Multi-criteria Decision Analysis Model Research Articles

Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models

Landslides pose a significant threat to lives and socio-economic stability globally. In this study, we conducted a comprehensive landslide susceptibility mapping (LSM) in the western region of Cameroon, focusing on Bafoussam and its surroundings. The integration of multi-criteria decision analysis models (AHP), statistical methods (Information Value IV, Shannon Entropy SE, Frequency Ratio FR), and machine learning algorithms (Naïve Bayes and Logistic Regression) provided a robust assessment of landslide risk. Our analysis, based on 54 recorded landslides, carefully selected Landslide Conditioning Factors (LCF), and influential parameters such as lithology, slope, altitude, and precipitation, resulted in susceptibility maps categorizing the area into five risk zones. The Spatial distribution shows the centre and northwestern regions as high-risk areas. Model sensitivity differences underscore the need for tailored LSM selection. Validation using the Area Under Curve/Receiver Operating Characteristics (AUC/ROC) method indicates the LR and NB methods have the highest accuracy (82.7% and 84.1%, respectively). Comparative analysis of landslide events in Gouaché, Sichuan, Souk Ahras, and Kekem reveals correlations between heavy rainfall and geological conditions. The study supplies valuable insights for decision-makers in landslide-prone areas, emphasizing the importance of integrating multiple methodologies for comprehensive risk assessment and management.

Assessing evidence-based practice competencies of undergraduate nursing students using a developed multi-criteria decision-analysis model

AimThe developed multi-criteria decision analysis model was used to identify the inter-influence relationships and key factors affecting the EBP competencies of UNSs, to assess the EBP competencies of UNSs and based on these results, to formulate an improvement strategy to enhance the EBP competencies of UNSs. BackgroundEBP is considered a core competency in international nursing practice. However, few studies have developed EBP evaluation models and applied them to assessing and improving the EBP competencies of UNSs. DesignThis is a quantitative study with multi-criteria decision-analysis model. MethodsFirstly, the questionnaire was designed based on the characteristics of the DEMATEL and VIKOR-AS methods, which was completed by 17 nursing experts from a case hospital in Zhejiang Province, China. Subsequently, the DEMATEL method was used to analyze the inter-influence relationships among various criteria to determine their respective weights. Finally, the VIKOR method is utilized to integrate multiple criteria and their relative weights to assign comprehensive scores to each UNSs. ResultsThe use of the DEMATEL method reveals that “Knowledge (C1)”, “Mastering the basic scientific research methods during the study of the undergraduate courses (C11)”, “Being able to consult clinical experts appropriately when encountering problems in clinical practice (C23)” and “Understanding the importance of reading journals related to the nursing profession regularly (C34)” were critical influencing factors. “Skill (C2),” “Being able to explain the essential roles of the best research evidence in determining clinical practice (C15),” “Being able to apply the collected research evidence to the individual case in nursing care (C25)” and “Paying attention to using the evidence-based nursing practice concept to determine the best clinical practice (C35)” were the most influential factors. According to the VIKOR method, the performance of the UNSs in the case hospitals in terms of EBP competencies from highest to lowest was Student C, Student B and Student A. However, all of these students suffered from deficiencies at the knowledge level. ConclusionsThe application of the DEMATEL and VIKOR methods provides a systematic and comprehensive approach to the assessment of EBP competencies of UNSs. The lack of EBP competencies of UNSs in case hospitals is mainly reflected in knowledge level. To improve UNSs’ EBP competencies, medical schools and hospital educators should propose short- and long-term strategies to improve knowledge.

Approaches to risk-benefit assessment of seafood consumption: lessons learned from an evidence scan.

Qualitative and quantitative risk-benefit assessments (RBA) can be used to support public health decisions in food safety. We conducted an evidence scan to understand the state of the science regarding RBA in seafood to help inform seafood dietary advice in the United States. We collected published RBA studies assessing seafood consumption, designed inclusion and exclusion criteria to screen these studies, and conducted systematic data extraction for the relevant studies published since 2019. Our findings indicate the selection of health risks and benefits does not generally follow a systematic approach. Uncertainty and variability in RBAs is often not addressed, and quantitative RBAs making use of a single health metric generally have not been leveraged to directly support published regulatory decisions or dietary guidance. To elevate the role of RBA in supporting regulatory decision-making, risk assessors and risk managers must work together to set expectations and goals. We identified the need for a prioritization phase (e.g., multicriteria decision analysis model) to determine the risks and benefits of greatest public health impact to inform the RBA design. This prioritization would consider not only the degree of public health impact of each risk and benefit, but also the potential for risks and benefits to converge on common health outcomes and their importance to subpopulations. Including a prioritization could improve the utility of the RBAs to better inform risk management decisions and advance public health. Our work serves to guide the United States Food and Drug Administration's approaches to RBA in foods.

