VIsekriterijumska Optimizacija I KOmpromisno Resenje Method Research Articles

Construction and application of economic resilience evaluation model for megacities.

Economic resilience provides a new perspective for megacities to achieve sustainable development when facing multiple shocks, and its accurate evaluation is an essential prerequisite for optimizing urban governance. There are currently no generally accepted methods for empirical evaluation or measuring economic resilience, and the present study aims to contribute to in both the research field and methodology. The present study sets dimensions and indicators based on economic resilience's theoretical and empirical research and used Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interactive Structural Modeling (ISM) methods to exclude the effect indicators and divide the indicator hierarchy, respectively. Subsequently, the present study conducts model validation using Chinese megacities as a case study. The game theory weighting method, which combines the Analytic Hierarchy Process (AHP) and Entropy methods, is used to calculate indicator weights, and the VIKOR (VIseKriterijumska Optimizacija i KOmpromisno Resenje) method is used to evaluate and compare economic resilience of megacities. The research findings indicate that the evaluation model constructed in the present study included 15 indicators (after excluding three effect indicators) divided into four levels. After merging the levels, they correspond to three dimensions: resistance, recoverability, and adaptability. In addition, using Chinese megacities as a case study, the evaluation results found that Beijing, Shanghai, and Shenzhen have high economic resilience, Tianjin and Guangzhou have moderate economic resilience, Chengdu has low economic resilience, and Chongqing has the lowest economic resilience. This result is consistent with previous studies and verifies the model's effectiveness. The present study also found that megacities with lower levels of economic resilience exhibit a more significant upward trend, as well as the highest and higher proportion of economic resilience in Chinese megacities depending on time passes, indicating that megacities' economic resilience is weakening. The evaluation result obtained in the present study is more specific, precise, and focused on depicting the distribution differences and development trends of economic resilience at the urban level.

A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems

The growth of Internet of Things (IoT) systems is driven by their potential to improve efficiency, enhance decision-making, and create new business opportunities across various domains. In this paper, the main selection problems in IoT-type systems, criteria used in multi-criteria evaluation, and multi-criteria methods used for solving IoT selection problems are identified. Then, a Hybrid Group Multi-Criteria Approach for solving selection problems in IoT-type systems is proposed. The approach contains the Best Worst Method (BWM) weighting method, multi-criteria Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Complex Proportional Assessment Method (COPRAS), and a method that combines the solutions obtained using the four considered multi-criteria methods to obtain a single solution. The SAW, TOPSIS, VIKOR, and COPRAS methods were analyzed in relation to their advantages, disadvantages, inputs, outputs, measurement scale, type of normalization, aggregation method, parameters, complexity of implementation, and interactivity. An application of the Hybrid Group Multi-Criteria Approach for IoT platform selection and a comparison between the SAW, TOPSIS, VIKOR, and COPRAS solutions and the solution of the proposed approach is realized. A Spearman correlation analysis is presented.

Using VIKOR and RSM-DA in the optimization of dry turning of 9XC steel

Dry turning is an effective method for reducing the production costs and environmental impact of machining processes. In this study, the effect of cutting speed (Vc), feed rate (fz), and depth of cut (ap) on the surface roughness (Ra) and material removal rate (MRR) of 9XC steel during dry turning was investigated. A Box-Behnken experimental design was employed to analyze the main effects and interaction effects of these cutting parameters. In this research, the combining Response Surface Methodology - Desirability Approach (RSM-DA) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method were both employed for solving multiple objective optimization problems, and their performance was compared. The results from both methods can be assessed based on their ability to identify the optimal set of parameters that simultaneously optimize surface quality and production rate, as well as their computational efficiency and ease of implementation. Both RSM-DA and VIKOR have been found effective for solving multi-objective optimization problems, such as optimizing cutting parameters in dry turning. While RSM-DA is a statistical tool that combines multiple objectives into a single function, VIKOR is a decision-making method that ranks alternatives based on multiple criteria. The choice of which method to use depends on the specific requirements of the problem and the availability of resources for implementation. The research results show that both VIKOR and RSM-DA are suitable for solving the multi-objective optimization problem of the turning process. According to the VIKOR method, the optimum cutting conditions were found to be a cutting speed Vc of 120 m/min, a depth of cut ap of 0.1 mm a feed rate fz of 0.06 mm/rev, and, which resulted in a surface roughness of 0.209 um and a material removal rate of 0.72 cm3/min. Meanwhile, RSM-DA predicts the optimal Ra and MRR values of 0.254 um and 3.36 cm3/min, respectively; corresponding to the Vc of 180m/min, fz of 0.06mm/rev and ap of 0.3mm; That means, the increasing the value of surface roughness by 21.5% will increase the MRR by 366.7%. The findings of this study can provide guidance for selecting the appropriate cutting parameters for dry turning of 9XC steel to achieve desired surface roughness Ra and material removal rate MRR in the specific case.

