Fuzzy Multi-criteria Decision Research Articles

Sustainable energy transition in Southeast Asia: Energy status analysis, comprehensive evaluation and influential factor identification

Southeast Asia, one of the world's most vibrant economies, faces significant challenges in enhancing energy security and mitigating carbon emissions. This study provides a holistic view of the energy security status in Southeast Asia by presenting energy facts from six aspects and identify the critical factors affecting sustainable energy transition in this region with the techniques of political, economic, social, technological, environmental, and legal (PESTEL) Analysis and fuzzy Multi Criteria Decision Making (MCDM) methods. It indicates that: (1) Southeast Asia performs well in enhancing energy supply but awkwardly in sustainable energy transition, and great divergence exists among different countries; (2) The economic aspect is the most important in sustainable energy transition, followed by the technological, environmental and political aspects; (3) Important factors influencing sustainable energy transition in Southeast Asia include political instability, backward economy, uncertain social acceptance, insufficient energy infrastructure, restrictions of geographical conditions, and limited government efforts.

Application of fuzzy group decision-making selecting green supplier: a case study of the manufacture of natural laurel soap

The selection of suppliers alone is one of the most important competitive challenges facing organizations today. With today's increasing awareness and facing many significant environmental pressures, the process of selecting the right suppliers for green supply chain management is even more difficult for decision-makers. The process of developing and implementing decision-making tools seek to face these challenges is rapidly evolving, especially in a fuzzy environment whose data are incomplete. The purpose of this article is to investigate prospective green chain suppliers for a laurel soap producing company based on a framework using MCDA fuzzy technologies such as Fuzzy GRA, Fuzzy TOPSIS, and Fuzzy VIKOR. During this paper, a discussion of fuzzy set was discussed with Fuzzy MCDM. Within a realistic case study, where a comparison was made between the tools, and it was noted that the results were consistent between the two tools Fuzzy TOPSIS and Fuzzy GRA, and the arrival of similar results and a slight difference with results was observed in Fuzzy VIKOR interpreted. The most detailed analyses were conducted on distance measurements, linguistic variables, assembly functions, and confusion processing. This study introduces the Fuzzy MCDM method to help researchers choose a more effective approach for green supplier selection and the conclusions and other study directions are offered toward the conclusion of the paper.

A Multimoora-based MCDM model under picture fuzzy environment for converting municipal solid waste to energy in Himalayan Region: A sustainable technology assessment

Municipal solid waste (MSW) has long been regarded as a reliable and efficient source of waste-to-energy conversion. However, the conversion approach has many drawbacks that limit its application. This paper explores MSW to energy innovations as a potential solution to understand better MSW's potential applications in energy generation, existing technologies, technological feasibility, and environmental effect. The study used a Multimoora-based MCDM model to convert MSW to energy in a picture-fuzzy environment to build more effective technology for future generations. The incineration, pyrolysis, gasification, and bio-methanation conversion technologies, were explored and assessed based on various physical and chemical criteria like energy efficiency, capacity, useful side product, environmental effect, waste material, cost aspect, temperature and the system's long-term utilization from MSW to energy. A comparative analysis was done to verify the superiority of the proposed MCDM model with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) model. According to the suggested Picture fuzzy MCDM model, the weight attributions for all seven criteria that determine the technique's output are waste material (0.1602) > temperature (0.1503) > useful side product (0.1456) > environmental effect (0.1370) = capacity (0.1370) > cost aspect (0.1360) > energy efficiency (0.1340). Each technique underwent evaluation and comparison, then ranked according to the proposed MCDM model from most to least preferred. The results of both picture fuzzy Multimoora-based MCDM and TOPSIS models showed that, although other technologies are also effective, as having a high output, the Bio-methanation technology is highly effective in converting MSW to energy with the least environmental damage.

Picture Fuzzy Interactional Bonferroni Mean Operators via Strict Triangular Norms and Applications to Multicriteria Decision Making

Based on the closed operational laws in picture fuzzy numbers and strict triangular norms, we extend the Bonferroni mean (BM) operator under the picture fuzzy environment to propose the picture fuzzy interactional Bonferroni mean (PFIBM), picture fuzzy interactional weighted Bonferroni mean (PFIWBM), and picture fuzzy interactional normalized weighted Bonferroni mean (PFINWBM) operators. We prove the monotonicity, idempotency, boundedness, and commutativity for the PFIBM and PFINWBM operators. We also establish a novel multi-criteria decision making (MCDM) method under the picture fuzzy environment by applying the PFINWBM operator. Furthermore, we apply our MCDM method to the enterprise resource planning (ERP) systems selection. The comparative results for our MCDM method induced by six classes of well-known triangular norms ensure that the best selection is always the same ERP system. Therefore, our MCDM method is effective for dealing with the picture fuzzy MCDM problems.

