نتایج جستجو برای: fuzzy topsis method

تعداد نتایج: 1700591  

2014
Shanliang Yang Ge Li Kedi Huang

The evaluation of flexible manufacturing system(FMS) is regarded as a multiple attribute group decisionmaking problem and has a critical impact on the improvement of manufacturing system competitiveness. Therefore, an effective group decision-making model using fuzzy-TOPSIS method is developed for the evaluation of alternative FMSs where the information available is subjective and imprecise. In...

2011
Ji-Feng Ding

The main purpose of this paper is to develop an integrated fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to improve the quality of decisionmaking for ranking alternatives. The proposed fuzzy TOPSIS method mainly accounts for the classification of criteria, the integrated weights of criteria and sub-criteria, and the performance values of decision matrix. I...

2012
S. Mahmoodzadeh J. Shahrabi M. Pariazar M. S. Zaeri

In this article, by using fuzzy AHP and TOPSIS technique we propose a new method for project selection problem. After reviewing four common methods of comparing alternatives investment (net present value, rate of return, benefit cost analysis and payback period) we use them as criteria in AHP tree. In this methodology by utilizing improved Analytical Hierarchy Process by Fuzzy set theory, first...

2012
M. Salehi R. Tavakkoli - Moghaddam

Selection of a project among a set of possible alternatives is a difficult task that the decision maker (DM) has to face. In this paper, by using a fuzzy TOPSIS technique we propose a new method for a project selection problem. After reviewing four common methods of comparing investment alternatives (net present value, rate of return, benefit cost analysis and payback period) we use them as cri...

2012
Ali Mohaghar Reza Fathi

This paper presents an integrated fuzzy approach for selecting R&D project. In the integrated approach, fuzzy concepts are used for decision-makers’ subjective judgments to reflect the vague nature of the selection process. Fuzzy ANP and Fuzzy TOPSIS are included in the integrated approach. Fuzzy ANP is used to determine the fuzzy weights of criteria and sub-criteria. Fuzzy TOPSIS aims to rank ...

2015
Selim Eraslan Faruk Karaaslan

− In this paper, we first briefly present conventional TOPSIS method developed by Hwang and Yoon[10, 19] as a multi-criteria decision making technique. We then give a group decision making method based on TOPSIS method under fuzzy soft environment, and finally give an application of proposed method to show operation and effectiveness of method.

2017
Berk AYVAZ Ali Osman KUŞAKCI

Öz Supplier evaluation and selection includes both qualitative and quantitative criteria and it is considered as a complex Multi Criteria Decision Making (MCDM) problem. Uncertainty and impreciseness of data is an integral part of decision making process for a real life application. The fuzzy set theory allows making decisions under uncertain environment. In this paper, a trapezoidal type 2 fuz...

Journal: :Symmetry 2017
Fangling Ren Mingming Kong Zheng Pei

Hesitant fuzzy linguistic decision making is a focus point in linguistic decision making, in which the main method is based on preference ordering. This paper develops a new hesitant fuzzy linguistic TOPSIS method for group multi-criteria linguistic decision making; the method is inspired by the TOPSIS method and the preference degree between two hesitant fuzzy linguistic term sets (HFLTSs). To...

Journal: :Eng. Appl. of AI 2016
Luciano Ferreira Denis Borenstein Éverton Santi

In this paper, we propose a hybrid fuzzy decision making approach, combining elements of fuzzy-ELECTRE and Fuzzy-TOPSIS, towards a new ranking procedure. The main objective of FETOPSIS is to offer rankings with good alternative discriminatory power to decision makers (DMs). This research work was motivated by a real case study in which multiple attribute decision making techniques were used to ...

2011
Fung-Bao Liu Cheng-Feng Hu C.-F. Hu

In this work, a version of the technique for order preference by similarity ideal solution (TOPSIS) with entropic regularization approach is developed for solving the fuzzy multi-objective nonlinear programming (MONLP) problems. Applying the basic principle of compromise of TOPSIS, the fuzzy MONLP problem can be reduced into a fuzzy bi-objective nonlinear programming problem. Moreover, followin...

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