Fuzzy TOPSIS Approach Research Articles

Using fuzzy ahp and fuzzy topsis approaches for assessing safety conditions at worksites in construction industry

Using fuzzy ahp and fuzzy topsis approaches for assessing safety conditions at worksites in construction industry

Analysis of policy scenarios for achieving renewable energy sources targets: A fuzzy TOPSIS approach

The growing need to tackle climate change and mitigate greenhouse gas emissions has led to strong interest in renewable energy sources and the setting of specific renewable energy sources targets in countries and regions within Europe. Recent political discussions have mainly revolved around the question of the most effective and efficient renewable energy sources target and how to achieve it. In this context, European and national policy makers have to address difficult issues: On the one hand, how to support the successful achievement of renewable energy targets in the short and medium term and in a time horizon up to 2030, and, on the other hand, how to share the efforts required among individual entities such as single European Member States or groups of European Member States. This paper presents a multi-criteria approach based on an extension of the Fuzzy Technique for Order Preference by Similarity to Ideal Solution for group decision support in order to evaluate alternative policy scenarios for achieving the 2030 renewable energy target. Different effort-sharing arrangements among Member States are evaluated to determine the optimal burden sharing of the common renewable energy target among countries. The results and conclusions obtained can help to reduce uncertainty in the field of energy and climate policy, and aid policy makers in designing effective policies based on the findings.

Equipment Selection by using Fuzzy TOPSIS Method

In this study, Fuzzy TOPSIS method was performed for the selection of open pit truck and the optimal solution of the problem was investigated. Data from Turkish Coal Enterprises was used in the application of the method. This paper explains the Fuzzy TOPSIS approaches with group decision-making application in an open pit coal mine in Turkey. An algorithm of the multi-person multi-criteria decision making with fuzzy set approach was applied an equipment selection problem. It was found that Fuzzy TOPSIS with a group decision making is a method that may help decision-makers in solving different decision-making problems in mining.

Alunite processing method selection using the AHP and TOPSIS approaches under fuzzy environment

Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical, operational and economic data is available to evaluate methods. In addition, selecting the right approach for alunite beneficiation, requires introducing a wide range of criteria and careful analysis of alternatives. In this research, after studying the existing processes, 13 methods were considered and evaluated by 14 technical, economic and environmental analyzing criteria. Due to multiplicity of processing methods and attributes, in this paper, Multi Attribute Decision Making methods were employed to examine the appropriateness of choices. The Delphi Analytical Hierarchy Process (DAHP) was used for weighting selection criteria and Fuzzy TOPSIS approach was used to determine the most profitable candidates. Among 13 studied methods, Spanish, Svoronos and Hazan methods were respectively recognized to be the best choices.

Linguistic hesitant intuitionistic fuzzy decision-making method based on VIKOR

Linguistic hesitant intuitionistic fuzzy set, which allows an element having several linguistic evaluation values and each linguistic argument having several intuitionistic fuzzy memberships, is a power tool to model uncertain information existing in multiple attribute decision-making problems. In this paper, we propose new methods by using TOPSIS and VIKOR for multiple attribute decision-making problems, in which evaluation values are in the form of linguistic hesitant intuitionistic fuzzy elements. Different situations of attribute weight information are considered. If attribute weights are partly known, a linear programming model is set up based on the idea that reasonable weights should make the relative closeness of each alternative evaluation value to the linguistic hesitant intuitionistic fuzzy positive ideal solution as large as possible. If attribute weights are unknown completely, an optimization model is set up based on the maximum deviation method. A numerical example is presented to illustrate feasibility and practical advantages of the proposed method. We compare the alternatives’ rankings derived from the linguistic hesitant intuitionistic fuzzy TOPSIS method with those derived from the hesitant fuzzy linguistic TOPSIS and the hesitant intuitionistic fuzzy TOPSIS approach to further illustrate their advantages.