Design of sustainable campus modal in Istanbul Gelisim University using fuzzy multicriteria decision making methods1

This study aims to investigate the sustainable campus criteria, the variations made or require to be done to become an ecologically sustainable campus. In this context, the major goal of the research is assessing the sustainable campus design principles and indicators, setting the targets and deciding the precedencies with the Fuzzy Multi-Criteria Decision-Making methods (MCDM) for the sustainable campus design at Istanbul Gelisim University. In this study, model-based methods have been used to evaluate the sustainable campus performance of universities. In this respect, the study differs from other studies in the literature. Another difference of this study is that three different Fuzzy Multi-Criteria Decision-Making methods has been used, these methods are Fuzzy-AHP, Fuzzy-TOPSIS and Fuzzy-ELECTRE. All three have different inference mechanisms. A common solution has been obtained by using the results of these three different Fuzzy-MCDM methods as hybrid dominance and superiority criteria. Here, the Copeland method, which takes the superiority criterion as a reference, has been used in the options where we could not provide the dominance criterion. At the end of this study, a recommendation report has been prepared according to these results.

An improved Interval-valued intuitionistic fuzzy MCGDM for the evaluation of agricultural products live-streaming e-commerce platform

A crucial step for agricultural product merchants to achieve profitable and sustainable development in the live-streaming e-commerce age is evaluating the risk of the agricultural products live-streaming e-commerce platform. However, there isn’t much reliable research available right now on the risk evaluation of platforms. Therefore, this study suggests an improved risk evaluation method based on interval-valued intuitionistic fuzzy multi-criteria group decision-making (MCGDM). This method determines the decision-maker weight for the risk criterion according to the levels of professionalism of the decision-makers in the risk criterion and uses the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to rate the risk of the alternative agricultural products live-streaming e-commerce platforms. The viability and dependability of the approach described in this work are demonstrated using a case study. The strengths and weaknesses of this approach are illustrated by a comparative analysis. With the help of this paper, agricultural product merchants will be able to identify the live-streaming e-commerce platform that carries the least amount of overall risk and work toward the paper’s stated objectives of sustainable development in addition to developing and enhancing theoretical research findings in the field.

Understanding the exchange process between ground and surface water using mini drive point piezometer and mathematical models to identify suitable managed aquifer recharge sites.

In the current study, subsurface characteristics within the complex formation of the Shilabati basin system of West Bengal, India, extending over an area of 3888 km2, have been estimated using a cost-effective piezometer and MIKE FEFLOW package based on a steady-state numerical model. Pore size and fine particle content of streambeds are affected by two opposing flow contraptions. Such opposite flow conditions are likely to affect the hydraulic conductivity of the streambed. However, analogies of the hydraulic conductivity (Kh) of streambeds for losing and gaining streams have not been well documented in the recent past. The Kh value from the piezometer has been highest at the Dakshin Pairachali site (6.765 m/day), with the stream gaining water from the discharge of the local aquifer. Analysis of the stream-aquifer interaction using the FEFLOW model has allowed us to understand the groundwater water head of the basin ranging from 160.33 to 0.32 m.a.s.l (meters above sea level). The present study also constitutes the first attempt for the identification of suitable sites for the implementation of managed aquifer recharge (MAR) technology in West Bengal, India, to manage extreme drought events. The suitable sites have been identified by means of three fuzzy multi-criteria decision analysis based on nine criteria: river discharge, moisture content, porosity, drainage type, rainfall, land use type, geology, aquifer material, and hydraulic conductivity. To design a radial collector well and infiltration gallery for the selected site in an anisotropic, homogeneous, unconfined, and semi-infinite aquifer near a fully penetrating stream, a pumping test has been conducted to optimize a safe yield of 12.096 MLD (megaliters per day).