Integration of multi-criteria decision analysis and statistical models for landslide susceptibility mapping in the western Algiers Province (Algeria) using GIS techniques and remote sensing data

Integration of multi-criteria decision analysis and statistical models for landslide susceptibility mapping in the western Algiers Province (Algeria) using GIS techniques and remote sensing data

Clinical comprehensive evaluation of Shexiang Tongxin Dropping Pills

Based on literature and questionnaire research, related evidence and related data on Shexiang Tongxin Dropping Pills were collected in terms of safety, effectiveness, economy, innovation, suitability, and accessibility. In addition, multi-criteria decision analysis(MCDA) model was used to comprehensively evaluate the clinical value of Shexiang Tongxin Dropping Pills. Quality control was carried out strictly based on evidence-based medicine evaluation. Shexiang Tongxin Dropping Pills were recommended for stable fatigue angina of coronary heart disease with Qi deficiency and blood stasis by guidelines and experts. The conventional treatment of western medicine adds Shexiang Tongxin Dropping Pills to reduce the frequency of angina attacks, shorten the duration, improve exercise tolerance, and improve the quality of life and Chinese symptoms, and the effectiveness is rated as grade A. Adverse reactions are mostly general adverse reactions, and no serious adverse reactions have been reported, consistent with the known risks listed in the instruction for adverse events, contraindications, and precautions. The safety is rated as grade A, and the daily cost is 7.74 yuan. The cost-effectiveness shows that it is a treatment regimen with pharmacoeconomic advantages, and the economic performance is rated as grade A. According to specialist research, Shexiang Tongxin Dropping Pills have good clinical innovation and service innovation, and innovation is rated as grade A. There are no special storage conditions, medicinal material ingredients, or other restrictions, and the clinical use meets the specifications of the medication guidelines. The suitability is rated as grade A. The price level, availability, and affordability of drugs are generally good, and the accessibility is rated as grade A. The clinical value of Shexiang Tongxin Dropping Pills is great.

Multi-criteria decision analysis model using the q-rung orthopair fuzzy similarity measures and the COPRAS method for electric vehicle charging station site selection

Multi-criteria decision analysis model using the q-rung orthopair fuzzy similarity measures and the COPRAS method for electric vehicle charging station site selection

Multicriteria decision analysis tool for faculty performance evaluation in higher education institutions

Higher education institutions (HEIs), which are the major economic drivers in a nation, rely on their faculty for quality. The quality of faculty performance is assessed through performance appraisal methods. Performance appraisal methods help management assess the performance of employees and further the scope of improvement. Traditional methods of performance evaluation based on quantitative data involve more mathematical calculations than scientific approaches. The drawback of these methods is that they consider overall scores and not the individual factors of performance. This is exceptionally relevant when there are multiple disciplines in HEIs. In this study, the Multi-Criteria Decision Analysis (MCDA) model using MACBETH is used to explore its usefulness in explicitly dealing with the trade-offs between performance measures, making the process of performance measurement and management more transparent and defendable. Faculty performance across different disciplines was considered in this study, and faculty performance was evaluated using the MACBETH score. The advantage of MACBETH is that weight can be assigned to specific criteria, and accordingly, analysis can be carried out. Based on which criteria are assigned the highest weight, that factor is considered for the final output. In this study, the results obtained showed significant differences in the performance rankings of the faculty members when compared to those of the traditional methods, suggesting that the FSTs are useful tools for performing performance appraisals.