Wastewater Treatment Technologies Selection Using Analytical Hierarchy Process and VIKOR Methods: A Case Study

Due to the ever-increasing water scarcity problem across the globe, the treatment of wastewater is an important public health and socio-economic issue. Treating wastewater through proper technology is vital to protect the ecosystem from unsafe and contaminated matter available in wastewater. Identification of suitable wastewater treatment technologies is a complex Multi-Criteria Decision Making (MCDM) problem since it includes many conflicting assessment criteria. The objective of the paper is to construct an integrated model using the Analytical Hierarchy Process (AHP) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for evaluating wastewater treatment technologies (WWTTs). AHP is applied to calculate criteria weights, and the VIKOR method is applied to prioritize and select the best WWTTs. The proposed model is applied to selecting the best WWTT among four alternatives and seven criteria. It is found that the proposed model yields better results when compared with other MCDM solutions.

IMPROVING PERFORMANCE OF THE BANANA AGROINDUSTRY SUPPLY CHAIN USING MCDM (MULTI CRITERIA DECISION MAKING)

The problems faced by the banana agro-industry include the procurement process of raw materials from banana suppliers, which has not been able to meet the industry's needs. The selection process of banana suppliers has not been a factor considered by the industry in its strategic planning. The technology used should be able to produce quality processed banana products, but in reality, production is still below the available normal capacity. The distribution of processed banana products to consumers has not been well identified, and market access is still limited, resulting in stagnant industry development. The aim of this research is to identify the problems related to the performance of the banana agro-industry supply chain, measure the performance of the banana agro-industry supply chain, and provide and evaluate solutions that can be used to improve the performance of the banana agro-industry supply chain. The method used in this research is to measure the performance of the supply chain using weighting with the multiple criteria decision-making (MCDM) method, which consists of the Analytical Hierarchy Process (AHP), determining alternative solutions using the VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method. The results show that the identification of problems in the banana agro-industry supply chain consists of 5 main criteria and 20 sub-criteria, as well as 7 proposed solutions. The measurement of the supply chain performance resulted in a score of 32.032 (poor), indicating that the performance of the banana agro-industry supply chain is still low. The alternative solution provided to improve the performance of the banana agro-industry supply chain is to establish collaboration and partnerships among supply chain stakeholders.

Effectiveness Evaluation of Online Teaching Based on CRITIC-VIKOR Technology

Abstract—A system including 18 second-level indexes was constructed first from three aspects to further scientifically evaluate the effectiveness of online teaching. These aspects are the effectiveness of technical support, students’ online learning, and teachers’ online teaching. Moreover, the weights of indexes affecting the effectiveness of online teaching were calculated using the improved CRITIC (Criteria Importance Though Intercrieria Correlation) method, followed by the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje)-based effectiveness evaluation for the online teaching of five majors, including microbiology in Henan Agricultural University. Results show that three indexes—repeated playback promotes knowledge review and consolidation (X2-2), breaking through time-space restriction facilitates learning whenever and wherever possible (X2-1), and good teacher–student and student–student interaction (X3-2)—rank top three in weight. The Q value measured using the VIKOR method reflects the best effectiveness of online microbiology teaching. The CRITIC-weighted VIKOR online teaching effectiveness evaluation model is proved to be flexible and feasible in evaluating the online teaching effectiveness of different subjects, such as schools, majors, and students. The research findings are of specific guiding significance for scientifically adjusting online teaching behaviors and carrying out online teaching activities. Moreover, this research can promote the application of big data analysis in online teaching effectiveness analysis and be of reference value for the process data evaluation of students’ online learning.

