Fuzzy Technique For Order Performance By Similarity To Ideal Solution Method Research Articles

Embracing Sustainability in Green Supplier Evaluation: A Novel Integrated Multi-Criteria Decision-Making Framework

Nowadays, industrial production is a critical issue for companies as public consciousness is rising because of environmental impacts. Like most other industries, the ready-made garment (RMG) industry faces immense pressure to be more competitive in this increasingly competitive market and proactively reduce waste and ecological footprint impacts. Besides, suppliers’ environmental performance and image have far more effect on a corporation’s environmental sustainability than the corporation’s internal environmental efforts. Moreover, there is a shortage of environmental consciousness in emerging economies; thus, green supply chain practices are lagging. Therefore, the green supplier evaluation criteria should be identified and focused on during sustainable procurement. This study analyses quantitative and qualitative factors and explores the relationship between green supplier preference principles using the combination of the Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). Initially, the supplier’s green performance was measured by identifying the criteria from relevant literature. After that, the Fuzzy DEMATEL technique measures the related criteria weights, and the Fuzzy TOPSIS method utilizes these criteria weights to rank suppliers among alternative suppliers. The findings will guide policymakers to improve supplier quality, increase profitability through improved brand recognition, and attract consumers who prioritize environmentally friendly products.

Ranking Strategic Goals with Fuzzy Entropy Weighting and Fuzzy TOPSIS Methods: A Case of the Scientific and Technological Research Council of Türkiye

This study involves an integrated approach consisting of the Fuzzy AEW Method which considers all relevant criteria and involves the contribution of all members of a strategic planning team in the determination of strategic goals as well as the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. The Fuzzy AEW method has been used in weighing the criteria whereas the Fuzzy TOPSIS method has been used in determining the order of the alternatives. This article presents a real-world case using this model in setting targets for improving the institutional capacity of the Scientific and Technological Research Council of Türkiye (TÜBITAK). In this study, strategic goals have been set forth considering the opinion of strategic planning experts and previous strategic plans, and then the said method has been applied. The model could easily be applied both in the public and private sectors. This new model involves the effective planning of scarce resources and ensures digitalization in planning as well as the determination of goals through analytical methods. Ineffective meetings and workshops of the past will be replaced by a participatory and transparent structure.

Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method.

This paper aims to propose an approach to evaluate the quality of online shopping services in times of pandemic COVID-19, from the ordering of quality attributes taking into account customers' perception. The proposed approach was developed from a structured questionnaire containing 25 quality attributes adapted from the E-S-QUAL model and applied to consumers of online shopping services. Fuzzy set theory was used in the approach to simplify the subjectivity of human judgment, along with the extension of Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). Therefore, this research was classified as applied, exploratory, quantitative and survey. To achieve the research objective, 819 questionnaires were collected. Among the main findings, it is highlighted that the attributes "product availability", "products with excellent quality", "confidence in online shopping processes" and "ease of buying online" were the ones that presented the best perceptions of quality by the respondents. At the other end, the attributes "opinion sharing on social networks", "buying online is a good option when you have little time", "distraction in online shopping searches" and "shopping online is a pleasure" showed the highest level of dissatisfaction with the service. Thus, this article highlights the importance of online shopping services in times of the pandemic caused by COVID-19, and its main contribution and originality is the development of an approach that aims to support the decision-making process, establishing strategic actions for the continuous improvement of online shopping services with the reduction of subjectivity in customer perception and with successive refinements.

Selection of Business Process Modeling Tool with the Application of Fuzzy DEMATEL and TOPSIS Method

The business process modeling tool selection problem has a significant impact on the overall performance of enterprise business process modeling, which will directly affect the development of enterprise information systems. Apart from that, the process to select the business process modeling tool from all alternatives is a Multi-Criteria Decision Making (MCDM) problem. This paper develops a methodology based on the hybrid fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method to help companies select the optimal business process modeling tool, where the business process modeling process is more efficient, economic and safe. The proposed method has the following state-of-the-art contributions and features: (1) the latest application of the MCDM methodology to the field of BPM tool selection, (2) addressing the direct and indirect impact between criteria in the selection of BPM tools, and (3) considering the hybrid fuzzy (uncertainty) decision-making issue in the BPM tool selection process. Meanwhile, the mathematical formula in TOPSIS can be regarded as a formula for solving a symmetric problem. The hybrid fuzzy DEMATEL method is used to obtain the weight for the criteria to be considered in the BPM tool selection process, and the TOPSIS method is used to obtain the final business process modeling tool.

Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

This study evaluated a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) as a multicriteria decision making system that compensates for missing information with undefined weight factor criteria. The suggested Fuzzy TOPSIS was applied to ten potential dam sites in three river basins (the Han River, the Geum River, and the Nakdong River basins) in South Korea. To assess potential dam sites, the strategic environment assessment (SEA) monitored four categories: national preservation, endangered species, water quality, and toxic environment. To consider missing information, this study applied the Monte Carlo Simulation method with uniform and normal distributions. The results show that effects of missing information generation with one fuzzy set in GB1 site of the Geum River basin are not great in fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) estimations. However, the combination of two fuzzy sets considering missing information in Gohyun stream (NG) and Hoenggye stream (NH) sites of the Nakdong River basin has a great effect on estimating FPIS, FNIS, and priority ranking in Fuzzy TOPSIS applications. The sites with the highest priority ranking in the Han River, Geum River, and Nakdong River basins based on Fuzzy TOPSIS are the Dal stream 1 (HD1), Bocheong stream 2 (GB2) and NG sites. Among the sites in all river basins, the GB2 site had the highest priority ranking. Consequently, the results coincided with findings of previous studies based on multicriteria decision making with missing information and show the applicability of Fuzzy TOPSIS when evaluating priority rankings in cases with missing information.

Sustainability assessment and decision making of hydrogen production technologies: A novel two-stage multi-criteria decision making method

A novel two-stage multi-criteria decision making (MCDM) method is proposed with the aim to select the most sustainable hydrogen production technology (HPT) by considering the preference information on both attributes and alternatives. In the first stage of the method, the initial sustainability ranking of the alternative HPTs was achieved by using the FBWM (Fuzzy Best-Worst Method) to determine the weights of the criteria and the fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method to prioritize the sustainability of alternative HPTs. While, in the second stage, a novel Preference Ranking Linear Programming Method (PRLPM) was used to acquire the final sustainability ranking according to the alternative preference information by following the principle of the outranking method. The proposed method was illustrated by a case study with 8 HTPs, demonstrating that the developed two-stage MCDM method can reflect the alternative preference of the decision-maker more accurately for selecting the most preferred alternative among various HTPs.

Evaluating the strategies for sustainable energy planning in Pakistan: An integrated SWOT-AHP and Fuzzy-TOPSIS approach

Abstract This study proposes an integrated methodology based on Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, Analytic Hierarchy Process (AHP), and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (F-TOPSIS) to evaluate energy strategies for sustainable energy planning. The SWOT analysis is employed to determine the factors and sub-factors essential for sustainable energy planning. Subsequently, AHP, a Multi-Criteria Decision Making (MCDM) method is used to determine the weights of each factor and sub-factor. Finally, F-TOPSIS method is used to rank the 13 energy strategies under the case study for Pakistan's to achieve sustainable energy planning. The results of the study reveal that providing low-cost and sustainable electricity to residential, commercial, and industrial sectors (WO5) is highly prioritized energy strategy. While the utilization of coal resources and transformations of same into electricity (WO2) is prioritized as least favored energy strategy. The sensitivity analysis of the results validates the robustness of the study. This study, as such, proposes a systematic approach to develop and evaluate energy strategies for the sustainable energy planning and policy endeavor of Pakistan.