The usefulness of gamification for enhancing customer loyalty to small e-tailers

PurposeThis study aims to explore the use of gamification elements by micro and small e-tailers to enhance customer loyalty. Additionally, this research seeks to identify the most promising gamification elements that can be utilised for this purpose.Design/methodology/approachThe authors adopt a qualitative approach to examine the impact of gamification on online customer loyalty to micro and small e-tailers. Data were gathered using a combination of two types of expert interviews. Semi-structured interviews were held with micro and small e-tailers while large e-tailers served as the control group. Structured interviews based on multi-criteria decision analysis (MCDA) models were conducted to determine the most promising gamification elements.FindingsThe content analysis reveals that gamification has significant potential for fostering customer loyalty and offering various other benefits. However, small e-tailers often refrain from implementing gamification solutions due to the resource requirements in terms of finances, time, information technology and human capital. By assigning weights as an essential step in MCDA models, the authors determined that badges, medals, quests, avatars and competitions are the most promising gamification options for small e-tailers’ efforts to enhance customer loyalty.Originality/valueThe study makes a unique contribution to the understanding of the usefulness of gamification in augmenting customer loyalty and identifying essential gamification elements for micro and small e-tailers.

Optimal site selection for construction and demolition waste disposal using GIS-FAHP: a case study from Kafr El Sheikh City, Egypt.

The increasing number of building and demolition projects results in huge amounts of construction and demolition wastes (CDWs) that are illegally dumped. However, these wastes must be disposed of in appropriate legal sites to protect the environment and human health. After reviewing the literature, no prior research examined optimal site selection for dumping or recycling CDW in an Egyptian city. Furthermore, the absence of field surveys did not offer a holistic understanding of the specific criteria used in the model for this region, nor did it permit an assessment of the suitability of existing dumpsites, thereby revealing certain limitations in the final results. In this regard, this research aims to apply a multi-criteria geographic information system (GIS)-based framework to identify an optimal site for CDW disposal in Kafr El Sheikh City. The criteria affecting the site selection are identified and categorized from prior literature, which are further refined using field surveys and focus group to evaluate their applicability in the context of an Egyptian city. After conducting questionnaire surveys, the trapezoidal interval type II fuzzy analytic hierarchy process is applied to compute the weights of the identified criteria from the perspective of each group of experts. The entropy-based aggregation approach is employed to identify the compromise weights taking into account the preferences of different groups. GIS is a powerful tool for geoprocessing and analyzing spatial big data. The result is a scenario map for the optimal site locations with varying suitability scales (i.e., excellent, very good, good, average, poor, and very poor). The proposed methodology provides what-if scenarios based on a selected set of criteria. According to the results of the multi-criteria decision analysis models, the suitability varies based on the weights of the criteria. For the equal-weighted criteria model, the excellent category covers 5.96% of the study area, increasing to 6.48% for the weighted criteria model. These areas primarily lie in the northeast direction. Conversely, the majority of the study area, 41.80% under equal-weighted criteria and 32.39% under weighted criteria, falls within the average and poor suitability categories, respectively. In general, the most suitable areas are located on the outskirts of the city, and the suitability decreases near the central business district. To bridge the gap between research findings and practical applications, a land use analysis employing satellite imagery is conducted to pinpoint suitable locations for CDW disposal. Existing CDW dumpsites predominantly fall within the range of poor to very good for the equal-weighted criteria model, while the weighted criteria model categorizes them into the poor (16.66%) and average (83.33%) categories. The findings demonstrated the applicability of the proposed framework for CDW disposal management and planning.

The practice of multi-criteria decision analysis modeling in decision support for landscape planning

Abstract In this paper, after constructing the index system of garden landscape planning, the entropy weight method and hierarchical analysis method are used to combine and assign weights to each index. Using a multi-criterion decision analysis model to establish the decision matrix of landscape planning alternatives, the weighted normative value of each indicator is obtained to obtain the weighted normalization matrix for landscape planning. According to the matrix analysis to get the positive and negative ideal solution of each index, calculate the utility function value between each alternative and the perfect solution, and get the optimal decision-making scheme of landscape planning. The analysis of the three options for landscape planning found that Scheme S2 has the largest utility function value of 0.642, which is considered the optimal scheme. The analysis of the application effect of this scheme found that the proportion of garden green space in the Xinghua garden landscape area increased by 16.23 % compared with 2010, and the proportion of enterprise and institutional land decreased by 5.04 %. The analysis results of this paper show that the multi-criteria decision analysis model plays a highly supportive role in the decision-making of landscape planning, and lays a foundation for the decision-making of the optimal scheme in future landscape planning.

