Analytic Hierarchy Process Model Research Articles

Analysis and Evaluation of Species Invasion

Invasive species, like dandelions, threaten biodiversity and bring economic and ecological risks. It is important to evaluate whether they are beneficial and their interactions with local species. This article stimulates the occurrence of invasion, evaluates the influencing factors of three species, and finally provides their invasive ranking. We used the Vensim model to dynamically simulate the intrusion process and supplemented it with an Agent Based Model (ABS). Under all other conditions, we found that for every 10% increase in birth rate, the number of dandelions increases by nearly 20%. We construct an Analytical Hierarchy Process (AHP) model to calculate the impact factor for different species. Our models have passed sensitivity tests. The model deepens our understanding of the dynamic process of species invasion and provides a theoretical framework for the identification and control of invasive species. In the future we will improve the models by collecting more comprehensive meteorological data to demonstrate the impact of seasons on seeding processes and try to displace number of Google search results to surveys on ecology experts to promote the scientific basis of our impact factor.

From Research to Retweets—Exploring the Role of Educational Twitter (X) Communities in Promoting Science Communication and Evidence-Based Teaching

Twitter has evolved from its initial purpose as a microblogging social network to a pivotal platform for science communication. Equally, it has gained significant popularity among teachers who utilize communities like the German #twitterlehrerzimmer (TWLZ; Twitter teachers’ lounge) as a digital professional learning network. (1) Background: To date, no studies examine how science communication is conducted on Twitter specifically tailored to teachers’ needs and whether this facilitates evidence-based teaching. (2) Methods: Answering the three research questions involved a comprehensive mixed methods approach comprising an online teacher survey, utility analysis using Analytical Hierarchy Process (AHP) models, and machine learning-assisted tweet analyses. (3) Results: Teachers implement research findings from the TWLZ in their teaching about twice a month. They prefer interactive tweets with specific content-related, communicative, and interactive tweet features. Science communication in the TWLZ differs from everyday communication but notably emphasizes the relevance of transfer events for educational practice. (4) Conclusions: Findings highlight that dialogue is essential for successful science communication. Practical implications arise from new guidelines on how research findings should be communicated and encourage teachers to reflect on their Twitter usage and attitude toward evidence-based teaching. Recommendations for further research in this emerging field are also discussed.

Multi-Disaster Hazard Analysis, The Case of Elazığ Province

In this study, a comprehensive assessment of disaster hazards in Elazığ province, where the Eastern Anatolian Fault Zone passes through, was conducted. Hazard maps for earthquakes, floods, landslides, rockfalls, avalanches, desertification, and erosion were integrated to create a multi-hazard map. Various methods, such as the Analytic Hierarchy Process (AHP) and machine learning models, including the Random Forest algorithm, were employed to assess the severity and probability of exposure for each hazard type. Independent variables, including VS30, liquefaction potential, Digital Elevation Model (DEM)-derived data, and climatic data, were selected based on relevant literature and the study area. For earthquake and erosion hazards, intuitive models were used due to the absence of a single dependent variable. The desertification map was obtained from the Ministry of Environment, Urban Planning, and Climate Change. The Random Forest model was used for other disaster hazard maps. All hazard maps were combined using a hierarchical approach with the Weighted Overlay tool. The study generated a spatial synthesis and database intended to offer proactive insights into disaster preparedness, optimizing resource allocation, and expediting recovery efforts post-disaster within the Elazığ Province. Its primary objective is to provide assistance to local authorities and emergency response teams. In the province, a significant portion of urban settlements and the majority of rural areas face high earthquake hazards. Floods pose a considerable risk, particularly in low-lying areas downstream of numerous dams scattered across the province, as well as at the confluence points of seasonal riverbeds. The hazard of landslides is high in the rugged areas along the EAF and in steep terrains eroded by rivers. Moreover, rock falls occur more frequently in mountainous areas along the Hazarbaba-Akdağ axis due to erosion and physical dissolution. Erosion and desertification represent significant slow-moving hazards, with erosion intensifying on steep slopes and barren lands, while desertification notably affects Baskil and its surrounding low-lying areas in the western part of the province. Considering multiple hazards, areas with concentrated settlements and economic activities such as Elazığ, Baskil, Kovancılar, Karakoçan, and Behrimaz plains are categorized as very high and high-risk zones.