Fuzzy multicriteria prioritization of Urban transformation projects for Istanbul

Urban transformation projects are prepared with the purpose to rehabilitate urban areas and/or to mitigate disaster risk. Urban transformation projects should be realized in the cities where urbanization planning is not well-organized in the past and rapid perfunctory urbanization occurs. Selecting the appropriate urban transformation projects and prioritizing them is important in the cities where there are multiple problems such as earthquake risk, flood risk and landslide risk. Prioritization of transformation projects is a multicriteria decision making problem, in which multiple stakeholders have diverse perspectives. The fuzzy set theory enables us to make mathematical operations with the linguistic evaluations in a multicriteria decision making method. In urban transformation problems, especially for subjective criteria, stakeholders usually prefer making linguistic evaluations. When decision makers show hesitancy in their evaluations, hesitant fuzzy linguistic term sets (HFLTS) can be used to integrate various linguistic evaluations without losing any information. Istanbul is the largest metropolitan of Turkey where a probable earthquake is expected in the near future. In this paper, a new linguistic group decision making based hesitant fuzzy TOPSIS approach for evaluating urban transformation projects is proposed and a real world application for Istanbul is provided. Four urban transformation alternatives for Istanbul are prioritized by the proposed method and a sensitivity analysis is conducted.

Comparative evaluation of GSCM practices in automotive components manufacturing firms of India: a fuzzy TOPSIS approach

Managing process of greening the whole supply chain encompasses careful and critical examination of supply chain members, upstream and downstream supply chain members. This paper provides comparative evaluations of GSCM practices in automotive components manufacturing firms of India towards effective green supplier selection by taking a real world problem. GSCM practices were sorted from extensive review of literature and structured questionnaire was formed; and the data was collected from selected firms to evaluate their current GSCM practices adoption. A fuzzy TOPSIS technique has been applied for comparative evaluations of GSCM practices in selected four automotive components manufacturing firms and to rank these selected firms. The influence of preferences provided by decision makers has also been analysed using sensitivity analysis to examine and demonstrate the robustness of the adapted methodology. Our study has implications for SC practitioners/managers to solve MCDM problems related to effective implementation of GSCM practices in firms.

Comparative evaluation of GSCM practices in automotive components manufacturing firms of India: a fuzzy TOPSIS approach

Comparative evaluation of GSCM practices in automotive components manufacturing firms of India: a fuzzy TOPSIS approach

Fuzzy MCDM Approach for Evaluating Intangible Resources Affecting Port Service Quality

Intangible resources consist of soft resources such as knowledge, information and capabilities. It is important for ports to enhance intangible as well as tangible resources to obtain sustainable competitive advantage. In this connection, this study aims to identify port intangible resources which may contribute to the delivery of port service quality and to propose a fuzzy TOPSIS approach to solve the port choice problem focusing on intangible resources. Fuzzy TOPSIS is appropriate to assist decision making with ambiguous and uncertain problems such as port choice with respect to intangible resources. In this paper, five port intangible resources were identified and evaluated and five leading container ports in the Asia-Pacific region were assessed in terms of their intangible resources. A survey questionnaire was sent to 21 experts who are working in shipping companies in Korea and involved in the selection of ports. It was found that customer and relational resource contributes most to the delivery of port service quality while Hong Kong appeared to be the port where intangible resources were most highly evaluated. This research helps to enrich the literature on port service quality and port choice evaluation. Its findings can also be used as guidelines for port managers to prioritise resources that may have greater influence on the delivery of port service quality and the subsequent training and education programs.

Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

Previous studies have proven that enterprises addressing green supply chain management problem may produce an apparent improvement to their stockholder interests. According to the report of Kearney (Carbon Disclosure Project: supply chain report 2010. CDP, London, 2010), more than 80 % of the carbon emissions are generated from the suppliers’ activities in a company’s performance. Many members of the project claimed that they will reassess their suppliers as soon as possible. Therefore, to combine the carbon management issue and supplier evaluating problem turns to be a very crucial work. Therefore, this study intends to develop a framework of the supplier evaluating process for carbon management by integrating fuzzy ANP and fuzzy TOPSIS approaches. Thirteen criteria of carbon management under four dimensions were identified by literature review and modified according to the opinion of seven experts in the environmental department. The model result in a case company shows that three of the most important criteria are “carbon governance,” “carbon policy” and “carbon reduction targets.” The proposed hybrid methodology has great ability to explain the vagueness of decision maker’s expression and better discrimination power to evaluate suppliers in carbon management.