Clinical comprehensive evaluation of Houyanqing Oral Liquid in treatment of acute pharyngitis

This study systematically combed the existing evidence of Houyanqing Oral Liquid in the treatment of acute pharyngitis from the "6+1" dimensions of safety, effectiveness, economy, innovation, suitability, accessibility, and characteristics of traditional Chinese medicine(TCM) and carried out qualitative and quantitative analysis of the data from each dimension. The multi-criteria decision analysis(MCDA) model and CSC v2.0 were used to evaluate the clinical value of this drug, so as to provide evidence for the selection of essential drugs in the department of otolaryngology and for medical and health decision-making. The dimensions are graded A, B, C, or D. The adverse reactions of Houyanqing Oral Liquid in the treatment of acute pharyngitis were mainly manifested as abdominal pain, diarrhea, rash, etc., which were relieved after drug withdrawal. In terms of safety, it was considered that Houyanqing Oral Liquid had controllable risk and high safety, which was rated as grade B. Compared with ribavirin aerosol alone, Houyanqing Oral Liquid combined with ribavirin aerosol can significantly improve the total response rate, shorten the time to abatement of fever and di-sappearance of throat pain and mucosal congestion, and alleviate mucosal congestion and cough with sputum. With medium-quality evidence, the effectiveness was rated as grade B. Compared with ribavirin aerosol alone, Houyanqing Oral Liquid combined with ribavirin aerosol had cost-effectiveness advantages in the treatment of acute pharyngitis, and its economy was rated as grade C with the evidence of general quality. For acute pharyngitis, Houyanqing Oral Liquid can shorten the disease course and obviously relieve sore throat. Moreover, it can be used for the treatment of radioactive pharyngitis and oral ulcer, and thus its innovation was rated as grade B. With convenient and simple administration and standard and complete drug information, the suitability of this drug was rated as grade B. Houyanqing Oral Liquid is derived from the folk prescription in Hunan province and has been subjected to real-world studies, and thus the TCM characteristics was rated as grade B. According to the ratings of all the dimensions, the comprehensive value of Houyanqing Oral Liquid in the clinical treatment of acute pharyngitis was determined as grade B, with sufficient evidence and clear results. It is suggested that the results should be conditionally converted into relevant policy of clinical basic drug management according to procedures.

Clinical comprehensive evaluation of Jinsang Sanjie Pills/Capsules in treatment of vocal nodule/polyp of vocal cord

This study used health technology assessment methods and multi-criteria decision analysis(MCDA) model, according to the guideline for clinical comprehensive evaluation of Chinese patent medicine, we developed this assessment tool. The comprehensive evaluation score of Jinsang Sanjie Pills/Capsules is calculated based on the additive model. This score is calculated by "quantitative evaluation software v1.0 for clinical comprehensive evaluation of Chinese patent medicines" which developed by the project team. The evaluation yielded the following results.(1)Effectiveness: compared with the control group, Jinsang Sanjie Pills/Capsules can improve the total effectiveness rate of vocal nodule/polyp of vocal cord, and improve the symptoms and signs.(2)Safety: Jinsang Sanjie Pills/Capsules did not show acute toxicity and long-term toxicity. The most common adverse reaction was gastrointestinal system damage, all of the adverse reactions were either improved or cured.(3)Economy: from the perspective of the health system, evaluating the single use or combination of Jinsang Sanjie Pills/Capsules with conventional medication in the treatment of vocal nodule/polyp of vocal cord is relatively effective and cost-effective compared to conventional medication, with a stable cost-effectiveness advantage.(4) Innovation: Jinsang Sanjie Pills/Capsules are used for the treatment of slow throat paralysis(vocal nodules, polyp of vocal cord, thickening of vocal mucosa) caused by heat toxin accumulation, Qi stagnation and blood stasis, and the resulting hoarseness. Jinsang Sanjie Pills/Capsules have good innovation and targeted indications.(5) Suitability: the investigated doctors, pharmacists and patients all believed that Jinsang Sanjie Pills/Capsules have good suitability.(6)Accessibility: Jinsang Sanjie Pills/Capsules are included in the category B of the National Basic Medical Insurance, Work Injury Insurance, and Maternity Insurance Drug Catalogue(2021 edition), which have good cost-effectiveness and affordability for medical insurance and self-paid patients. Jinsang Sanjie Pills/Capsules do not contain endangered animals and plants. The supply of raw materials can meet the demand of production at present. The comprehensive evaluation score is 76.06 points. Based on all dimensions of evidence, 71.4% experts consensus on Jinsang Sanjie Pills/Capsules is class A, which can be directly converted into decision making. This study comprehensively evaluated the clinical application value of Jinsang Sanjie Pills/Capsules in the treatment of vocal nodule/polyp of vocal cord, so as to provide evidence for their rational clinical use and regulatory decision-making.