An assessment framework for underground construction methods in the pre-construction stage: a technical perspective

The selection of an appropriate underground construction method plays a crucial role during the pre-construction phase as it must consider various aspects, such as safety, technical feasibility, and cost-effectiveness. However, there is still a lack of technical assessments for selecting suitable underground construction methods in the research field. Therefore, this study aims to build an assessment model to technically assess such methods in the pre-construction stage. Firstly, technical assessment factors were obtained from literature reviews, expert consultations and survey results. Factor analysis was performed to reveal the underlying significance of each factor. The Fuzzy Analytic Hierarchy Process (Fuzzy AHP) model was then constructed to assess the relative importance of each factor. Finally, the assessment model was validated by seeking experts’ opinions on its performance in a practical project. The study resulted in a Fuzzy AHP model established from a list of 8 groups of factors with 35 refined factors, covering many aspects from documents and resources to geology and hydrology. The validation results demonstrated the model’s effectiveness in assisting contractors to make informed decisions. This study has contributed to construction literature by introducing a novel framework for underground construction methods, offering a practical tool for pre-construction planning and decision-making.

Use of Ergonomics and Analytical Hierarchy Process Model for Selection of Cities of Small Medium Enterprises

Fish Smoking is a traditional method that has long been used in fisheries. The use of fish smoking devices can have a negative impact on human health which results in the entry of smoke into the eyes, lungs, and skin. In order not to be harmful to human health, ergonomic and healthy fish smoking devices are used. This study analyzes the prioritization of Small Medium Enterprises (SMEs) groups in the use of fish smoking devices to reduce the risk of health problems. The approach method used in this analysis uses the Ergonomics and Analytical Hierarchy Process (AHP) method to determine the priorities of SMEs groups in the use of fish smoking devices. The criteria in this analysis are Ergonomics (Safe, Comfortable, Healthy), Health, Education Level, Community Participation, Motivation, Habits, and Resistance. The results of the analysis found that priority choices in percentage include E, A, B, D, and C regencies. It is hoped that with the holding of Diffusion Technology Results of Innovation Products (DTHPI), the use of modern fish smoking devices that are more ergonomic, healthy, and practical can help improve the welfare of SMEs.

Integrating the Coupled Markov Chain and Fuzzy Analytic Hierarchy Process Model for Dynamic Decision Making

This paper introduces a pioneering model that merges coupled Markov chains (CMC) with the fuzzy analytic hierarchy process (FAHP) to enhance multi-criteria decision making (MCDM) amidst the dynamic interplay of criteria. Traditional MCDM frameworks often lack the granularity to manage the intricate and changing relationships among criteria. Our model addresses this gap by integrating fuzzy numbers into AHP, providing a nuanced means to handle the inherent uncertainty of decision criteria. The application of the Kronecker product in CMC enriches our approach, offering a data-driven analysis while mitigating excessive dependence on subjective expert opinion. A comprehensive numerical example underlines the model’s improved decision-making accuracy and efficiency, marking a substantial advancement in MCDM methodologies. This research contributes to the field by presenting a sophisticated yet practical framework for dynamic decision analysis in complex uncertain environments.

Hierarchical fuzzy comprehensive evaluation of prevention and control level of occupational hazards in coal mines

Objective: To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines. Methods: In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average. Results: The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good. Conclusion: The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

Solid mineral potential evaluation using integrated aeromagnetic and aeroradiometric datasets

