Fuzzy VIKOR Approach Research Articles

Ranking failure modes with pythagorean fuzzy rough VIKOR approach

Ranking failure modes with pythagorean fuzzy rough VIKOR approach

AI based fuzzy MCDM models: Comparison and evaluation of dissimilar outcomes, an application to enhance pilot recruitment process

AbstractPilot recruitment is critical as they pose a multifaceted challenge for civilian and military organizations due to the complex traits impacting their missions and performance. In this study, a novel set of criteria and sub‐criteria were determined to compare twelve candidate pilots. Numerically immeasurable, imprecise, and non‐linear continuous fuzzy linguistic traits (variables) were studied which make the work unique and challenging due to individual preferences and disagreements between decision‐makers (DMs). The outcomes of three distinct fuzzy multiple criteria decision‐making (MCDM) approaches; fuzzy TOPSIS, fuzzy VIKOR, and fuzzy PROMETHEE were evaluated with trapezoidal fuzzy numbers (TFNs) to sort the positions of candidate pilots. Moreover, a unique defuzzification ranking method was employed to adjust the results of fuzzy MCDM methods for the synthesis and evaluation of outcomes of the pilot selection problem. All these efforts make the paper original and outstanding. Our findings and analysis suggested that fuzzy TOPSIS and PROMETHEE methods' outcomes showed maximum close similarity for ranking positions. However, substantial distinctions were noted when comparing these outcomes with the fuzzy VIKOR approach. Yet, the mission of predicting and revealing the best candidates is related to several traits, their weights, and the methods selected. Therefore, since vague information and ambiguous preferences match fuzzy superiority, a comprehensive and unbiased evaluation was achieved, ensuring the integrity of the decision‐making process. The results can be employed to enhance the safety and efficiency of airline operations and ensure that the most qualified and competent pilots are selected for the job.

Research on the Safety Evaluation Method for Quayside Container Cranes Based on the Best–Worst Method–Pythagorean Fuzzy VIKOR Approach

In the port domain, quayside container cranes are an indispensable component of maritime freight transport. These cranes are not only costly but also associated with safety accidents that often result in casualties and property loss, severely impacting port operations and the surrounding environment. Given their complex operational environment, rapid technological updates, high dependency on human factors, and the challenges of maintenance and inspection, the safety of quayside container cranes is a significant concern for port enterprises and managers. This paper, based on the operational modes and structural characteristics of the cranes, divides them into five main systems and identifies twenty-eight safety evaluation indicators, covering a comprehensive range of risk factors from equipment integrity to operator behavior, as well as environmental factors. However, numerous pain points exist in the safety risk evaluation process of quayside container cranes, such as fuzziness, uncertainty, and complex multi-criteria decision-making (MCDM) environments. These issues make traditional safety evaluation methods inadequate in accurately reflecting the actual safety conditions. Therefore, this paper proposes a safety evaluation method for quayside container cranes based on the Best–Worst Method (BWM) and Pythagorean hesitant fuzzy VIKOR. This method effectively overcomes the uncertainties and fuzziness of traditional safety evaluation methods by integrating the decision maker’s preference information from the BWM and the fuzzy handling capability of Pythagorean hesitant fuzzy sets, enhancing the accuracy and reliability of the evaluation results. A case study was conducted on a quayside container crane at a specific port. Through empirical analysis, the feasibility of the proposed method was validated. Overall, the safety evaluation method for quayside container cranes based on the BWM and Pythagorean hesitant fuzzy VIKOR proposed in this paper enriches the theoretical research on the safety risk assessment of quayside container cranes and offers a new approach and tool for port enterprises and managers in practice.