Risk Analysis for Offshore Wind Turbines Using Aggregation Operators and VIKOR

In various engineering actions, potential hazards are reduced, calculated, or controlled using a variety of risk analysis methodologies. The FMEA, or Failure Mode and Effects Analysis, is a very efficient strategy that may be used in this situation. When evaluating safety concerns, failure modes' likely causes and consequences are considered. Serious failures in the FMEA are identified using the Risk Priority Number (RPN). The RPN considers the effect of the probability of occurrence, probability of detection and severity by multiplying these three parameters. However, because of the formula's various flaws, it is frequently criticized. In the current work, a hybrid approach using ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and geometric averaging of ordered weights (OWGA) as an aggregation operator is used to assess risk for offshore wind turbines. While the OWGA technique is used to provide weight to risk indices, the VIKOR method is used to assess the relevance of failure modes of offshore wind turbine components. The method's final findings show it solves the issues with the traditional RPN technique and produces more logical outcomes.

Picture fuzzy Additive Ratio Assessment Method (ARAS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for multi-attribute decision problem and their application

The purpose of this paper is to study the multi-attribute decision-making problem under the fuzzy picture environment. First, a method to compare the pros and cons of picture fuzzy numbers (PFNs) is introduced in this paper. Second, the correlation coefficient and standard deviation (CCSD) method is used to determine the attribute weight information under the picture fuzzy environment regardless of whether the attribute weight information is partially unknown or completely unknown. Third, the ARAS and VIKOR methods are extended to the picture fuzzy environment, and the proposed PFNs comparison rules are also applied in the PFS-ARAS and PFS-VIKOR methods. Fourth, the problem of green supplier selection in a picture-ambiguous environment is solved by the method proposed in this paper. Finally, the method proposed in this paper is compared with some methods and the results are analyzed.

Ensemble feature selection using q-rung orthopair hesitant fuzzy multi criteria decision making extended to VIKOR

ABSTRACT This paper investigates ensemble feature selection using the q-rung orthopair hesitant fuzzy multi-criteria decision-making (MCDM) process. A novel algorithm is proposed for the study of ensemble feature selection and it is called as q-rung orthopair hesitant fuzzy MCDM extended to the Visekriterijumska optimizacija Ikompromisno Resenje (VIKOR) (q-ROHFS VIKOR). This is the first time in the literature an ensemble feature selection problem is modelled as a q-rung orthopair hesitant fuzzy MCDM extended to VIKOR technique. In the proposed method, every feature is ranked based on different available rankers and a preference matrix is obtained. In the sigmoidal transformation, the tuning parameter plays a vital role in the fuzzification process. This tuning parameter reduces the computation run-time in the fuzzification process for different high-dimensional datasets that are considered in this paper. By using q-ROHFS VIKOR method, a score is assigned to each feature based on the values of the preference matrix. At last, an output rank vector is produced for all features from which the user can select the desired number of features. To prove the efficiency and optimality of the proposed method, the comparison with basic filter-based feature selections and ensemble feature selection using feature ranking strategy is obtained. The proposed method in this paper is superior and efficient than the ensemble methods based on the accuracy and F-score levels upto 0.96.

Evaluating Barriers to Supply Chain Resilience in Vietnamese SMEs: The Fuzzy VIKOR Approach

This study aimed to determine and prioritize the critical barriers to supply chain resilience (SCR) in Vietnamese small and medium-size enterprises (SMEs), which play a crucial role in the global supply chain. Through a systematic literature review and expert consultation, 15 barriers to SCR were identified and evaluated by using the fuzzy VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method. The findings provide novel insights into the challenges of enhancing resilience in the Vietnamese supply chain and categorize the barriers into three main categories: the resilience phase, strategy resilience, and the competencies required. The results indicated that a lack of financial resources and alternative sources of supply are the most pressing barriers related to the resilience phase group. In terms of strategy resilience, the lack of a skilled and competent workforce was found to be the most critical obstacle. Furthermore, government delays in supporting and enacting appropriate policies were found to be the most pressing issue related to the competencies required. These findings offer valuable recommendations for managers seeking to address these barriers and enhance the resilience of the Vietnamese supply chain after COVID-19. By prioritizing and solving these critical obstacles, Vietnamese SMEs can better prepare for and recover from potential challenges in the future.

Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

Decisions in the health industry have a significant impact on human lives. With the COVID-19 pandemic, a global war is being waged. Vaccination is a critical component in this fight. The governments are attempting to offer their citizens the best vaccine for the public based on limitations. However, due to the unique characterizations of countries and the people who live in the country, the definition of “the ideal vaccination” is indefinite. Fuzzy set theory has been an ideal tool to cope with problems involving imprecise information such as the meaning of “ideal” in this case. In this study Interval Type-2 Fuzzy Sets (IT2FSs) will be used to describe uncertainty. This IT2FS structure will be the framework of the AHP (Analytic Hierarchy Process), to determine the criteria weights, and the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje), to generate a set of optimal choices. The main objective of this study is to sustain the necessary effect of uncertainty of fuzzy sets via the Interval Type-2 Fuzzy (IT2F) metric to the VIKOR method and thus propose an extended VIKOR. The presented new approach will be applied to the problem of vaccine selection for COVID-19. Hence, for the first time in the literature, an application with a multilevel hierarchy will be used in IT2FAHP-VIKOR. Also, obtained optimal solution set with this hybrid framework will be compared with fuzzy AHP-VIKOR and the rankings evaluated with the IT2FTOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and sensitivity analysis will be performed.

Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework

The inappropriate parking of free-floating shared bikes is a critical issue that needs to be addressed to realize the potential environmental, socioeconomic, and health benefits of this emerging green mode of transport. To address this challenge, this paper developes a Geographic Information Systems (GIS) based Multi-Criteria Decision Analysis (MCDA) framework for geo-fence planning of dockless bike-sharing systems based on openly accessible data. The Analytic Hierarchy Process (AHP) and the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method are applied in the proposed framework to derive optimal geo-fence locations. The proposed framework is validated in a case study using a dataset of dockless bike-sharing trips from February 2020 in the City of Zurich and comparing the selected geo-fence locations with the existing bike-sharing stations. The assessment results show that the calculated geo-fence locations have a smaller average distance of 1395 m than that of 1692 m, and a larger demand coverage of 81% than that of 77% for bike-sharing stations. Overall, the proposed framework and the insights from the case study can help transport planners better implement shared micro-mobility hence facilitating the uptake of this sustainable mode of urban transport.

Three-way decision approach for water ecological security evaluation and regulation coupled with VIKOR: A case study in Beijing-Tianjin-Hebei region

Owing to the great correlation between human survival and water ecological security (WES), the research on the evaluation and regulation of WES is of great significance. However, the evaluation thought of WES is not clear enough and most of the evaluation methods can only get ranking results subjectively, which are not suit to judge the grade, especially in the complex and uncertain decision environment. Thus, under the guidance of the resilience idea, it is proposed to build an evaluation indicator system of WES from three aspects: resistance, restorative and adaptability. Then the data were transformed into Pythagorean fuzzy number (PFN), and the resilience index was obtained based on VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method to realize ranking; After that, the comprehensive thresholds were estimated by the resilience index, and a new three-way decision (3WD) model for the WES evaluation was constructed for grade evaluation; Finally, the model was applied to the evaluation of WES in Beijing-Tianjin-Hebei region (BTH) of China from 2006 to 2020. The results show that the WES in BTH has significant spatial-temporal differentiation; From 2006 to 2020, except Hebei, the WES level has not been significantly improved; Beijing, Tianjin and Hebei were respectively in grade III, V and I in 2016–2020; The resistance of WES is an urgent direction to be optimized in Beijing and Tianjin, while Tianjin and Hebei should strengthen the restorative of WES. The model framework constructed in this study is effective and has good generalizability, which can provide a new way for WES evaluation.

OPTIMIZING SERVICE QUALITY MANAGEMENT OF THE BUS RAPID TRANSPORT SYSTEM IN LAGOS USING THE MULTI-CRITERIA DECISION ANALYSIS

Evaluation of Bus Rapid Transportation (BRT) based on service quality criteria and customer satisfaction can never be overemphasized due to its derivative, such as optimizing the performance of the transportation industry. Thus, this study employs the multi-criteria decision-making (MCDM) method for the evaluation of service quality and customer satisfaction of the BRT system in Nigeria using the fuzzy analytical hierarchy process (FAHP) and visekriterijumska optimizacija i kompromisno resenje (VIKOR), which are components of multi-criteria optimization and compromise solution to evaluate notable factors responsible for the user’s perspective. Research design is quantitative and analytical in nature through a survey of experts who are users of BRT services. Samples were drawn through a multi-stage sampling procedure and a total of 402 copies of questionnaires were administered to BRT users based on their experience with the system. Hence, VIKOR and FAHP methods are applied to analyse data retrieved from the field on services quality and performance level. The service quality (SERVQUAL) model (a multi-dimensional research instrument designed to capture consumer expectations and perceptions of service) was modified thereby generating six dimensions and thirty-six service criteria for this research. The FAHP method was employed to determine the weights of the decision criteria because there is a need to measure commuters’ perceptions and expectations based on numerical linguistic variables due to the vague, imprecise and complexity related to the nature of services. The criteria weights and responses of the survey analysis (data) related with the BRT are input for the VIKOR method for ranking. As measuring the perception of service quality based on crispy value can often be misleading, hence, the use of the fuzzy MCDM method can give a more realistic measurement. The result of the multi-criteria decision analysis revealed that pricing quality is the most relevant service quality dimension to users’ satisfaction, followed by the empathy quality dimension. The summary of strength and weakness areas of service quality discovered through the research and its managerial implications with recommendations were related to the appropriate authority in charge of the BRT system for improved performance.

