Extensions of the TOPSIS for group decision-making under fuzzy environment

By Chen-Tung Chen. Fuzzy Sets Syst., 2000

3,598 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/81eaedd1aaa095d022c79c38ccf678bf43fafc71

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In Control and Systems Engineering

In Management of Technology and Innovation

In Management Science and Operations Research

Citations in the corpus

Fuzzy Group Decision Making for the Selection of Facility Location (2011, methodology): “According to the closeness coefficient of three alternatives, the ranking order of three alternatives is determined as A1 > A2 > A3. Although we use different distance measurement methods, we reach the same ranking order for alternatives as shown in Table 10. Chen (2000) proposed to use vertex met”
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, methodology): “(1) A method based on a transformation to fuzzy numbers by means of membership functions [6,9,16,18,21,62].”
A state-of the-art survey of TOPSIS applications (2012, methodology): “Wang, Cheng, and Huang (2009) Lithium ion battery protection IC supplier selection problem. Fuzzy AHP and fuzzy hierarchical TOPSIS Wang (2011) Selecting an efficient location for a new factory Fuzzy TOPSIS Wang et al.”
A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS (2011, methodology): “…numbers were applied to establish a prototype fuzzy TOPSIS (Chen & Hwang, 1992; Negi, 1989), many works on fuzzy TOPSIS have been investigated (Chen, 2000; Chu & Lin, 2009; Jahanshahloo, Hosseinzadeh Lotfi, & Izadikhah, 2006; Kuo, Tzeng, & Huang, 2007; Mahdavi, Mahdavi-Amiri, Heidarzade, &…”
A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach (2009, background): “0) Note: this table is the linguistic scale and their corresponding fuzzy numbers defined by Wang and Chang (1995) and used in Chen (2000). In these equations, vector D and vector R denote the sum of rows and the sum of columns from total-relation matrix T 1⁄4 1⁄2tij n n, respectively.”
Modeling uncertainty in multi-criteria decision analysis (2012, background): “Chen [31] defines a crisp ‘Euclidean’ distance between two triangu-”
The interval-valued fuzzy TOPSIS method and experimental analysis (2008, positive): “Thus, an extension of TOPSIS to the fuzzy environment is a natural generalization of TOPSIS models [6,11,17].”
Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS (2013, methodology): “Chen (2000) extended the TOPSIS method to fuzzy group decision-making situations by considering triangular fuzzy numbers and defining a crisp Euclidean distance between two fuzzy numbers.”
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection (2011, methodology): “Chen and Cheng (2005) proposed a fuzzy group decision support system based on metric distance method to solve the information system in personnel selection problem. Karsak (2001) presented a fuzzy MCDM approach based on ideal and anti-ideal solutions for the selection of the most suitable candidate.”