OP133 COVIDIAGNOSTIX: Health Technology Assessment For COVID-19 Serological Tests As Companion Diagnostics To Vaccination

IntroductionIn scenarios of vaccine scarcity or the context of organizational complexity, it is necessary to define prioritization strategies for allocating vaccine in compliance with the criteria of equity and efficiency of health resources. The COVIDIAGNOSTIX project, based on health technology assessment (HTA), assessed the role of SARS-CoV-2 serological tests as a companion diagnostic in the definition of strategies for vaccine administration. To guarantee evidence support for health policy choices, two different strategies were analyzed: one based on administering the vaccine booster dose to the entire population (VACCINE strategy) and the other based on allocation criteria (TEST&VACCINE strategy).MethodsAn Italian multidisciplinary team conducted a decision-oriented HTA using a combination of the EUnetHTA Core Model and the multicriteria decision analysis model based on the Analytic Hierarchy Process.Moreover, the Department of HTA method was integrated with the Susceptible-Exposed-Infectious-Recovered model, appropriate modelling techniques, simulation, and quantification of uncertainty that considered the ability to reduce deaths and to contain the pandemic. After identifying the evaluation elements and the decision-making structure, the weights of the evaluation areas and key performance indicators were calculated. This is a constituent part of the mathematical model of data processing, as the Analytic Hierarchy Process was based on a structured questionnaire that compared the relative importance of the two elements on a qualitative scale (1=equal importance; 9=more important).ResultsThe processing of the scores attributed to the key performance indicators concerning all the evaluation domains resulted in a performance of 94 percent for the TEST&VACCINE strategy and 84 percent for the VACCINE strategy. The TEST&VACCINE strategy was the most advantageous in various scenarios due to the greater speed of response from an operational and economic point of view.ConclusionsThe assessment schemes defined by COVIDIAGNOSTIX (i.e., technologies, intended use, and settings), which highlight the characteristics that differentiate the tests from each other and guarantee a timely and appropriate evaluation, can be adapted to respond to similar health policy management situations.

Assessment of sustainable drainage strategies in urban water systems using urban water metabolism and multi-criteria decision analyses

Abstract The simulation of urban water metabolism (UWM) allows for the tracking of all water, energy, and material flows within urban water systems (UWSs) and the quantification of their performance, including emissions into the air, water, and soil. This study evaluates seven drainage strategies (DSs) within conventional and sustainable urban drainage systems (SUDSs) using UWM and multicriteria decision analysis (MCDA). The DSs were designed to assess their corresponding UWM performances, employing key performance indicators (KPIs) related to sewer system balance, energy consumption, greenhouse gas (GHG) emissions, acidification, eutrophication, contamination, and sludge production. The outcomes were ranked using the compromise programming MCDA model. The top three strategies were permeable pavements, green spaces, and infiltration trenches and sand filters. The approach used for the evaluation of DS can provide valuable insights for decision-makers, support the promotion of sustainable integrated UWS management and adaptation, and accommodate design variations in urban drainage. Sensitivity analysis on uncertain parameters and KPI selection also contributed to robust and sustainable urban drainage solutions.

Research paradigm for high-precision, large-scale wind energy potential: An example of a geographically-constrained multi-criteria decision analysis model at the km-level in China