Prioritization and identification of vulnerable sub-watersheds using morphometric analysis and an integrated AHP-VIKOR method

Abstract This study used satellite imagery datasets to extract various morphometric parameters in a geospatial environment to prioritize problematic areas in the Rarhu watershed of Ranchi district, Jharkhand, India. Two decision-making methods, the analytical hierarchy process (AHP) and VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje), were integrated to prioritize different sub-watersheds. The Rarhu watershed has an area of 630 km2 with an elevation ranging from 210 to 824 m. The NASA Digital Elevation Model (NASADEM) was used to extract drainage networks which were verified from Survey of India (SOI) toposheets. To prioritize 21 sub-watersheds using a multi-criteria decision making (MCDM) method, 11 morphometric parameters were selected from linear, areal, and relief parameters. The VIKOR method prioritized sub-watersheds using AHP criteria weights, which are classified into four priority levels ranging from very high to low. In addition, performing sensitivity analysis validated the robustness of the decision-making model. As per the analysis, Rarhu watershed was found to have an elongated shape and a highest 6th order stream with a dendritic pattern of streams. It is estimated that watershed degradation is around 36.17% in the study area, with very high priority needs for soil and water conservation measures. Using the results of the study, policymakers, watershed planners, watershed development programme, and soil and water conservation programme projects can identify vulnerable sub-watersheds that require urgent adaptation of soil and water management control measures.

Quality Evaluation of Wasteless Mining in Dongguashan Based on Intuitionistic Fuzzy Set and VIKOR

Wasteless mining has become the mainstream mode of China’s mining industry, which is an environmentally friendly and sustainable mining method. To effectively evaluate the construction of a green mine, the wasteless mining evaluation method was proposed, based on the intuitionistic fuzzy set theory and the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) decision-making method in this study. Firstly, the intuitionistic fuzzy sets for six indicators (such as waste rock utilization, tailing sand utilization and the current mining situation) of the Dongguashan Copper Mine were established, based on the intuitionistic fuzzy set theory and the national standard system. Secondly, referring to the green mine evaluation system, the index weights were calculated with the Analytic Hierarchy Process (AHP) method. Finally, the above intuitionistic fuzzy set matrix was ranked by the VIKOR method. The calculation results show that the group utility value of this mine is 0.1943 ∈ (0,0.2), which is at level I; the individual regret value is 0.0916 ∈ (0.075,0.15), which is at level II; the compromise value is 0.2193 ∈ (0.2,0.4), which is at level II. Through comprehensive assessment, the final evaluation of the wasteless mining in the Dongguashan Copper Mine is Grade II. The Dongguashan Copper Mine is one of the first mining enterprises subject to the transformation into wasteless mining in China. The results of the final evaluation are consistent with the current status of wasteless mining in the Dongguashan Copper Mine.

Watershed prioritization using morphometric analysis by MCDM approaches

Due to the highly complex nature of human and ecological systems, soil erosion has increased considerably. Therefore, understanding watersheds and future forecasting circumstances using a watershed approach must be developed significantly on a spatial dimension. It's crucial to understand the watershed's key zones with a lineage of soil erosion as they undergo stream displacement and soil erosion issues. So, there is a need for proper soil and water management treatments to overcome continuous soil loss by runoff and other ecological problems in the Pindar watershed. In this study, an attempt has been made to explore several morphometric characteristics of the Pindar River watershed, which is located in the Uttarakhand districts of Chamoli and Bageshwar, using Geographic Information System (GIS) and remote sensing techniques for prioritizing the sub-watersheds in order to develop a suitable management plan to combat land degradation in order to assist in future management and conservation by four Multi-Criteria Decision Making (MCDM) techniques, viz., Analytical Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Finally, the performance of MCDM prioritization techniques was evaluated. For this purpose, 13 morphometric characteristics, including basic, linear, form, and landscape, were extracted and analyzed using an SRTM DEM with a spatial resolution of 30 m. Sub-watersheds' prioritization revealed that, according to the AHP, FAHP, TOPSIS, and VIKOR models, sub-watershed 26 is the most prone to erosion. The findings demonstrated that morphometric criteria are highly effective at identifying erosion-prone locations. The evaluation of the MCDM approaches has been done based on the percentage of changes and the intensity of the changes. The results indicated that the FAHP, with a change percentage of 71.21, has more efficiency and accuracy than the VIKOR, AHP, and TOPSIS methods, with 62.89%, 62.88%, and 62.12%, respectively. The results of the evaluation of the intensity of changes showed that the FAHP model had the highest rate of change (1.22), whereas the AHP, TOPSIS, and VIKOR methods, with the intensity of changes of 1.09, 1.09, and 1.07, placed in the next rank. Concerning the values of the percentage of changes and the intensity, it can be stated that the FAHP model has been more accurate than the other models.