Assessment of polluted region using an integrated weighting approach and fuzzy VIKOR method

Air pollution exerts a profound impact on both public health and the natural environment. In India, festivals like Diwali also contaminate the air by releasing pollutants into the atmosphere. It is essential to identify the most polluted region by estimating these pollutants. Since air quality assessment involves multiple air pollutants, there may be inherent uncertainty associated with data. This study employs a fuzzy Multi Attribute Decision Making (MADM) framework fuzzy Analytical Hierarchy Process-Entropy-fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FAHP-Entropy-FVIKOR) to model the impact of air pollution as a decision-making problem to address the uncertainty and assess the air quality during the Diwali festival from 2019 to 2021 in Tamil Nadu, India. An integrated weighting approach is utilised to determine the weights of the air pollutants using a fuzzy Analytical Hierarchy Process and Entropy methods. Mainly, the fuzzy VIKOR approach is employed to rank the polluted regions. The validation of the proposed model is established through a comparative analysis using Spearman’s rank correlation with two other existing fuzzy MADM methods. Furthermore, a sensitivity analysis is conducted to evaluate the influence of priority weights and the interdependence of pollutants in determining regional rankings. The results conclude that a strong positive correlation is attained between the proposed and existing methods and the highest levels of air pollution during the festival period are observed in Gandhi Nagar (2019), Rayapuram (2020), T. Nagar, Sowcarpet and Triplicane (2021) in their respective years. These findings substantiate the consistency and effectiveness of the proposed approach.

Project selection for lean and Industry 4.0 integration using DEMATEL- AHP and fuzzy VIKOR approaches

Project selection for lean and Industry 4.0 integration using DEMATEL- AHP and fuzzy VIKOR approaches

An Interval-Valued Intuitionistic Fuzzy VIKOR Approach for R&D Project Selection in Defense Industry Investment Decisions

Defense Industry projects are high-budget projects that take many years, required infrastructure, and go through serious research and development processes. When making investment decisions, solutions obtained with models based on expert opinions and analytical techniques are required. At this point, interval-valued intuitionistic fuzzy (IVIF) methods are a good alternative to eliminate uncertainty, especially in order to evaluate all preference information provided by decision makers. In this study, multi-criteria decision making in the IVIF environment in the defense industry is extended with the VIKOR method. For the application, the literature was examined and 8 different criteria were determined. 4 different alternative projects were evaluated based on these criteria by 3 different decision makers. The results show that the analyzes performed with the VIKOR method in the IVIF environment are similar to the literature. Additionally, there is no study in the literature examining this methodology on the defense industry.

The Applicability of Multiple MCDM Techniques for Implementation in the Priority of Road Maintenance

Priority of road maintenance can be viewed as a process influenced by decision-makers with varying decision-making power. Each decision-maker may have their view and judgment depending on their function and responsibilities. Therefore, determining the priority of road maintenance can be thought of as a process of MCDM. Regarding the priority of road maintenance, this is a difficult MCDM problem involving uncertainty, qualitative criteria, and possible causal relationships between choice criteria. This paper aims to examine the applicability of multiple MCDM techniques, which are used for assessing the priority of road maintenance, by adapting them to this sector. Priority of road maintenance problems subject to internal uncertainty caused by imprecise human judgments will be reviewed and investigated, as well as the most popular theories and methods in group MCDM for presenting uncertain information, creating weights for decision criteria, examining causal relationships, and ranking alternatives. The study concluded that through the strengths and weaknesses reached, fuzzy set theory is the most appropriate and best used in modeling uncertain information. In addition, the methods that are employed the most common in the literature that has been done to explore the correlations between decision criteria have been examined, and it is concluded that the fuzzy best-worst method may be utilized in this research. The Fuzzy VIKOR approach is most likely the best method for ranking the decision alternatives.