Intuitionistic SIR Technique with Double Parameters to Detect the Operative Vaccine of COVID-19

Since 2019, COVID disease threats the world. It originated in China, and due to its easy spread characteristics, it spreads quickly among all the countries. As the world faced a new kind of virus, the government could not control its spread, and the fatality rate had also hugely increased. In 2021, the vaccine for the virus was introduced by various countries, which aids in controlling the spread and mortality rate. The mutant form of this virus exhibits high efficiency. So, this study analyzes the effective of COVID vaccines released after 2020 against all COVID variants through the fuzzy superiority and inferiority ranking (SIR) decision-making method. The vaccines and variants are analyzed by the [Formula: see text] matrix pattern under the fuzzy SIR-integrated weight method. The disease variants are taken as criteria and that are assigned integrated weight based on subjective, objective weight approaches. The intuitionistic fuzzy set-double parameter (IFS-DP) handles the vagueness by strictly including only membership and non-membership functions with the condition [Formula: see text]. As a result, the vaccines Moderna and Covishield are attained top rank and have a high likelihood to combat all the COVID variants compared to other vaccines. The reached outcomes are corroborated through sensitivity and comparative analysis. The sensitivity and comparative studies are measured by increasing the order of IFS-DP and extant fuzzy MCDM methods, respectively. The comparison of these results with those obtained from the proposed method is similar to the sensitivity study, along with minor variations observed in the comparative study. Therefore, the proposed method generates an efficient outcome. Moreover, the testing hypothesis technique is applied to check the efficiency of proposed method.

A Smart Home Architecture for Energy Conservation and Multiple Energy Source Management

Smart home architecture has been widely applied in energy conservation efforts by improving control and monitoring of energy use. Energy conservation efforts can be made by controlling energy consumption and accommodating other energy sources that are environmentally friendly or renewable. Renewable energy sources can now be built quickly and affordably, for example, solar panels. This study aims to build a smart home architecture that prioritizes energy conservation and managing multiple energy sources. The method used in this research is applying the Fuzzy Multi-criteria Decision Making model and Artificial Neural Network embedded in the Single Board Computer and ESP8266 system with the Internet of Things concept. This research results in an intelligent hardware architecture and software system that can be controlled via a smartphone or PC for energy-saving efforts increasing awareness of energy use and managing multiple energy sources that are affordable and easy to implement at home.

A Hybrid Fuzzy MCDM Approach to Open Innovation Partner Evaluation

A Hybrid Fuzzy MCDM Approach to Open Innovation Partner Evaluation

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.

Strategic Management Theories in Startups Assessment: A Multicriteria Fuzzy Decision-making Approach

Evaluating start-up companies is an important management process for technology business incubators and it is also a typical multi-criteria decision‐making (MCDM) problem. Venture capitalists consider a MCDM problem before investing in a new venture, and the order preference of these criteria helps them make effective and efficient decisions. In this paper, we use fuzzy logic with the analytic hierarchy process (FAHP) technique to measure the relative importance of the strategic theory variables in assessment of a startup. The results of the study show that venture capitalist investors consider internal resources to be the most important criteria in evaluation, followed by industry resources and network-based. Entrepreneurs' track record also has a strong significant influence on startup assessment. The suggested tools confirm that it is possible to diversify the risks of an investor through the allocation of resources between several projects, in accordance with the received vector of global priorities, and such information is of high value for the process of decision-making. Therefore, the proposed approach outranks the required strategic inputs and provides a foundation to incorporate other statistical techniques, such as ANP, machine learning, and deep learning, in evaluation and to validate the results for future research.

Application of a fuzzy multi-criteria decision framework for safety-critical maritime infrastructure evaluation

This present paper is an investigation of a framework for Safety-Critical Maritime Infrastructure (SCMI) evaluation. The framework contains three Multi-Criteria Decision-Making (MCDM) tools, namely: fuzzy Step-wise Weight Assessment Ratio Analysis (SWARA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregates Sum Product Assessment (WASPAS). It also contains five safety practice criteria: people's safety, property safety and monitoring capabilities, response to regular and irregular threats in a robust yet flexible manner, and breaches in physical security. The framework has four safety culture criteria: learning from experience and inter-element collaboration, lack of facility maintenance, and anticipating risk events and opportunities. Through the framework, an evaluation of the safety practices and safety culture of six Nigerian seaports is done. Then, data obtained from the ports in regard to their safety practices and culture were analysed in line with the framework identified and adopted. The results revealed that the safety of people's life is the most important safety practice and contributed about 47.90% to evaluate the SCMI. Results equally showed that the most significant safety culture is learning from experience, and accounted for approximately 53.20% in assessing the SCMI. Similarly, the TOPSIS method ranked Warri (A5) and Tin Can Island A1 as the best and worst safety practices performance, respectively. Results of analyses on the TOPSIS showed that Apapa port (A2) and Onne port (A6) had the best and worst performances correspondingly. WASPAS was also analysed. The results indicated that A6 performed the best safety practice performance, while A2 had the worst safety practice performance. Analysis of the WASPAS method was equally done. It showed that A1 had the worst safety culture performance, while A5 had the best safety culture performance. Therefore, the proposed framework could serve as a veritable tool for analysing SCMI by using safety practice and safety culture criteria.