An information measure based extended VIKOR method in intuitionistic fuzzy valued neutrosophic value setting for multi-criteria group decision making

The paper presents an extended VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for solving group decision-making problems. The uncertainties given in the data are handled with the help of the intuitionistic fuzzy valued neutrosophic values (IFVNVs), which allow decision-makers to carry more detailed information while providing their preferences in the imprecise environment. The proposed VIKOR method utilized the features of IFVNVs and computed the distance measures between their pairs using $L^p$-metric and $L^\infty$-metric. The weights of the different criteria are computed by using the entropy-based measures for the families of IFVNVs. The presented method has been illustrated with a numerical example. A comparative interpretation and the sensitivity analysis of the parameter associated with the technique are achieved to reveal their influences.

Highway Route Planning via Least Cost Path Algorithm and Multi Criteria Decision Analysis Integration, a Comparison of AHP, TOPSIS and VIKOR

Highways are one of the main structures of cities in the field of economic, social, and environmental facilities that connect cities, regions, and people each other. Determining the suitable highway routes includes difficult and complex processes due to the construction costs. Additionally, priorities, expectations, and constraints for economic, social, and environmental parameters must be considered together to provide efficient solutions to requirements. Multi Criteria Decision Analysis (MCDA) techniques such as Analytical Hierarchy Process (AHP), Ideal Solution Similarity Selection Ranking Technique (TOPSIS), and Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Least Cost Path Algorithm (LCPA) with Geographical Information Systems (GIS) combination are the most suitable way to overcome these complexities. In this study, slope, aspect, geology, elevation, distances to roads, settlements, water bodies, fault lines, buildings, natural disasters, protected sites, population, and land use were selected to determine most suitable highway construction areas and route. The AHP, TOPSIS, and VIKOR methods were applied to calculate cost surfaces for least cost paths generation with LCPA, and the generated three routes were compared. As a result of the comparisons VIKOR route was the most suitable route considering the topographical statistics and all the three methods consistent with each other and current road.

Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul

• The AHP and ANP were performed to assess hazard and vulnerability, respectively. • DEMATEL technique was integrated to define the ANP structure for criteria assessment. • Focus group discussions were conducted at each level of the framework refinement. • Income level and education level have highest weights in vulnerability cluster. • Return period of a storm event is the most significant criteria in hazard cluster. Multi-dimensional risk assessment strategies aided by the active participation of stakeholders are essential to combat flood events for metropolitan cities. This study aims to prioritize the districts of Istanbul regarding flood hazard, flood vulnerability, and flood risk with a multi-tiered comprehensive decision-making procedure. The proposed framework was enriched by focus group discussion, which was conducted through the professionals dealing with flood risk management in Istanbul. Analytical hierarchy process (AHP) was used to evaluate hazard criteria while the vulnerability criteria were subjected to the analytical network process (ANP). The structure of the ANP was adjusted by adopting the decision-making trial and evaluation laboratory (DEMATEL) technique. VIKOR (Visekriterijumska Optimizacija I Kompromisno Resenje) method was employed to obtain district scores. Findings highlighted the income level, education level, and population density criteria regarding vulnerability cluster, while the return period of a storm event, storm water pipe network and imperviousness were the most significant hazard criteria. Sensitivity analysis of the VIKOR method also showed the robustness of the adopted methodology and the stability of the computed results under diverging conditions. The proposed generic framework can be replicated in other densely urbanized metropolitan cities and corresponding recommendations could assist decision-makers in achieving sustainable development goals.