Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
By Yu-Jie Wang, Hsuan-Shih Lee. Computers and Mathematics with Applications, 2007
430 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/fdd3a1ec7f7dd770b5d5e3700ad146da68c1c85b
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In Artificial Intelligence
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In Computational Theory and Mathematics
- Hongbin Liu
- Charbel José Chiappetta Jabbour
- Edmundas Kazimieras Zavadskas
- Rosa M. Rodríguez
- Young Chel Kwun
- J. H. Park
- Il Young Park
- Ana Beatriz Lopes de Sousa Jabbour
In Management Science and Operations Research
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Citations in the corpus
- Developing a fuzzy TOPSIS approach based on subjective weights and objective weights (2009, background): “The MCDM problems may be divided into two kinds of problem (Wang & Lee, 2007).”
- A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making (2014, methodology): “To show the usefulness of the fuzzy envelope proposed for HFLTS, in this section a supplier selection multicriteria decision making problem is solved by using a fuzzy TOPSIS model [2, 5, 30] and follows the scheme depicted in Figure 9.”
- A state-of the-art survey of TOPSIS applications (2012, methodology): “…Assessing the performance of property responsibility insurance companies Fuzzy ANP fuzzy TOPSIS, and fuzzy VIKOR (all with Interval-valued fuzzy approach) Wang and Lee (2007) Evaluating airport operation performance with group decision-making Fuzzy TOPSIS Wu, Lin, and Lin (2009) Selecting the…”
- