Fuzzy WASPAS Research Articles

Green Supplier Selection Using Fuzzy AHP, Fuzzy TOSIS, and Fuzzy WASPAS: A Case Study of the Moroccan Automotive Industry

The green supplier selection presents numerous challenges, from initial assessment to final selection, which specialists in this field of supplier management often encounter. Among the techniques that aim to meet these challenges that are continually progressing is the creation and development of high-quality decision-making tools. In this study, the assessment of suppliers hinges on both traditional and environmental factors. A framework of multi-criteria decision-making (MCDM) is announced in order to appraise green supplier selection. This framework integrates Fuzzy Analytical Hierarchy Process (AHP) combined with two additional methods: WASPAS (“Weighted Aggregated Sum-Product Assessment”) and TOPSIS (“Technique for Order Preference by Similarity to Ideal Solution”). At the outset, there were five environmental criteria for green supplier selection: “Health and Safety”, “Sustainable Product Design”, “ISO 14001 Certification”, “Investment Recovery”, and “Green Packaging”, along with three conventional criteria including quality, price, and delivery, were pinpointed through a review of literature and expert input to facilitate the MCDM approach. As part of demonstrating the pertinency of the recommended framework, a practical case study of the automotive industry in Morocco is discussed. The results demonstrate that the utilized Fuzzy hybrid methods yield consistent rankings for green suppliers. Additionally, among the four green suppliers, number three obtained the best ranking, which indicates the robustness and performance of the chosen models. Furthermore, this study offers a unified platform for selecting green suppliers under a Fuzzy environment. Therefore, the chosen strategy and its analysis provide relevant data and information to decision-makers for the choice and selection of suppliers. It can also provide and help procurement departments and decision-makers to choose and select the efficient ecological supplier in the global market supply chain.

Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach

Using the Internet of Things (IoT) and its integration into Renewable Energy Systems (RES) leads to energy planning, management of energy consumption and demand, and, as a result, sustainably matches energy supply and demand. There are several risks in implementing and integrating IoT in RES, which is an obstacle to successfully implementing these systems. Therefore, this research aims to assess the risks of implementing IoT in RES based on the hybrid Multi-Criteria Decision-Making (MCDM) approach under uncertain conditions in Iran. In this study, to specify the importance of criteria, the Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA) method is utilized, and to assess the risks of IoT integration in RES, the usage of the Fuzzy Combined Compromise Solution (F-CoCoSo) method is suggested. The following examines the sensitivity analysis and validation with fuzzy WASPAS, fuzzy ARAS, and fuzzy TOPSIS techniques. The findings showed that the proposed approach had adequate robustness and flexibility for risk assessment, and risks of investment, infrastructure development, and privacy and security were introduced as the most critical risks.

Selection of ergonomic risk assessment method with pythagorean fuzzy sets: practice in emergency medical services

It is difficult to evaluate ergonomic risk factors in occupations with unpredictable tasks, random demands, and variable settings such as emergency medical services (EMS). This study deals with the problem of selecting an ergonomic risk-evaluation method with Pythagorean Fuzzy Sets (PFSs) based Pythagorean Fuzzy AHP (PF-AHP) and Pythagorean Fuzzy WASPAS (PF-WASPAS) methodology. The method selection criteria were obtained by consulting five different anonymous experts on the candidate criteria obtained from the literature review. The final four main criteria and ten sub-criteria were then decided. After the determination of the decision criteria, five experts were asked to evaluate the criteria and to express their opinions on criteria-alternative scoring by means of a questionnaire for method selection. A two-step method is suggested for the selection of the ergonomic risk-evaluation method. In the first step, PF-AHP is utilized in order to identify the weight of criteria used in the method selection. In the second step, the PF-WASPAS method is proposed in order to OWAS, RULA, and REBA methods. The accuracy and validity of the suggested hybrid model is tested with real data in İstanbul Ambulance Service stations. A sensitivity analysis is carried out to test the reliability of the model. Moreover a comparative analysis is carried out with AHP and Fuzzy AHP methods to identify criteria weights. Study results show that REBA is the most appropriate ergonomic risk-evaluation method in EMS.

Evaluating Environmental, Social, and Governance Criteria and Green Finance Investment Strategies Using Fuzzy AHP and Fuzzy WASPAS

The evaluation and prioritization of environmental, social, and governance (ESG) factors are critical for green finance investment strategies. However, ESG criteria are complex and varied concepts that call for a systematic and reliable ranking system to handle ambiguity and uncertainty in decision-makers’ preferences and assessments. The objective of this study was to examine and prioritize environmental, social, and governance (ESG) factors and investment strategies for the development of green finance. Although ESG criteria have gained importance recently, some research gaps still need to be filled. For this purpose, evaluating ESG criteria and integrating them with green finance investment strategies is imperative. This study employed the fuzzy analytical hierarchy process (AHP) method to assess and rank ESG criteria and sub-criteria and the fuzzy weighted aggregated sum product assessment (WASPAS) method to assess and prioritize the key investment strategies for the development of green finance. According to the fuzzy AHP findings, governance and social factors are secondary to environmental considerations in the creation of green finance. Green bonds, ESG integration, and renewable energy funds are essential to green finance methods, according to the fuzzy WASPAS data. This research provides information on creating sustainable and ethical investment strategies for green finance and successfully including ESG factors in investment decision-making processes.

Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method

With the high impetus in global digitization, online shopping (OS) is anticipated to increase further in the near future. Contrary to this anticipation, however, recent studies have emphasized a certain amount of drop in a considerable number of online purchasing transactions in 2022. One of the reasons might be customer dissatisfaction. To analyze online customer reviews, manual sentiment analysis was conducted to detect which quality criteria cause the dissatisfaction of online shoppers. The quality parameters are categorized into product, delivery service, and aftersales service quality (SQ). These main quality criteria are then divided into sub-factors. Eight health category products, including personal care products, wellness products, and household cleaners, were ranked to the importance of the sub-quality parameters using the multi-criteria decision-making (MCDM) method. In this study, a new hybrid MCDM method was also proposed, which combines the triangular fuzzy logarithm methodology of additive weights (F-LMAW) and the Fermatean fuzzy weighted aggregated sum product assessment method (FF-WASPAS). The study reveals that the most important criteria were products’ performance, as well as their side effects, pay-back, and change possibility, while the products’ reasonable price was the least important criterion. Aftersales service was more significant than delivery service. Furthermore, moisturizing creams and medical pillows were the most popular products bought in OS compared with hair conditioners and washing liquids. The study’s multifold contributions and managerial implications were elaborately discussed.

COMPARATIVE ANALYSIS OF DECISION SUPPORT SYSTEMS USING THE FUZZY TAHANI AND WASPAS METHODS IN SELECTING TOURISM PLACES TO VISIT IN MAKASSAR

The selection of tourist attractions to be visited, especially the Makassar area requires several reasons, to make a decision which area to visit, several things need to be considered, besides that a Decision Support System is needed to give the best results. The system used is not just one in order to provide more accurate results. Analysis of the Decision Support System to choose the best tourist attractions in Makassar uses two methods, namely: the FUZZY Tahani Method and the WASPAS Method. The results of the analysis provide the best method using the same criteria, then the selection of tourist attractions to be visited in Makassar City. Based on the analysis between the The FUZZY Tahani Method and the WASPAS Method in selecting tourist attractions to be visited in Makassar City, in this case the use of the FUZZY Tahani Method is more appropriate. The object of his research is the decision support system for selection of tourist attractions to be visited. The results of his research showed that in The selection of tourist attractions to be visited using the FUZZY Tahani and WASPAS methods the same results were obtained for the best ranking, A7, but there were differences in the results for the next ranking.

Evaluation of Open and Distance Education Websites: A Hybrid Multi-Criteria Decision-Making Approach

Higher education institutions and organizations have new opportunities thanks to digital technologies. Universities worldwide seek to provide the most outstanding available student services, particularly those that promote student achievements in their program objectives. The World Wide Web, in particular, has advanced Internet-based information technology, dramatically impacting all types of education delivery. Therefore, it has rapidly expanded the Open and Distance Education (ODE) system. This study aims to evaluate the performance of the higher institutions’ ODE websites within 5 main criteria (Navigation, Accessibility, Design, Content Readability, and Announcements) and 20 sub-criteria. The case study has taken place in Türkiye, and the institutions available for the study were Anadolu University ODE; Ankara University ODE; Ataturk University ODE; Istanbul University ODE. This paper utilized two Multi-criteria Decision Making (MCDM) techniques: Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (Fuzzy WASPAS). The criteria were determined with the help of the literature, which was searched, then categorized and weighted with Fuzzy AHP. The evaluation step in the process was conducted with Fuzzy WASPAS to select the best-performed alternative ODE websites. According to research findings, Design is the essential criterion, followed by Accessibility, Content Readability, Announcement, and Navigation criteria. Our research identified and recommended the development areas for further research and proposed theoretical and practical implications as well as managerial decisions to be considered for the ODE website improvements.

Fuzzy-based multicriteria analysis of the driving factors and solution strategies for green infrastructure development in China

Global efforts are underway to mitigate and adapt to the adverse impacts of climate change. Green infrastructure development (GID) has been a centre of attention for the policymakers, experts, and the governments as an indispensable development. Similarly, The Chinese government has also put forth serious policy initiatives to promote GID in the economy. However, there is immense potential to turn traditional infrastructure into green infrastructure. For this objective to achieve, the identification, analysis, and prioritization of driving factors and strategies for GID is imperious. The present study serves this purpose by identifying 10 driving factors, 38 sub-factors, and 5 alternative solution strategies to GID in China. The study uses a fuzzy-based multi-criteria decision support framework for the analysis. The Fuzzy AHP analysis revealed global drive to GID, environmental benefitting factors, and economic benefits as leading driving factors of GID.. The evaluation and prioritization of alternative solution strategies for GID through Fuzzy WASPAS concludes the strategy of green infrastructure (GI) in urban areas as the best strategy to develop GI. The study provides a comprehensive and more in-depth understanding of GID in China. The findings of the study would support the policymakers, managers, and governments to stimulate the GID process.

Combining life cycle sustainability assessment and fuzzy multicriteria decision making method for prioritizing the flare technologies in the oil, gas, and chemical plants

AbstractLife cycle sustainability assessment (LCSA) of flare technologies can assist the stakeholders/decision‐makers to choose the most sustainable flare technology in life cycle outlook among multiple options. This article purposes in developing a framework of life cycle sustainability decision‐support for prioritizing the flare technologies by integrating the LCSA concepts and fuzzy multicriteria decision making (MCDM) method. A novel fuzzy MCDM (FMCDM) technique that can handle linguistic variables in the decision‐making matrix was progressed by integrating SWARA–WASPAS approach and fuzzy evaluation (fuzzy SWARA–fuzzy WASPAS). Using fuzzy SWARA is obtained the weights of the metrics for LCSA and then, fuzzy WASPAS is employed to prioritize the alternatives with considering the metrics. Finally, the findings of fuzzy SWARA show the “Production cost,” having the topmost weight with value of 0.5094, is the foremost metric that overshadows the choice of suitable and sustainable flare technology. The results obtained from the fuzzy WASPAS suggest that “Steam‐assisted flare,” is the highest prioritized and thus, the most significant alternative to employ flare technology in oil, gas, and chemical plants. The results indicate that combining LCSA and MCDM can effectively rank industrial systems and equipment under data uncertainties.

Utilization of Intuitive Fuzzy WASPAS Method with Interval Values to Evaluation of Reverse Logistics Implementation Actions in the LARG Supply Chain

توجه به مسائل زیست‌محیطی منجر به استفاده از لجستیک معکوس در زنجیره تأمین شده است؛ اما اجرای لجستیک معکوس به‌­دلیل نوع مدل‌های مدیریت موجودی دارای عملکرد ضعیفی است؛ ازاین‌رو در این پژوهش به‌منظور بهبود عملکرد زنجیره تأمین از پارادایم‌های ناب، چابک، تاب‌آوری و سبز (لارج) استفاده می‌شود. هدف این پژوهش شناسایی و اولویت‌بندی راهکارهای اجرای لجستیک معکوس در زنجیره تأمین لارج به‌منظور بهبود عملکرد زنجیره تأمین است. در پژوهش حاضر از رویکرد خبره­‌محور فازی شهودی با مقادیر بازه‌ای استفاده شده است. از مجموعه‌های فازی شهودی بازه‌ای برای وزن‌­دهی و از روش واسپاس فازی شهودی بازه‌ای برای اولویت‌بندی راهکارها بهره‌گیری شد. با توجه به نتایج، راهکار نخست (ایجاد، توسعه و سرمایه‌گذاری در فن‌آوری لجستیک معکوس)، راهکار دهم (توسعه زنجیره تأمین حلقه‌­بسته از طریق یکپارچه‌سازی با لجستیک معکوس) و راهکار نهم (ساخت همکاری الکترونیکی برای هماهنگی سریع و مؤثر در میان اعضای زنجیره تأمین) به­‌ترتیب به‌عنوان راهکارهای برتر در این مورد مطالعاتی معرفی شدند. توسعه و سرمایه‌گذاری در فناوری‌های لجستیک معکوس، یکپارچه‌سازی و همکاری الکترونیکی و بهبود هماهنگی به‌منظور بهبود عملکرد اجرای لجستیک معکوس در زنجیره تأمین ضروری است.

Providing a framework for selecting the appropriate method of technology acquisition considering uncertainty in hierarchical group decision-making: Case Study: Interactive television technology

The technology changes and developments in the world are very rapid and has led many countries and organizations to try to keep up with them through acquisition of technology. Choosing the right method as one of the steps in the technology transfer (TT) process has a significant impact on the successful implementation of technology acquisition (TA). The purpose of this study is to select the most appropriate method of acquiring interactive TV technology for MTN Irancell Telecommunication Company using a combined model of multi-criteria decision-making (MCDM) methods. Therefore, in this research, in the first stage of structuring, the list of criteria and alternatives was determined based on a literature review. Then, in the assessment phase, the fuzzy Delphi technique was used to finalize the list of criteria and alternatives, and then an improved fuzzy group hierarchical best-worst method (fuzzy G-HBWM) was used to determine the criteria weights and evaluate the alternatives by an expert group to form a decision matrix. Finally, in the ranking stage, the alternatives were ranked using fuzzy multi-attribute decision-making (F-MADM) methods including ARAS-F, fuzzy TOPSIS, fuzzy WASPAS, fuzzy VIKOR, fuzzy MABAC, and fuzzy SAW. Then, the Integer Linear Program (ILP) model was used to aggregate the ranking. Based on the results, the main criteria in order of importance are: technology factors, environmental and market factors, organizational factors, and partner or vendor factors. Also, the most important sub-criteria can be considered, respectively, as: the innovative rate in the industry, the degree of strategic importance of technology, the need for access to technology, and the ability to share assets. The final ranking results showed that turnkey contracts, stock ownership, and outsourcing are the top three alternatives in order of priority.

Comparison of Fuzzy TOPSIS, Fuzzy VIKOR, Fuzzy WASPAS and Fuzzy MMOORA methods in the housing selection problem

Decision-making problems in an uncertain environment can be solved using fuzzy multi-criteria decision-making methods. One such problem is the problem of housing selection, where it is challenging to determine data explicitly. Many people struggle with the difficulty of determining what conditions they would like to live in. It is hard for them to determine their housing preferences based only on data from the offers. Numerical values do not clearly define many parameters. Both apartment buyers and realtors use values such as much or little, precisely represented by fuzzy numbers.This paper proposes a solution to the housing selection problem using fuzzy MCDA techniques such as Fuzzy MMOORA, Fuzzy WASPAS, Fuzzy TOPSIS and Fuzzy VIKOR. Then the obtained ranking of alternatives was compared using ranking similarity coefficients such as weighted Spearman coefficient and WS ranking similarity coefficient. The proposed approaches produce similar results, indicating that the decision models reflect preferences well. At the end of the paper, conclusions and further research directions are presented.

An Integrated Spherical Fuzzy Approach for Global Supplier Selection

Political-economic liberalisation, modern communication technologies, and low-cost transportation have prompted companies to outsource an increasing amount of commercial activities to other countries. This exporting has often resulted in complex supply chain configurations. Considering that human and ecological regulation in these countries is often insufficient or poorly enforced, stakeholders place the responsibility of ensuring socially and environmentally sustainable product specifications across their supply chains on firms with a particular emphasis. This research presents a combined fuzzy spherical AHP-WASPAS method basis for environmental global procurement planning that takes subsupplier sustainability considerations into account. From the present study, standards (containing risk considerations) were devised and then improved with the assistance of experts in the field and case decision-makers in order to avoid literature bias. Next, providers and semi were evaluated collectively using the agreed sustainability criteria. In previous studies, this methodology proved unsatisfactory. The problem is rectified in two stages, as shown below. In the first phase, fuzzy AHP is used to define parameter weights for inclusive sustainable supplier evaluation, so in the second phase, fuzzy WASPAS is employed to assess supplier performance in relation to evaluation criteria. Economic factors held the highest weight among some of the five ecological sustainability (financial, health, environment, and social), whereas worldwide risk assessments carried the least. This research suggests that global threats are not yet important selection factors for suppliers. Moreover, the proposed framework may help pave the way for the creation of managerial decision-making tools to aid firms in tackling sustainability risks that occur farther downstream in their supply chains. When major organisations are under intense scrutiny from their stakeholders, these vital tools are extremely important.

Path Selection using Fuzzy Weight Aggregated Sum Product Assessment

The search for safe evacuation routes is an important issue to save flood victims so they can reach the evacuation centre. This research is a simulation of searching for safe and fast travel evacuation route that have 24 alternative routes. Every road that will be transverse has a limit with certain criteria. Calculate of the weight of the constraints using the Multi-Criteria Decision Making (MCDM) method, namely the Analytical Hierarchy Process (AHP) andWeight Aggregated Sum Product Assessment (WASPAS) based on Fuzzy logic. The criteria of obstacle that qualitative for obscurity so that it makes sense fuzzy will provide supportive input for the MCDM problem. The Fuzzy AHP method is applied to calculate the weight of an application while the Fuzzy WASPAS (WASPAS-F)method is used to determine the safest alternative route. By using the Fuzzy AHP and WASPAS-F methods, a safe and fast pathway weights 0.662

Fuzzy Applications of FUCOM Method in Manufacturing Environment

Conventional manufacturing methods are limited in the machining of newly developed high strength, precision / brittle and complex shaped parts. Non-conventional manufacturing methods are required to machine such parts. Choosing the most suitable manufacturing method for the part is a vital decision-making problem and the solution of this problem is very important for today's manufacturers. In this study, three different Full Consistency Method (FUCOM) methods were combined with fuzzy Technique for Order Preference by Similarity to Ideal Solution method (fuzzy TOPSIS) and fuzzy weighted aggregated sum product assessment (fuzzy WASPAS) techniques. In order to test these developed methods, the selection of non-traditional manufacturing methods from the literature was taken as a case study. It is seen that the model produced successful results.

Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem

Fuzzy multi-criteria decision-making (MCDM) methods are useful and reliable for multi-criteria selection problems under uncertain and imprecise situations. In these methods, if decision-makers hesitate among several linguistic terms, hesitant fuzzy linguistic term sets (HFLTSs), represented by a set of successive linguistic terms instead of single linguistic terms, may be more appropriate to make evaluations. The notion of a fuzzy envelope for the HFLTSs is a beneficial tool that can be directly applied to fuzzy MCDM methods to elicit comparative linguistic expressions (CLEs). The aim of this study is to present a methodology that combines the fuzzy CODAS (COmbinative Distance-based Assessment) method with the fuzzy envelope of HFLTs based on CLEs to solve a personnel selection problem. In order to examine the feasibility of the presented methodology, a case study on blue-collar personnel selection in a manufacturing firm is conducted. A sensitivity analysis is performed to demonstrate the stability and validity of the ranking results. Furthermore, the ranking results of the presented methodology are compared with various fuzzy MCDM methods, including fuzzy EDAS, fuzzy TOPSIS, fuzzy WASPAS, fuzzy ARAS, and fuzzy COPRAS. The results show that the presented methodology is efficient and stable for solving personnel selection problems in a hesitant fuzzy environment.

A Fuzzy WASPAS-Based Approach to Determine Critical Information Infrastructures of EU Sustainable Development

Critical information infrastructure exists in different sectors of each country. Its loss or sustainability violation will lead to a negative impact on the supply of essential services, as well as on the social or economic well-being of the population. It also may even pose a threat to people’s health and lives. In the modern world, such infrastructure is more vulnerable and unstable than ever, due to rapid technological changes, and the emergence of a new type of threat—information threats. It is necessary to determine which infrastructure are of crucial importance when decision-makers aim to achieve the reliability of essential infrastructure. This article aims to solve the problem of ensuring the sustainable development of EU countries in terms of identifying critical information infrastructures. Integrated multi-criteria decision-making techniques based on fuzzy WASPAS and AHP methods are used to identify essential information infrastructures, which are related to a new type of potential threat to national security. The paper proposes a model for identifying critical information infrastructures, taking into account the sustainable development of countries.

Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Given a multicriteria decision-making problem, an obvious question emerges: Which method should be used to solve it? Although some efforts had been made, the question remains open. The aim of this contribution is to compare a set of multicriteria decision-making methods sharing three features: same fuzzy information as input data, the need of a data normalization procedure, and quite similar information processing. We analyze the rankings produced by fuzzy MULTIMOORA, fuzzy TOPSIS (with two normalizations), fuzzy VIKOR, and fuzzy WASPAS with different parameterizations, over 1200 randomly generated decision problems. The results clearly show their similarities and differences, the impact of the parameters settings, and how the methods can be clustered, thus providing some guidelines for their selection and usage.