TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting

Yue, Zhongliang

doi:10.1016/j.ins.2014.02.013

Cited by 183 publications

(91 citation statements)

References 58 publications

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“…Yue [115] proposes an extended fuzzy TOPSIS for group decision making problems in an intuitionistic fuzzy environment. First the individual evaluations are collected with this method.…”

Section: Fuzzy Topsismentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

440

194

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Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

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“…Yue [115] proposes an extended fuzzy TOPSIS for group decision making problems in an intuitionistic fuzzy environment. First the individual evaluations are collected with this method.…”

Section: Fuzzy Topsismentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

440

194

View full text Add to dashboard Cite

show abstract

“…Its decision-making process can be expressed in the following five steps [48]: (1) The normalization of the decision matrix; (2) the construction of the weighted normalized decision matrix; (3) the determination of positive and negative ideal solutions; (4) the calculation of separation measures and relative closeness; (5) the ranking of alternatives. Since then, many extended TOPSIS methods have been applied to different multiple-attribute decision making scenarios [49][50][51][52][53][54][55]; for example, Chen [56] proposed an extended TOPSIS method for multiple-attribute decision making by considering triangular fuzzy numbers and defining the crisp Euclidean distance between two fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

A New Hesitant Fuzzy Linguistic TOPSIS Method for Group Multi-Criteria Linguistic Decision Making

2017

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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 this end, we first use the preference degree to define a pseudo-distance between two HFLTSs and analyze its properties. Then we present the positive (optimistic) and negative (pessimistic) information of each criterion provided by each decision maker and aggregate these by using weights of decision makers to obtain the hesitant fuzzy linguistic positive and negative ideal solutions. On the basis of the proposed pseudo-distance, we finally obtain the positive (negative) ideal separation matrix and a new relative closeness degree to rank alternatives. We also design an algorithm based on the provided method to carry out hesitant fuzzy linguistic decision making. An illustrative example shows the elaboration of the proposed method and comparison with the symbolic aggregation-based method, the hesitant fuzzy linguistic TOPSIS method and the hesitant fuzzy linguistic VIKOR method; it seems that the proposed method is a useful and alternative decision-making method.

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“…Jia) to various areas [6][7][8]. However, due to the increasing complexity of the socio-economic environment, some decisions in the real-world situation often need to consider multiple points of view, performing Group Decision Making (GDM) [9][10][11] in which a group of experts provide their preferences to achieve a solution. GDM methods have been extensively applied in various areas.…”

Section: Introductionmentioning

confidence: 99%

A projection-based approach to intuitionistic fuzzy group decision making

Yue

Jia

2017

Scientia Iranica

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Abstract. Group Decision Making (GDM) is usually used for solving complex decision problems, which is an important part of modern decision science. Weight of the Decision Maker (DM) plays an important role in the GDM process, and the projection-based approach is a comprehensive consideration between decision objects. It is a valuable work to determine the weights of DMs by a projection measurement. This paper investigates a GDM method based on projection measurement in an intuitionistic fuzzy environment. First, this article introduces an ideal decision among all individual decisions, and the weights of DMs are determined by using a projection measurement. Then, the individual decisions are aggregated into a collective decision. Finally, the preference order of alternatives is identi ed by using the score and accuracy function of the intuitionistic fuzzy numbers. In addition, a comparison with another GDM method is provided. Feasibility and practicability of the developed method are illustrated by an experimental analysis. The experimental result shows that the projection-based method is a high-resolution decision method.

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TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting

Cited by 183 publications

References 58 publications

Fuzzy Multicriteria Decision-Making: A Literature Review

Fuzzy Multicriteria Decision-Making: A Literature Review

A New Hesitant Fuzzy Linguistic TOPSIS Method for Group Multi-Criteria Linguistic Decision Making

A projection-based approach to intuitionistic fuzzy group decision making

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