Evaluating Wheat Suppliers Using Fuzzy MCDM Technique

Wheat has significantly impacted food security in numerous countries. Like the Middle East and North Africa (MENA) region, Jordan’s daily diet contains a sizable amount of wheat. Further, Jordan is dealing with several issues, including rapid population growth, water scarcity, widespread urbanization, and limited agricultural wheat production. Thus, it imports most of its wheat and wheat products. Moreover, the method of selecting suppliers in Jordan is unique, as private importers import for the benefit of the government, and thus, the selection of suppliers is carried out by importers. This study aims to examine the various supplier selection approaches to determine Jordan’s primary wheat suppliers and rank them according to specified criteria. The fuzzy-VIKOR approach was used to assess, select, and rank the best wheat suppliers in Jordan. The findings suggest that Romania is the best supplier of wheat for Jordan. It is recognized as the most affordable and trustworthy supplier since it is nearby, has strong links through official channels, and is flexible. Suppliers are subject to change or adjust their offerings as a result of changes in the global economy, wheat prices at the source, exchange rates, transportation and handling costs, crises, and national export levies. This study will help importers, decision-makers, and others concerned with wheat imports as a strategic commodity identify and select suppliers.

3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach

As a viable means to enhance the sustainability and competitiveness of aircraft manufacturing and maintenance, three-dimensional (3D) printing has been extensively used in the aircraft industry. However, due to the growing number of suitable 3D printers and the often-high prices of these 3D printers, aircraft manufacturers still face many obstacles in screening possible 3D printers. In addition, dependencies between criteria make it difficult for decision makers to properly assess their absolute priorities. Existing methods fail to address these issues. To solve this problem, this study proposes a nonlinear fuzzy geometric mean (FGM) and dependency-considered fuzzy vise kriterijumska optimizacija i kompromisno resenje (fuzzy VIKOR) approach. The first novel treatment is to design the nFGM method to ensure that the absolute priorities assigned to criteria are correct. Subsequently, in the dependency-considered fuzzy VIKOR, the dependencies between criteria are considered, and a realistic reference point is defined by measuring the distance from each 3D printer to it for proper evaluation. The nonlinear FGM and dependency-considered fuzzy VIKOR approach has been applied to assess and compare five 3D printers for manufacturing aircraft components.

Modelling and Mapping Urban Vulnerability Index against Potential Structural Fire-Related Risks: An Integrated GIS-MCDM Approach

Identifying the regions with urban vulnerability to potential fire hazards is crucial for designing effective risk mitigation and fire prevention strategies. The present study aims to identify urban areas at risk of fire using 19 evaluation factors across economic, social, and built environment-infrastructure, and prior fire rates dimensions. The methods for “multi-criteria decision making” (MCDM) include the Analytic Hierarchy Process for determining the criteria’s importance and weight of the criteria. To demonstrate the applicability of this approach, an urban vulnerability index map of Ardabil city in Iran was created using the Fuzzy-VIKOR approach in a Geographic Information System (GIS). According to the findings, about 9.37 km2 (31%) of the city, involving roughly 179,000 people, presents a high or very high level of risk. Together with some neighbourhoods with low socioeconomic and environmental conditions, the city centre is the area where the level of risk is more significant. These findings are potentially very meaningful for decision-makers and authorities, providing information that can be used to support decision-making and the implementation of fire risk mitigation strategies in Ardabil city. The results of this research can be used to improve policy, allocate resources, and renew urban areas, including the reconstruction of old, worn-out, and low-income urban areas.

A Novel Spherical Fuzzy VIKOR Approach Based on TODIM for Evaluating and Ranking the Opinion Polls With Shannon Entropy and Jensen-Shannon Divergence Measure

A Novel Spherical Fuzzy VIKOR Approach Based on TODIM for Evaluating and Ranking the Opinion Polls With Shannon Entropy and Jensen-Shannon Divergence Measure

Impediments of product recovery in circular supply chains: Implications for sustainable development

AbstractProduct recovery has fascinated the concentration of organizations and is prominent among industry practitioners and researchers due to improved environmental concerns, social awareness, and economic benefits. Circular supply chain (CSC) compounds the concept of product recovery in global supply chain management to present a sustainable perspective. Therefore, this study aims to determine impediments of product recovery and CSC toward sustainable production and consumption in the background of manufacturing organizations. This study determines potential impediments from literature and in consultation with experts. Further, a fuzzy VIKOR approach is practiced to prioritize the impediments of product recovery and CSC. Then, a sensitivity analysis is conducted to verify the robustness of the framework attained. The results from the study reflect that “lack of collaboration from supply chain performers”, “lack of tax policies for facilitating CSC models” and “limited expertise, technology, information on CSC practices” are the critical impediments to product recovery in CSCs. The findings of the study could assist industry managers and practitioners in developing procedures and strategies to attain sustainable development.