Interval type-2 fuzzy TOPSIS method for calibration supplier selection problem: a case study in an automotive company

Product standardization has gained importance with the increase of customer demands and developments of technology. Products must be tested with measurement equipment to ensure quality standards. In quality management, the variability between products is targeted to be minimum. Products are produced at a target value with specific tolerance levels. Measurement equipment are used to confirm that the dimensions be in accordance with the required tolerance levels. The calibration of measurement equipment is crucial for acquiring certain measurements. The calibration process aims to minimize the measurement error by providing the accuracy of measurement equipment. The companies can carry out their calibration processes in the company structure for certain equipment. However, companies may need outsourcing for the calibration of complex equipment. This study includes a model to select the most appropriate calibration supplier by using the interval type-2 fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. The proposed approach is presented with a case study for torque-limiting wrench calibration in an automotive company. In the case study, ten different evaluation criteria were determined from the decision-makers and the literature for the calibration suppliers’ evaluation and selection. Within the scope of these criteria, three alternative suppliers (A, B, and C) were evaluated and supplier C was selected as the most suitable calibration supplier.

Development of a new knowledge-based fabric recommendation system by integrating the collaborative design process and multi-criteria decision support

In this paper, a perception-based fabric recommendation system is proposed to help fashion designers to select the most appropriate fabric in the design process, meeting the perception of the target consumer. The proposed methodology is based on the development of an interactive hierarchical structure, decomposing the decision problem into five levels: goal, criteria (consumers' requirements), sub evaluation criteria (fabric properties), rating scale, and alternatives, which ensures the analysis of requirements of consumers and knowledge sharing among designers. The proposed knowledge-based recommendation system includes a collaborative design process, a commonly used sensory evaluation procedure, and a computational model using the Fuzzy AHP (Analytic Hierarchy Process) and Fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) algorithms. The Fuzzy AHP method is used to structure the fabric selection problem and determine the relevant weights of the concerned criteria and corresponding components, while the Fuzzy TOPSIS method is used to evaluate the alternative fabrics based on the criteria obtained from the AHP process and to give the total final ranking of the involved fabric alternatives. Experimental results indicate that, using the proposed interactive hierarchical structure, professional knowledge of the designers can be fully extracted to ensure a high level of consumer satisfaction.

An integrated fuzzy MCDM approach for risk evaluation of new product in a pipe industry

New Product Development (NPD) process is recognised as one important competitive advantage for most companies which include high risk and uncertainty. Hence, this study aims at accelerating new product introduction and improving the quality of decision-making in NPD process under risks and uncertain conditions. This paper suggests an integrated framework based on the Fuzzy Analytic Hierarchy Process (AHP) and the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), to evaluate new products in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values parameterised by triangular fuzzy numbers. The Fuzzy AHP is implemented to calculate weights of the risk criteria, and the Fuzzy TOPSIS method is applied to obtain a final ranking. Finally, the proposed approach is implemented for NPD evaluation of a pipe and fitting industry. The results reveal the supply risks have the highest effect on risk evaluation of new products.

The selection of appropriate mining method for the Deh Gheybi Granite Quarry Mine using the FTOPSIS method

The selection of mining method for quarry mines is carried out on the basis of some criteria such as economic indicators, technical properties and efficiency. Multi-criteria decision-making techniques are very useful in this process because the selection of suitable method among a set of proposed methods depends on many criteria. In this paper, the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) is used to choose the best mining method from a set consisting of seven alternatives as follows: diamond wire sawing, chain saw machine, expansive agent, diamond wire sawing - chain saw machine, diamond wire sawing - expansive agent, chain saw machine - expansive agent and chain saw machine - expansive agent - diamond wire sawing method. Finally, the alternatives are ranked with respect to 12 defined criteria, leading to opting for the method of diamond wire sawing - chain saw machine, as the most appropriate mining method for the prevailing conditions at the Deh Gheybi Granite Mine.

The selection of appropriate mining method for the Deh Gheybi Granite Quarry Mine using the FTOPSIS method

The selection of mining method for quarry mines is carried out on the basis of some criteria such as economic indicators, technical properties and efficiency. Multi-criteria decision-making techniques are very useful in this process because the selection of suitable method among a set of proposed methods depends on many criteria. In this paper, the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) is used to choose the best mining method from a set consisting of seven alternatives as follows: diamond wire sawing, chain saw machine, expansive agent, diamond wire sawing - chain saw machine, diamond wire sawing - expansive agent, chain saw machine - expansive agent and chain saw machine - expansive agent - diamond wire sawing method. Finally, the alternatives are ranked with respect to 12 defined criteria, leading to opting for the method of diamond wire sawing - chain saw machine, as the most appropriate mining method for the prevailing conditions at the Deh Gheybi Granite Mine.

Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island

One of the main goals of implementation of the Integrated Coastal Zone Management in Iran is to establish sustainable social and economic development in the coastal areas. The main strategy for achieving this goal is by encouraging the economic activities at the coastal areas that are consistent with environmental capacities. Tourist industry has a special place in the national economy, and it plays the most dynamic economic role in sustainable development. A large number of people usually choose this area for recreation as a result of the beautiful landscapes consisting of green forest, hills, rivers and wetland. Therefore, the objective of this study is to determine the optimal tourism sites among various tourism alternatives based on ICZM strategies. This study develops an evaluation model based on the analytic network process (ANP) and the technique for order performance by similarity to ideal solution (TOPSIS), to help the investors in tourism industries, for the selection of the optimal tourism site in the Integrated Coastal Zone Management in a fuzzy environment, where the vagueness and subjectivity are handled with linguistic values parameterized by triangular fuzzy numbers. The ANP is used to analysis the structure of tourism site selection problem and determine the weights of the criteria, while Fuzzy TOPSIS method is utilized to obtain final priorities. A real world application is performed to illustrate the utilization of the model for the tourism site selection problem. Furthermore, for convenience and accuracy in calculating the relative weights of the criteria, Super Decisions software was used. The proposed model adopted in Qeshm Island considers and interprets the effectiveness and feasibility of the model.

Evaluating Tactical Missile Systems by Using Fuzzy AHP and TOPSIS Technique

Evaluating tactical missile systems is a complex system of interacting elements. For example, a good missile system requests good missile performance and minimal cost; the performance and cost depend on improvement of science and technology and economic resources; technology depends on ideas and resources; ideas depend on politics for their acceptance and support; and so on. In such an intricate network of factors, first causes and then final effects cannot be identified easily. These factors directly depend on the expectations of the decision-maker, and on additional complex subfactors, etc. In the complex system, our minds have not yet evolved to the point where we can clearly see these ultimate relationships and readily resolve important issues. Evaluating tactical missile systems is a multi-criteria decision-making (MCDM) problem. This paper presents an evaluation model based on the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values parameterized by triangular fuzzy numbers. The AHP is used to analyze the structure of systems evaluating and to determine weights of the criteria, and fuzzy TOPSIS method is used to obtain final ranking.

Cluster-Based Context-Aware Routing Protocol for Mobile Environments

Mobile environment has many issues due to mobility, energy limitations and status changing over time. Routing method is an important issue and has a significant impact in mobile networks, whereas selecting the optimum routing path will reduce the wasting in network resources, reduce network overhead and increase network reliability and lifetime. To decide which path will achieve the networks objectives, we need to construct a new routing algorithm that uses context attributes of a mobile device such as available bandwidth, residual energy, connection number and mobility value. In this paper, we propose a new mobile nodes ranking scheme based on the combination of two multi-criteria decision making approaches, the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) in Fuzzy environments. The Fuzzy AHP is used to analyze the structure of the clusterhead selection problem and to determine weights of the criteria, while the Fuzzy TOPSIS method is used to obtain the final mobile node ranking value. By basing on node ranking, we propose a new cluster based routing algorithm select the optimal clusterheads and the best routing path. Our simulation results show that the proposed method increases the network accuracy and lifetime and reduces network overhead.

Fuzzy TOPSIS method to primary crusher selection for Golegohar Iron Mine (Iran)

Selection of the crusher required a great deal of design regarding to the mine planning. Selection of suitable primary crusher from all of available primary crushers is a multi-criterion decision making (MCDM) problem. The present work explores the use of technique for order performance by similarity to ideal solution (TOPSIS) with fuzzy set theory to select best primary crusher for Golegohar Iron Mine in Iran. Gyratory, double toggle jaw, single toggle jaw, high speed roll crusher, low speed sizer, impact crusher, hammer mill and feeder breaker crushers have been considered as alternatives. Also, the capacity, feed size, product size, rock compressive strength, abrasion index and application of primary crusher for mobile plants were considered as criteria for solution of this MCDM problem. To determine the order of the alternatives, closeness coefficient is defined by calculating the distances to the fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS). Results of our work based on fuzzy TOPSIS method show that the gyratory is the best primary crusher for the studied mine.