The analytical hierarchy process (AHP) was employed to delineate the mineralisation potential across the notable schist belts in northwestern Nigeria. High-resolution aeromagnetic and aeroradiometric datasets were taken into consideration. This was achieved by using advanced signal enhancement techniques to study the structures, identify the hydrothermal alteration zones (that could serve as a pathway for mineralisation), and understand the geologic settings. Amongst the enhancement techniques are first vertical gradient, analytic signal, CET grid analysis and porphyry, Euler deconvolution, and K/Th ratio. The analytic signal reveals lithologic contact, structures and anomalous occurrences that aided the classification of the site into three magneto-lithologic zones: high (> 0.094 nT/m), intermediate (0.028 to 0.094 nT/m), and low magnetic zones (< 0.028 nT/m). The high magnetic zones (HMZ) were considered the main magnetic source outlines, which are inferred to be dominantly intrusive zones for hydrothermal activities. The 3-dimensional Euler deconvolution reveals highly magnetic and intrusive depth sources to be within the range of < 100 to 500 m. The Centre for Exploration Targeting (CET) grid technique revealed the structural distribution from which the lineament density map was produced. The orientations of the prevalent structural anomalies are E-W, NE-SW, WNW-ESE and NW–SE, with similar orientations observed from the first vertical gradient and the analytic signal. The highly dense structural zones coincide with the high magnetic zones and high-frequency amplitudes of the analytic signal and the vertical gradient map, respectively. Additionally, the CET porphyry detects the centres of the intrusive porphyries to be within zones of high lineament density. This reveals that the mineralisation potential of the area is structurally controlled. On the other hand, radioelement maps (eU, eTh, and K%) and ternary maps were used for lithological classification. The radiometric ternary map revealed the highly radioactive zones and the superior concentration of individual radioelements in their respective areas. The K/eTh ratio map delineates highly potassic alteration zones. The AHP model and weighted overlay tool were employed to integrate the analytic signal, lineament density, and K/Th ratio. Consequently, the mineralisation potential of the study site was revealed and classified into high, moderate, and low. This result was validated using known mine sites. There was a total agreement, with 87.5% of mines plotting within the high mineralisation potential class and 12.5% in the moderate class. Promising targets were identified for development.

AHP-based quantitative evaluation of radiation safety in nuclear technology utilization units

In order to protect human health from the hazards of nuclear radiation, it is necessary to standardize the management of irradiation equipment. According to the principle of “man-machine-management-environment” intrinsic safety, analytic hierarchy process (AHP) and cloud model method were adopted. A quantitative safety evaluation index system was established from four aspects: safety management, safety environment, irradiation equipment and experimental team. Based on the actual situation of an experimental institution, the safety grade of this experimental institution was systematically analyzed. The safety grade of this experimental organization was excellent, but it still needs to improve certain aspects. Corresponding management recommendations were put forward for nuclear technology utilization units of different safety levels.

Functional analysis of technological innovation systems enabling digital transformation: A semi-quantitative multicriteria framework applied in the olive sector

CONTEXTTechnological innovation systems (TIS) play a key role in facilitating digital transformation (DT) in various sectors. In agriculture in particular, traditional qualitative assessments of TIS fall short of providing actionable insights. The olive sector in Andalusia, a world leader in olive cultivation, is a case where DT is essential for long-term competitiveness and sustainability. OBJECTIVEThe objective of this article is twofold: 1) to provide a comprehensive methodological framework for the functional analysis of a TIS, which allows a semi-quantitative assessment of the performance of a TIS at subfunctional, functional and global levels; and 2) to illustrate the application of this framework to the case of the TIS for the DT of the olive sector in Andalusia. METHODSUsing the Analytic Hierarchy Process (AHP), the framework allows the performance of the TIS for the DT of the olive sector in Andalusia to be measured along different functions, providing a nuanced and actionable assessment. AHP is a multicriteria decision making methodology that allows the decomposition of a discrete decision problem into a hierarchical structure. Expert knowledge was used to evaluate the proposed AHP model of the performance of the TIS for the DT of the olive sector, in particular a panel of 34 experts. RESULTS AND CONCLUSIONSThe application of the framework identified the main weaknesses in the functions of knowledge transfer, business activities and resource mobilisation within the TIS for the DT of the olive sector of Andalusia. Conversely, strengths were identified, particularly in the areas of market formation and knowledge development. Policy recommendations are made to address these weaknesses and capitalise on the strengths identified, thereby accelerating the DT of the sector. SIGNIFICANCEThis study adds to the TIS literature by providing a semi-quantitative, multicriteria, replicable and adaptable framework for agricultural innovation policy. The framework provides actionable insights for policy makers and stakeholders in the olive sector to foster an environment conducive to DT and thereby steer agriculture towards an innovative, competitive and sustainable trajectory. Insights from the olive case offer lessons for DT in similar contexts.