Application of the Multicriteria Method Seeking to Assess Concentration, and Its Effects on Competition in the Manufacturing Sector

(1) Background: comprehending market concentration and its implications is one of the most crucial aspects of studying and evaluating competition issues, and this is gaining increasing attention in companies’ sustainability research. Sustainability in the manufacturing industry refers to a company’s ability to continue operations over the long term. A manufacturing business must be able to ensure that it will have appropriate resources, labor, and consumers for its products well into the distant future in order to remain economically viable. At this time, market competition concentration influence is significant. The purpose of this article is to assess the viability of measuring the HHI in the implementation of business strategies in order to prevent market distortions in the manufacturing industry. (2) Methods: the distinguishing aspect of this paper is that it describes the capabilities of the fuzzy VIKOR approach for evaluating the HHI in order to avoid market distortion by studying the most important economic characteristics of the manufacturing market. (3) Results: the contribution of this study is the compilation of the HHI evaluation system in the manufacturing sector, with the goal of identifying the market conditions of corporate entities and facilitating the attainment of long-term market competitiveness. (4) Conclusions: a comparison of the multicriteria techniques approach and probability theories reveals that the industrial sector’s HHI-based performance may be measured. It is more adaptable to the organization’s actual decision-making procedure. The operation of manufacturing businesses in the market with the least amount of distortion can be significant for enhancing competitiveness not only at the national level, but also at the global level, particularly by enhancing reputation, reducing costs, responding to market demands, and adapting to market demands. The findings will be relevant for policymakers tasked with controlling market inefficiencies and fostering sustainable economic initiatives.

Fuzzy VIKOR approach to identify COVID-19 vulnerability region to control third wave in Assam, India

These days, the appraisal of the COVID-19 vulnerability has become a difficult errand for the whole world. The COVID-19 administration dynamic issue frequently includes numerous elective arrangements clashing standards. In this paper, we present a multi-criteria decision-making (MCDM) procedure based on the fuzzy VIKOR method to survey the COVID-19 vulnerability in the state of Assam, India. The trapezoidal fuzzy number is utilized to evaluate the rating of the loads for the set-up models. We have observed environment, social, and Medical factors after observing the spread of COVID-19. To study and to have comments, a committee of five experts has been formed from a different region of Assam to observe and comment to identify Coronavirus’s weakest factors. For a better survey, we have divided the state into four areas namely Rural Area, Urban Area, Market Area in Rural Area, and Market Area in Urban Area. The current research looked at how the fuzzy VIKOR selects provinces for urgent adaptation needs differently than a traditional MCDM technique.

A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management

This article aims to evaluate sustainable supply chain risks using a novel fuzzy VIKOR–CRITIC technique. The research contributions of this study are twofold. First and foremost, this is the first attempt to integrate the fuzzy VIKOR approach with the CRITIC method in order to eradicate the inadequacies of the VIKOR method. Second, this is the first study to look at the sustainable supply chain risk management in Pakistan’s logistics industry. Four logistics companies were chosen for the study, and thirty criteria were established and divided into four categories using acquired data and literature studies. According to the findings, organizational risks are the most important to consider, whereas environmental hazards have the least influence. Supply delays, freight rate/oil price fluctuations, bankruptcy, and natural catastrophe are the four most important criteria in these categories. Limited suppliers, cargo tracking, IT system failure, and international politics are the four least significant criteria in the four risk categories. The findings are useful for the logistics industry operating in CPEC for risk mitigation and sustainable operation. The research may be used as a guideline for risk identification and management by practitioners and decision-makers in Pakistani logistics organizations.