퍼지 TOPSIS&AHP를 이용한 IMO 정보관리시스템 예비과제 우선순위 평가

본 연구는 퍼지 TOPSIS법과 AHP법을 이용하여 IMO 정보관리시스템의 예비과제 우선순위를 평가하기 위한 것이다. 이러한 평가를 위해 먼저 24개의 예비과제를 추출하여 FSM법을 이용하여 대체안을 구조화하였고, 최종 4개의 주요 예비과제를 도출한다. 또한 평가항목간의 가중치는 의사결정자의 일관성을 유지하면서 평가가 가능한 AHP법을 이용한다. 그러나 AHP법은 비교대상의 수가 증가하면 쌍대비교의 횟수가 증가하고, 평가에는 수많은 애매성이 존재하기 때문에 최종 우선순위 선정에는 TOPSIS에 퍼지이론을 도입한 퍼지 TOPSIS법을 이용한다. 그 결과 IMO 기준정보관리, IMO 정보기준전달, IMO 통합데이터베이스, IMO 지식허브 순으로 구축되어야 하는 것으로 나타났다. This paper is aimed to priority evaluation of preliminary cases for IMO -IMS(International Maritime Organization- Information Management System) using fuzzy TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) and AHP(Analytic Hierarchy Process). To this solve, therefore, this paper extract 24 preliminary cases and select 4 major preliminary alternative cases after analysing the structure of its alternative cases using FSM(Fuzzy Structure Modeling). Also, the weights of evaluation factors determine using AHP which able to keep the consistency when decision-makers assess. In AHP method, but, the numbers of paired comparison incerase as much as the numbers of the comparison items increase and because this evaluation have the many of vagueness, the decision of final ranking is used to fuzzy TOPSIS method which is included TOPSIS and Fuzzy Set Theory. The result are developed as order as Management of IMO Convention Information, Delivery of IMO Convention Information, Total IMO Database, Knowledge Hub of IMO Convention Information in IMO-IMS.

A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers

The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of KM adoption in SC and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organization is conducted to illustrate the use of the proposed framework for ranking the solutions of KM adoption in SC to overcome its barriers. This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of KM adoption in SC to increase its success rate.

PERFORMANCE EVALUATION OF SUGAR PLANTS BY FUZZY TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

This study presents the performance evaluation of sugar plants using the technique for order performance by similarity to ideal solution (TOPSIS) under a fuzzy environment. First, the decision criteria used to evaluate the performances are determined, and then the data from financial statements are collected from sugar plants. Accordingly, the ratings of various alternatives under various criteria and the importance weights of various criteria are assessed by evaluators using linguistic terms. The data obtained are converted into a fuzzy triangular number system and then the fuzzy TOPSIS method is applied to make a final decision. According to the closeness coefficients, the sugar plants are ranked from strong to weak. A real case study involving eight evaluation criteria and nine sugar plants assessed by nine evaluators is provided to illustrate the proposed method. The results show that this method is an effective tool for evaluating investment risks based on the heuristic knowledge acquired from experts.

Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods

The problem of Tunnel Boring Machine (TBM) selection has a significant impact on the speed and cost of excavating sector; so that it is a strategic issue. On the other hand, selecting the optimum TBM among a pool of alternatives is a multicriteria decision making (MCDM) problem. In this paper, an evaluation model based on the fuzzy analytic hierarchy process (AHP) and another fuzzy MCDM technique, namely fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is developed to help the tunneling designers in the process of the TBM selection under fuzzy environment where the vagueness and uncertainty are taken into account with linguistic variables parameterized by triangular fuzzy numbers. The fuzzy AHP is applied to form the structure of the TBM selection problem and to determine weights of the evaluation criteria, and fuzzy TOPSIS method is utilized to acquire final ranking. A real world case study is illustrated in order to demonstrate the potential of the proposed model for the TBM selection issue. It demonstrates the effectiveness and capability of the proposed model.