Wind power plays a pivotal role in China's endeavor to achieve its ambitious emissions reduction targets. However, the current research on wind energy potential lacks standardization, making it arduous to compare wind potential across different regions and match energy supply and demand accurately. To address this issue, this study developed a geographically-constrained multi-criteria decision analysis (GIS-MCDA) model to estimate China's wind energy potential at a resolution of 1 km2. The GIS-MCDA model is reconstructed from a geospatial perspective using 11 finely-grained metric indicators, significantly improving the accuracy of estimates. Moreover, this study proposes a research paradigm for wind energy potential that can serve as a reference for other countries and regions. The results demonstrate that China possesses a wind energy development potential of 4.6 TW at a height of 100 m, including 4.1 TW of onshore wind power potential and 0.5 TW of offshore potential. The abundant resources can assist China in achieving its zero-carbon emissions goal. However, the abundant wind energy resources in the "Three North" region of China do not match the current electricity demand. Conversely, the southeast coastal region presents significant potential for offshore wind power, heralding a new opportunity for wind power development. By depicting the deployment potential of wind power, this study provides more precise estimates, establishes a research paradigm for wind energy potential, enhances researchers' comprehension of wind energy development, and provides a replicable, scalable, and quantifiable wind energy potential measurement platform for effective planning of renewable energy.

Clinical comprehensive evaluation of Ruyi Zhenbao Pills in treatment of osteoarthritis

This study evaluated the clinical effectiveness of Ruyi Zhenbao Pills in the treatment of osteoarthritis, aiming to clarify its clinical advantages and promote rational drug use and related policy transformation. Following the relevant standards in Guidelines for the Comprehensive Evaluation of Drugs in Clinical Practice and Technical Specifications for the Clinical Comprehensive Evaluation of Chinese Patent Medicine, comprehensive research and related data on Ruyi Zhenbao Pills in the treatment of osteoarthritis were collected in the dimensions of safety, effectiveness, economy, innovation, suitability, accessibility, and traditional Chinese medicine(TCM) cha-racteristics(referred to as the "6+1" dimensions). Through evidence-based medicine, questionnaire surveys, health technology assessment, pharmacoeconomic evaluation, and other methods, a multi-criteria decision analysis(MCDA) model and CSC v2.0 software were used to comprehensively evaluate the clinical value of Ruyi Zhenbao Pills. Spontaneous reporting system data on adverse reactions and literature data indicate that the adverse reactions of Ruyi Zhenbao Pills are mostly general adverse reactions, with no reports of se-rious adverse reactions. The known risks are small, and its safety is rated as class A. It has been shown to effectively relieve joint pain and restore joint function in the treatment of osteoarthritis. However, more high-quality, large-sample randomized controlled trials are needed to further validate its effectiveness, which is rated as class B. There is evidence supporting its economic viability, and its economic is rated as class B. It demonstrates good clinical innovation, innovative enterprise service system, and industrial innovation, and innovation is rated as class A. Medical professionals and patients have a favorable perception of the suitability of Ruyi Zhenbao Pills, and further improvement can be made in terms of convenience of administration and promotion to facilitate rational drug use by healthcare professionals and patients. Suitability is rated as class B. The drug has a favorable price level, availability, and affordability, and accessibility is rated as class A. Ruyi Zhenbao Pills are a classic Tibetan medicinal prescription with excellent TCM theoretical characteristics. However, further research is needed on its use in human studies. TCM characteristics are rated as class B. Based on the evaluation results of the "6+1" dimensions, the comprehensive clinical evaluation is rated as grade B. Ruyi Zhenbao Pills have good clinical value in the treatment of osteoarthritis, and it is recommended to undergo the necessary procedures for conditional transformation into a policy for the management of essential clinical drugs.

Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities

Abstract Background Climate change significantly threatens human health, particularly in vulnerable municipalities. Multiple climatic, environmental, and socioeconomic factors influence municipal vulnerability. To effectively reduce this vulnerable, evidence-based tools for local decision-makers are needed. This study aims to present the development and application of a multicriteria decision analysis (MCDA) model to assess vulnerability to the health impacts of climate change in French municipalities. Methods We selected 59 municipalities to develop and apply the model. The development of the MCDA model involved a literature review on climate change and health, as well as active participation from an interdisciplinary committee composed of members from academic, associative, and professional sectors. This led to identifying 38 indicators to characterize vulnerability based on three components: climatic exposure, environmental and socioeconomic sensitivity, and adaptive capacity. These indicators were used as input to the MCDA model, which applied an outranking method to rank municipalities from most to least vulnerable. Results The MCDA model generated partial rankings by the components of vulnerability, as well as a complete ranking that integrated the three components. The results revealed the main indicators that explained the rankings and allowed for a typology of municipalities. The results helped prioritize interventions by identifying the indicators that have the greatest impact on the vulnerability of each municipality studied. Conclusions This study highlights the importance of considering multiple criteria and their interdependencies when assessing vulnerability. The results of the MCDA model provide an evidence-based tool to support decision-making processes at the local level. The MCDA model is a valuable tool for identifying and prioritizing effective interventions to reduce vulnerability in the studied municipalities. Key messages • The developed MCDA model is a valuable tool for local decision-makers to prioritize interventions and reduce vulnerability. • The developed MCDA model provides a robust evidence-based tool to support decision-making processes.