Risk assessment and mitigation for electric power sectors: A developing country's perspective

The electric power sector is the driving force behind a country's economy and disruptions in its services have dire consequences. The purpose of this study is to identify the risk mitigation measures that should be incorporated by the electric power sector of Pakistan. These risk mitigation strategies were identified while considering the risks that are Most Probable, Severe, Costly, Difficult to Detect, and Control. This study employed Fuzzy Multi-Criteria Decision-Making (MCDM) techniques for the assessment of risks. The criteria for risk evaluation were gauged through Fuzzy Full Consistency Method (FUCOM) and Fuzzy VIKOR approach was used for ranking these risks. Moreover, the risk mitigation strategies were evaluated using the Fuzzy Quality Function Deployment (QFD) method, considering the previously prioritized risks. The analysis ranked Corruption, Circular Debts, Outdated Infrastructure, Energy Losses, and Lack of Research and Development as the most critical risks. For risk mitigation measures, Incorporation of the Internet of Things (IoT), Building an Investor-Friendly Environment, Improved Coordination between Organisations, and Maximizing the Energy Efficiency Potential gained preference, among other measures. The study proposed a novel framework for risk assessment and evaluation of risk mitigation strategies. Moreover, it fills a research gap in its application by focusing on the electric power sector of Pakistan, a developing country.

Regional Leading Industry Selection Based on an Extended Fuzzy VIKOR Approach

To improve the deployment and optimization of the industrial structure, researchers and practitioners have performed a variety of researches in terms of regional leading industry selection based on AO Hirschman, Rostow and Miyohei’s principles. The criteria and methods employed in previous studies are mainly based on the mass industrial development data, leading to the limitation of study on the application in new high-tech district and underdeveloped regions. Due to lack of industrial data and detail industry information, it is difficult to employ the deterministic regional industry selection model. Therefore, an extended fuzzy-VIKOR approach that the expert-based and trapezoidal fuzzy number decision-making techniques, embedded into the VIKOR steps is proposed. It is developed to solve the regional leading industry selection problems concerning industrial, economic, social and environmental dimensions. Finally, a case study for the industrial planning of a high-tech zone is applied to verify the proposed decision-making approach.

The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches

The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches

Designing a Model for Evaluating Iranian University Websites: Using Fuzzy VIKOR Approach

Designing a Model for Evaluating Iranian University Websites: Using Fuzzy VIKOR Approach

Application of interval-valued Pythagorean fuzzy VIKOR approach for petroleum sludge treatment technology evaluation and selection.

Petroleum sludge is produced during oilfield development and production and can negatively impact the production area and surrounding environment. With increasing attention to the environmental protection of oilfields, finding an energy-efficient, environmentally sound, cost-effective and socially acceptable sludge treatment method is crucial to the sustainable development of oil companies. However, there are several problems in the selection process: ① there is no effective index system for the evaluation of treatment technologies; ② there is data uncertainty and loss of information; ③ experts in the field often make one-sided decisions; and ④ the common decision models fail to balance the general effect and local dominance of a treatment technology. This study is innovative in the following aspects: ① a decision index system of petroleum sludge treatment technology is established; ② the interval-valued Pythagorean fuzzy set effectively managed data uncertainty and loss of information; ③ the redundancy-based expert weighting method is used to avoid one-sided decisions; and ④ using the basic ideas of the VIKOR model to balance the general effect and local dominance of a technology. Example verification proved the effectiveness of this method and a sensitivity analysis showed the results were reliable. Finally, this study compared the results obtained by three other similar methods, and comparative analysis demonstrated that this approach effectively evaluated and selected petroleum sludge treatment technologies. This study improves the rationality of petroleum sludge treatment technology selection and provides a necessary reference for the selection of treatment technology for other petroleum pollutants.