A Prioritization Method to Optimize School Operational Assistance Fund by Using AHP Approach

In Indonesia, education funding provided by the central government is made up of the components of personnel costs, investment costs, and operating costs. Since its implementation in 2005, the program has found several obstacles. It’s crucial to have an optimization tool to overcome the complications. The main problems that have arisen in the allocation of these funds so far have been lacking in planning and the lack of participation of the school ecosystem, in particular in determining the planning, planning documents and the priority scale of the projects. Program and activity plans based on the School Operating Assistance (BOS) platform. The Analytical Hierarchy Process (AHP) model is a prioritization approach based on determining the priority scale on the comparison of one option with another. The AHP model is a powerful but simple method that is usually used to make decisions. This approach has been implemented in various sectors, business, government, management, and education. In this study, the AHP model was used to determine the priority scale on the criteria of BOS allocated funds in the current year so that it could be absorbed optimally and can be utilized properly in its implementation for Vocational School activities. The results of the study show that the use of AHP makes it easier for school residents to prioritize the use of funds for school activities. Using the AHP model allows managers to record strategic goals using weighted criteria as the basis for prioritizing the use of funds. AHP can also work among different stakeholders in the school (principals, treasurers, teachers, and committee, parents/guardians) to participate in decisions about the use of BOS funds, to improve the quality and form of decision support taken to improve school performance.

Drought susceptibility modeling with geospatial techniques and AHP model: a case of Bilate River Watershed, Central Rift Valley of Ethiopia

Drought continues to be the worst natural hazard in the world affecting ecosystems, economies and overall human welfare with severe consequences in developing countries. While drought is an unavoidable climatic phenomenon, actions can be made to improve preparedness and mitigate the impacts upon proper forecast on susceptibility. Drought susceptibility modeling plays a key role in determining how best to mitigate and adapt to drought occurrences. This research explores the application of geospatial techniques and Analytic Hierarchy Process (AHP) in drought susceptibility modeling for the drought-prone Bilate River watershed, located in the central Rift Valley drylands of Ethiopia. A total of 15 parameters were used including rainfall, temperature, evapotranspiration, soil moisture, normalized difference vegetation index, land surface temperature, soil texture, land use-land cover, topographic wetness index, modified normalized difference water index, drainage density, slope, elevation, population density and aspect to model drought susceptibility. Findings showed that nearly 70.2% of the area falls under the moderate drought category, followed by the severe (23.2%), mild drought (6.6%) and extreme (0.02%) drought categories in the watershed. Based on zonal administration, Wolayta Zone has a high spatial coverage of severe drought with 54.1% (659.3 km2) while Hadiya has a high spatial coverage of moderate drought with 24.6% (908.9 km2). The drought susceptibility model (DSM) receiver operating characteristic (ROC) curve was then created, and the area under curve (AUC) was calculated. The results of the analysis showed that the AUC is 0.701 (70.1%) indicating that the model is reasonably good model. Hence, geospatial approaches in conjunction with the AHP model improved the drought susceptibility modeling’s reliability, which has significant implications for drought adaptive management and preparedness planning.

Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques

Choosing appropriate locations for built-up growth while maintaining natural balance has become necessary for sustainable urban planning. To this end, two multi-criteria decision-making (MCDM) approaches—the multi-influencing factor (MIF) and the analytical hierarchy process (AHP)—have been applied in this work. The MIF model results show that 23.546% of the study region was very highly suitable for newly built-up areas, and 18.786% was restricted for urban settlement, whereas, in the AHP model, 28.907% of the area was highly suitable, 17.619% was restricted for urban settlement. Finally, the dependability and efficiency of the two models used for the study area were assessed through the receiver operating curve (ROC) and area under curve (AUC) analysis. The comparative analysis demonstrates that the MIF approach (AUC 0.817) is more suitable and reliable than the AHP (AUC 0.783). The present work provides new insights to integrate GIS tools with MCDM for practical urban land suitability assessment.