Prioritization of the factors influencing electronic government services application: a fuzzy topsis approach

Prioritization of the factors influencing electronic government services application: a fuzzy topsis approach

A Benchmark Model for Internal Assessment of Industry using Fuzzy Topsis Approach

Internal assessment is one of the most important factor of an industry, needs appropriate improvement planning between the departments with development of Benchmark model among them. The proposed study applies Fuzzy Technique for Order Preference by Similarity to Ideal Solution to rank different alternatives. The preliminary results indicate that the proposed model is capable of determining appropriate competition between departments which are Human Resource, Finance, Production, Quality Assurance. To remove the subjectivity, the linguistic data about the attributes is converted into a crisp score by using fuzzy numbers and then the different alternatives are evaluated based on attributes by TOPSIS approach to find the best alternative according to the industry’s requirement. Thus the endeavor has been made by the authors to give a simple model for the evaluation of internal assessment of an industry.

Rank University Websites Using Fuzzy AHP and Fuzzy TOPSIS Approach on Usability

With the advent of dynamic website usually all business processes of a business organization are linked with the website of the organization. This is resulted in designing of a complex and gigantic website which may result in slow download and unfriendly navigation. Satisfying the end user need is one of the key principles of designing an effective website. As there are different users for given website, hence there are different criteria on which user wants to get satisfied, hence evaluating a website is a multi-criteria decision making problem. In order to incorporate uncertainties and vagueness in decision making Fuzzy Analytic Hierarchy (FAHP) approach is extended with Fuzzy TOPSIS approach, where different decision makers (DM's) opinion was considered for ranking the website.

An internet information search channel evaluation model: the role of internet usage skills and psychological parameters

Multiple criteria decision-making (MCDM) is a branch of research that is designed to identify and understand the process by which individuals manage complex decision-making problems. In recent years it has become a primary area of research in many academic fields. The purpose of this study was to develop an information search channel evaluation model that could effectively analyse user preferences according to their internet usage experience and psychological status as they searched for information on the internet. A hybrid fuzzy multi-criteria group decision (HFMCGD) system was employed to develop the model and measure the role the above parameters played in determining the pre-purchase information channels that individuals preferred. Firstly, a fuzzy AHP was utilised to identify the criteria that influenced consumers to search pre-purchase information on the internet based on factors such as experience using the internet, attitude and happiness. Finally a fuzzy TOPSIS approach was implemented to rank different pre-purchase channels according to user preferences.

Assessment of Patient Safety Management from Human Factors Perspective: A Fuzzy TOPSIS Approach

The quality of patient safety evaluation provides important results for patients, doctors, and managers because it determines hospitals' capabilities to enhance the medical quality and influences the development of nonmedical error. The aim of this study is to propose a fuzzy multicriteria decision model to evaluate the quality of patient safety in hospitals in Taiwan. The staff and committees of 4 hospitals from southern Taiwan were invited, and these hospitals were evaluated based on 5 indicators from the human factors perspective. Fuzzy Technique for Order Performance by Similarity to Ideal Solution TOPSIS methods are examined in the proposed model. The results show that not only the supervisor's commitment but also the hospital's patient safety enhancement capability should be taken into account in a competitive environment.

Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making

Multi-attribute group decision making (MAGDM) is an important research topic in decision theory. In recent decades, many useful methods have been proposed to solve various MAGDM problems, but very few methods simultaneously take them into account from the perspectives of both the ranking and the magnitude of decision data, especially for the interval-valued intuitionistic fuzzy decision data. The purpose of this paper is to develop a soft computing technique based on maximizing consensus and fuzzy TOPSIS in order to solve interval-valued intuitionistic fuzzy MAGDM problems from such two aspects of decision data. To this end, we first define a consensus index from the perspective of the ranking of decision data, for measuring the degree of consensus between the individual and the group. Then, we establish an optimal model based on maximizing consensus to determine the weights of experts. Following the idea of TOPSIS, we calculate the closeness indices of the alternatives from the perspective of the magnitude of decision data. To identify the optimal alternatives and determine their optimum quantities, we further construct a multi-choice goal programming model based on the derived closeness indices. Finally, an example is given to verify the developed method and to make a comparative analysis.

Power planning in ICT infrastructure: A multi-criteria operational performance evaluation approach

It is critical for information and communications technology (ICT) companies to carry our effective power planning, in order to support the growing number of services they provide, and this traditionally relies on the tacit knowledge and experience of senior staff. The loss of such domain knowledge resulting from the retirement of staff is an important issue for organizations such as Chunghwa Telecom (CHT), the largest ICT operator in Taiwan. This study thus develops a systematic power planning model using a multi-criteria operational performance evaluation. A group version of the fuzzy repertory grid and fuzzy TOPSIS approaches is applied to elicit a set of evaluation criteria that senior staff agree on, and then the priorities of the telecom rooms are evaluated against this. In addition, a new factor, reflecting the attitudes of the decision makers with respect to the degree of strictness, is defined to determine the superiority and inferiority of each alternative compared to the others. Furthermore, a novel decision aggregation strategy regarding the degree of variation among decision makers is proposed, and a quantitative assessment is carried out to analyze its impact on the ranking results in an objective manner. The proposed model may help ICT organizations to more effectively manage their power resources, and thus obtain competitive advantages.

Fuzzy TOPSIS Approach for Plant Location Selection in China

Fuzzy TOPSIS Approach for Plant Location Selection in China

Indicators of Entrepreneurial University: Fuzzy AHP and Fuzzy TOPSIS Approach

The phenomenon of entrepreneurial universities has received considerable attention over the last decades. An entrepreneurial orientation by academia can lead to innovative and sustainable products and research mobilization which help in putting regions and nations in an advantageous position in emerging knowledge-intensive fields of economic activity. Many empirical researches focused on entrepreneurial orientation of university students, but study on antecedents and criteria of the entrepreneurial universities is scarce. The main contribution of this paper is providing a comprehensive criteria set for evaluation of entrepreneurial universities. In this context, environmental and internal factors of entrepreneurial universities were identified based on literature review and survey. Twelve academics and managers have participated in this study by weighing the criteria and scoring alternatives. Society, in particular, higher education institutions, and universities can use the results for creation of new businesses and spin-offs. Data was analyzed by fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preferences by similarity to ideal solution (FTOPSIS).

Identifying Optimum Supply Unit Using an Integrated Fuzzy TOPSIS and MCGP Approach in Apparel Industry Sector

With the inexorability of globalization and open trade system, there has been extension of large business with an increase in the outsourcing of parts and services especially in the apparel sector. Increasing in number, the apparel industries confront dormant competition and need to emphasize on some technical key points to be fortitude. Purchasing and its associated functions are the eminent fields playing important role in this connection as it is most decisive and most of the production cost and time are spent regard to those. As for trading, apparel sector products normally categorize into two - push and pull while pull products are executed in anticipation of the customer order and push products are initiated according to customer order. It engenders dealings with risk and cause more investment which may incur a loss to the industries because of any faltering decision. Appropriate supplier and supply quantity selection triggers the probably of success as other parameters evolve by these and hence they are most important and can reduce risk if it can be handled combined for several products. Using fuzzy-TOPSIS and MCGP, the paper determines the joint (push and pull) amount to take from each supplier based on their performance ranking on selected criteria considering budget, delivery, demand and supply constraints. The result generated solving a LP model formed on the basis of opportunity and threats. The model is solved by LINDO system. The strength of presenting approach is its practical applicability and ability to provide solution under partial or lack of quantitative information and in joint order handling.