Bakım Stratejisi Seçimi için Bulanık PIPRECIA ve Bulanık MOORA Yöntemlerinin Entegrasyonu

In today’s competitive environment, there is a pressure on companies for reducing costs and increasing the quality by providing on time delivery. Maintenance, plays an important role in reducing cost, improving quality, reducing failures, minimizing machine downtime, increasing productivity and as a result achieving objectives of company. The aim of this paper is to select best maintenance strategy for a manufacturing company by using an integrated fuzzy MCDM (Multi-Criteria Decision Making) approach. This approach is based on fuzzy PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) and fuzzy MOORA (Multi Objective and Optimization on the Basis of Ratio Analysis) methods. The selection of maintenance strategy is a multi-criteria decision making (MCDM) problem. As this problem includes uncertainties and difficulty in evaluating alternatives and criteria with definite expressions, fuzzy MCDM approach is proposed for selecting the best maintenance strategy. As a result of the application of the proposed integrated method in the manufacturing company, the ranking of the maintenance strategies was obtained, and predictive maintenance strategy was determined as the most appropriate maintenance strategy for the company.

Bulanık Çok Kriterli Karar Verme Yöntemleri Kullanılarak Karar Destek Sistemiyle Çalışan Ergonomik Kiosk Cihazı Tasarımı ve Yer Seçimi

Bilgi ve iletişim teknolojilerinin gelişmesiyle birlikte günümüzde bilgilendirmeler için teknolojik altyapılı elektronik cihazlar kullanılmaya başlanmıştır. Bu araştırmada üniversite öğrenci ve ziyaretçilerine hizmet etmek amacıyla karar destek sistemiyle çalışan bir kiosk cihazı tasarlanmıştır. Bu cihazın tasarlanma amacı mevcut yerleşim planının bilinmemesi, ulaşmak istenilen bilgilere ulaşamaması ve yönlendirici levhaların anlaşılamaması gibi problemlerin çözülmesidir. Kiosk cihazının buton yerleşimleri, işleyiş şekli, içerikleri düşünülmüş ve ihtiyaçları karşılayacak şekilde belirlenmiştir. Sistem işleyişi akış şeması üzerinde gösterilmiş, benzer sistemler tasarlanırken kullanılabilecek bir algoritma öne sürülmüştür. Kiosk cihazı tasarlanırken yazılım ergonomisi kriterleri kullanılmıştır. Cihaz maliyetlerini azaltmak ve kullanımı arttırmak için cihaz yer seçimi problemi de araştırmada incelenmiştir. Cihaz yer seçimi için Pisagor bulanık AHP ve TOPSIS yöntemleri kullanılmıştır. Yapılan araştırma birçok sektörde yönlendirmelerin kiosk cihazı aracılığıyla yapılabileceğini öngörmektedir. Mevcut problemin de tasarlanan karar destek sistemiyle çalışan kiosk cihazı ile çözüleceği düşünülmektedir.

GREEN SUPPLIER ASSESSMENT USING A FUZZY MULTI-CRITERIA DECISION-MAKING APPROACH

This study presents a fuzzy multi-criteria decision making (MCDM) approach to support the evaluation of green suppliers. The method utilizes linguistic terms represented by triangular fuzzy numbers to assess the ratings of different green suppliers based on various criteria, as well as to determine the weights assigned to each criterion. The arithmetic of fuzzy numbers is employed to derive a weighted fuzzy decision matrix. In order to simplify and enhance practicality, the weighted ratings are converted into crisp values using the widely-used centroid index ranking approach. The proposed fuzzy MCDM method is then applied to a green supplier assessment problem, showcasing its effectiveness and computational process.
 Keywords: Green Supplier Assessment, MCDM, Fuzzy Numbers, TOPSIS.