Problem analysis of financial aspects of halal culinary micro enterprises

This research aims to recommend priority problems that must be resolved regarding the financial aspects of halal culinary micro-enterprises in Bangkalan Regency. Data on financial aspects of micro business problems was taken using interview, observation, documentation, literature study and questionnaire methods. A questionnaire instrument was used to obtain data on weighting problems regarding the financial aspects of micro businesses. The questions asked in the questionnaire are related to preferences and assessments of aspects of the financial problems of halal culinary micro-enterprises that are being evaluated. The research respondents were 12 people who were determined using a purposive sampling technique, with the criteria of understanding culinary micro businesses in Bangkalan which included academics, bureaucrats, business actors, culinary micro business associations and banking employees. The collected data is processed using Analytic Hierarchy Process modeling, starting from identifying goals, to analyzing results. Through the Analytic Hierarchy Process, it can be seen that the main challenge faced by halal culinary micro businesses in Bangkalan Regency is poor financial records which have an impact on business sustainability and growth. Therefore, improving financial records is a top priority that needs to be addressed with training, the use of applications that are simple and easy to use. The government must provide training and assistance as well as provide incentives or subsidies to micro businesses that implement a good financial recording system. Good financial records will encourage the growth of halal micro businesses in Bangkalan and will strengthen the regional and national economy.

Green Marketing Performance Statistics Based on AHP and BP Neural Network Models

In order to promote the development of circular economy, starting from green marketing is the best means. Combining artificial neural network technology and hierarchical analysis subjective evaluation method, the key factors affecting green marketing performance were analyzed by constructing an evaluation index system for green marketing performance statistics, and the relative weights of each performance indicator were calculated by using analytic hierarchy process (AHP) and the relative importance ranking was given. Then the evaluation results were introduced into the neural network model as input variables. The evaluation results are trained and tested by using the inverse inverse propagation neural network. Finally, the simulation results show that the model can not only reduce the defects of subjective randomness, but also improve the predictability, accuracy and effectiveness of green marketing performance statistics. The calculation results are accurate, the method is feasible, and the errors are controllable, which has theoretical scientific significance and practical guiding significance.

Corporate governance for sustainable development in Vietnam: Criteria for SOEs based on MCDM approach.

This research explores the nexus between corporate governance and sustainable development, focusing on State-Owned Enterprises (SOEs) in Vietnam. Recognizing the pivotal role of SOEs in the national economy, this study employs a Multi-Criteria Decision-Making approach (MCDM) to assess and enhance the corporate governance frameworks of these entities. First, the Data Envelopment Analysis (DEA) model is employed to identify the most qualified prospective SOEs firms based on several quantitative criteria. Then, the spherical fuzzy analytic hierarchy process (SF-AHP) model is used to identify priority weights for a given set of qualitative criteria, the Evaluation based on distance from average solution (EDAS) model is implemented to rank enterprises in the SOEs sector. To validate the proposed models, a case study conducted within the Vietnamese electric power industry is utilized. The MCDM methodology integrates diverse factors such as business management, corporate social responsibility, and corporate governance shareholder to construct a comprehensive evaluation framework. By applying this approach, the study aims to identify the key drivers and barriers influencing corporate governance practices within Vietnamese SOEs. The study's findings illustrate the efficacy of the suggested approach in evaluating corporate governance performance, providing valuable insights for policymakers, corporate leaders, and stakeholders involved in shaping the governance landscape of SOEs in Vietnam. By aligning corporate governance with sustainable development principles, the research aims to contribute to the ongoing discourse on responsible business practices, offering practical recommendations to enhance the performance and resilience of SOEs in the pursuit of long-term socio-economic and environmental sustainability.

Mapping and prediction of the level of Land Use Conflict using Analytical Hierarchy Process and Celluar Automata-Markov Model in Benue, Nigeria.