A classification model for municipalities in the paraense Amazon regarding the risk of violence against women: A multicriteria approach.

Violence against women (VAW) is a serious violation of the rights to life, health, and physical integrity. Recent studies point out that social, economic, and demographic factors directly impact the advance of this type of violence. In view of these facts, the state has its responsibility increased when it cannot provide the public equipment necessary for management strategies that collaborate with the confrontation of violence. This project aims to develop a multicriteria decision analysis model (MCDA) to classify Pará municipalities with regard to the propensity for VAW crime, based on the mapping of assistance and protection equipment, as well as socioeconomic indicators of each municipality. The model developed and the research findings represent an important step in elaboration. In turn, this model demonstrates its ability to be a possible instrument that decision makers and implementers of public policies aimed at protecting and supporting women victims of violence in order to anticipate new occurrences.

Benefit-Risk Assessment of Chinese Medicine Injections for Primary Liver Cancer Based on Multi-criteria Decision Analysis.

To evaluate the benefit-risk of 3 commonly used Chinese medicine injections, Aidi Injection (ADI), Cinobufagin Injection (CINI) and Compound Kushen Injection (CKI), in the treatment of primary liver cancer (PLC), so as to provide a reference for clinical decision-making. Randomized controlled trials (RCTs) of ADI, CINI and CKI in the treatment of PLC published in the databases of China National Knowledge Infrastructure, Wanfang, China Science and Technology Journal Database, SinoMed, PubMed, Cochrane Library, and Web of Science were retrieved from January 2020 to October 2022. The data of benefit and risk indicators were combined to obtain the effect value. The multi-criteria decision analysis (MCDA) model was applied to build the decision tree. The benefit value, risk value and benefit risk value of the 3 injections in PLC treatment were calculated. Monte Carlo simulation was carried out to calculate the 95% confidence interval and probability of differences among the 3 injections, so as to optimize the evaluation results. A total of 71 RCTs were included. The benefit values of ADI, CINI and CKI combined with transcatheter arterial chemoembolization (TACE) were 42, 38 and 36, respectively. The risk values were 42, 25 and 37, respectively. The benefit risk values were 42, 31 and 37, respectively. The benefit risk differences of ADI vs. CINI, ADI vs. CKI, and CKI vs. CINI were 11 (-0.86, 17.75), 5 (-5.01, 11.09), and 6 (-1.87, 12.63), respectively. The probability that ADI superior to CINI, ADI superior to CKI, and CKI superior to CINI was 96.26%, 77.27%, and 92.62%, respectively. Based on the results of MCDA model, CINI combined with TACE has the greatest risk in the treatment of the PLC. Considering the efficacy and safety, the possible priority of the 3 Chinese medicine injections combined with TACE in the treatment of PLC is ADI, CKI and CINI.

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India.

Chennai,the capital city of Tamil Naduin India, has experienced severalinstances ofsevere flooding over the past two decades, primarily attributed to persistent heavy rainfall. Accurate mapping of flood-prone regions in the basin is crucialfor thecomprehensive flood risk management. This study usedthe GIS-MCDAmodel, a multi-criteria decision analysis (MCDA) model that incorporated geographic information system(GIS) technology to support decision making processes. Remote sensing, GIS, and analytical hierarchy technique (AHP) were used to identify flood-prone zones andto determine the weights of various factors affecting flood risk, such as rainfall, distance toriver, elevation, slope, land use/land cover, drainage density, soil type, and lithology. Four groups (zones) were identified by theflood susceptibility mapincluding high, medium, low, and very low. These zones occupied16.41%, 67.33%, 16.18%, and 0.08% of the area, respectively. Historical flood events in the study area coincided with the flood risk classification and flood vulnerability map. Regions situated close to rivers, characterized by low elevation, slope, and high runoff density were found to be more susceptible to flooding. The flood susceptibility map generated by the GIS-MCDA accurately described the flood-prone regions in the study area.