Decision Support System for Program Indonesia Pintar Recipients Using the Fuzzy Multi-Criteria Decision-Making Method

Program Indonesia Pintar (PIP) is the development of Bantuan Siswa Miskin (BSM) program, which covers students from the learning stages of SD or MI, SMP or MTs, SMA or Sekolah Menengah Kejuruan (SMK), the PIP Program is a National Program that aims to eliminate barriers to poor students participating in studying by helping poor students get access to appropriate learning services, avoiding dropping out of school, attracting poor students to return to study, helping students fulfill their desires in upgrading activities. Through the Program Indonesia Pintar (PIP), school-age children from poor households or families can continue to study, do not drop out of school. No recipients are on the wrong target for assistance from the Smart Indonesia Program at SMP Negri 39 Pekanbaru City. The method used in the decision support system is Fuzzy Multi-Criteria Decision Making (FMCDM) which assesses alternative determinants so that they can be used in policy analysis in decision-making. The results of this decision support will help decide the best choice of several substitutes based on the selected criteria.

An innovative probabilistic hesitant fuzzy set MCDM perspective for selecting flexible packaging bags after the prohibition on single-use plastics

The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the hesitant fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing their biases while using hesitant fuzzy information. To extrapolate a more accurate interpretation of the decision documentation, it is sufficient to standardize the organization of the elements in PHFEs without introducing fictional elements. Several processes for unifying and arranging components in PHFEs have been proposed so far, but most of them result in various disadvantages that are critically explored in this paper. The primary objective of this research is to recommend a PHFE unification procedure that avoids the deficiencies of operational practices while maintaining the inherent properties of PHFE probabilities. The prevailing study advances the hypothesis of permutation on PHFEs by suggesting a new sort of PHFS division and subtraction compared with the existing unification procedure. Eventually, the proposed PHFE-unification process will be used in this study, an innovative PHFEs based on the Weighted Aggregated Sum Product Assessment Method–Analytic Hierarchy Process (WASPAS–AHP) perspective for selecting flexible packaging bags after the prohibition on single-use plastics. As a result, we have included the PHFEs-WASPAS in our selection of the most effective fuzzy environment for bio-plastic bags. The ranking results for the suggested PHFEs-MCDM techniques surpassed the existing AHP methods in the research study by providing the best solution. Our solutions offer the best bio-plastic bag alternative strategy for mitigating environmental impacts.

Methods of Fuzzy Multi-Criteria Decision Making for Controlling the Operating Modes of the Stabilization Column of the Primary Oil-Refining Unit

Many technological systems are characterized by fuzzy initial information, necessary for the development of their models, optimization and control of operating modes. Therefore, the purpose of this study is to formulate decision making problems for optimizing and controlling operating modes of such systems in a fuzzy environment and to develop methods for solving them. The developed heuristic methods of fuzzy multi-criteria decision making are based on the modification and combination of different principles of optimality. The proposed methods based on system models, knowledge and experience of the decision maker allow iterative improvement and effective decision making. On the basis of experimental–statistical methods, methods of expert evaluation, statistical and fuzzy models of the stabilization column have been developed. The conditions for judging the fuzzy model’s effectiveness are determined and investigated. Using the proposed heuristic method based on the main criterion and maximin, the problem of two-criterion optimization of the stabilization column parameters in a fuzzy environment is solved. The results obtained confirm the advantages of the proposed method of fuzzy decision making in comparison with the results of known methods. The developed heuristic methods differ from known ones because they allow making adequate decisions in a fuzzy environment by maximizing the use of the collected fuzzy information.

Fuzzy Multi-Criteria Decision for Geoinformation System-Based Offshore Wind Farm Positioning in Croatia

Renewable energy is one of the main components of a sustainable world and its future. The consumption of electricity from renewable sources in Croatia has an impressive rate of 53.5%, but offshore wind turbines (OWT) have not yet been installed in the Adriatic Sea. The aim of this study is to determine the possibilities for offshore wind farm (OWF) positioning in the Croatian part of the Adriatic Sea using marine spatial planning (MSP). Initial research to determine the points of interest was conducted based on wind speed. The authors established ten possible points for further research. Subsequently, different parameters were used as inputs for exclusion. The Fuzzy Analytic Hierarchy Process (AHP) method was used to calculate the weighting coefficients for a suitable set of criteria, exactly six of them. Using a combination of geoinformation system (GIS) analysis and weighting coefficients established through Fuzzy AHP, four points were established as suitable for OWF installation in Croatia. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used to select the best order for OWF positioning in the eastern part of the Adriatic Sea. To conclude, there are not many options for OWF positioning in Croatia. Furthermore, it is clear that they exist and should be explored further.