Mapping and prediction of the level of Land Use Conflict using Analytical Hierarchy Process and Celluar Automata-Markov Model in Benue, Nigeria.

Software Quality Assessment Approach using Analytical Hierarchical Model: Applied in SMEs

Continuous software quality evolution is crucial albeit challenging due to tight budgets and timelines. In fact, neglecting software quality in favour of customer satisfaction; either by reducing internal or external defects or by adding technical features shall place much pressure on project managers and stakeholders to find a balance between project budget and schedule. The increasing demand for high-quality software among stakeholders emphasizes the need for comprehensive approaches that can evaluate and rank quality metrics to maximize their benefits. In this research paper, we introduce an assessment approach developed using key quality metrics integrated from Cost Of Software Quality (COSQ) metrics, reliability metrics, and cost of defects metrics based on quantitative multicriteria decision analysis capabilities of the Analytic Hierarchy Process (AHP) model applied with a real case study for the software development team in Small and Medium Enterprises (SMEs) since most of them do not follow standards nor adopt well-structured quality methods. The evaluation is established based on the integrated AHP assessment approach as a practical solution for organizations seeking a critical examination of the relative significance of software metrics in terms of their utility in enhancing business performance. As a result, an evaluation of these quality metrics has been conducted to highlight the percentage of weight for each quality metric based on interviews with subject matters experts. The ranking of software quality metrics greatly helps stakeholders in selecting the most appropriate attribute for evaluating the developed software to identify high-impact quality initiatives and measure their effectiveness in the Software Development Life Cycle (SDLC)

Supply Chain Management Strategies Approach for the UK Textile Industry

This study focuses on the specific types of supply chain strategies throughout the UK textile industry as extant literature has either emphasised on the fashion apparel industry or on sub-industry of fast fashion. A combination of normalised local priority weights of criteria and sub-criteria is used with respect to successive hierarchical levels which modelled in an Analytical Hierarchy Process (AHP) at different levels. This helped in obtaining global composite priority weights for all the sub-criteria at third level of AHP model. The changes in different factors are observed with respect to digitalisation in sensitivity analysis at different levels of variations in the weight for which marginal changes are noted in the following variables: development of key suppliers, supplier capability auditing, and long-term orientation with suppliers. Supply base optimisation and purchasing integration showed changes at all levels of variations. Purchasing and production strategy was crucial as primary criteria for accomplishing the goal of the supply chain management future. There was substantial evidence from the three companies participating in the research that purchasing and production strategies play equally significant roles in successful digitalisation, identification, and delivery.

Geospatial modeling for enhanced landslide susceptibility mapping in atlas mountains of the northeast of Algeria

This study presents a practical geospatial approach, based on geomatic principles, to create landslide susceptibility maps that meet contemporary landscape and land management priorities. By employing a GIS-based statistical modeling, our methodology seamlessly integrates a wide range of factors including topography, lithology, land use, and precipitation. This comprehensive approach allows for a holistic evaluation of landslide susceptibility. We use two widely recognized multi-criteria techniques, namely the Analytic Hierarchy Process (AHP) and the Fuzzy Logic Ratio (FR), which in result produce two distinct yet complementary landslide susceptibility maps (LSMs). The creation of these LSMs relies on a carefully curated dataset of landslides, collected through rigorous analysis of high-resolution satellite imagery, interpretation of aerial photographs, and extensive fieldwork. Eleven key factors are selected to inform the modeling process. To assess the accuracy of the LSMs, we employ ROC curves, with the FR method demonstrating superior predictive performance, achieving an impressive accuracy rate of 75% compared to the AHP model's 65%. These findings highlight the effectiveness of our approach in identifying high landslide susceptibility areas, providing valuable insights for informed land use planning, hazard mitigation strategies, and rapid emergency response measures. The GIS-based statistical modeling technique showcased in this research provides a robust framework for generating precise landslide susceptibility maps in complex mountainous landscapes. This research makes a significant contribution to the evolving field of geomatics, enhancing landscape resilience and promoting sustainable land management practices.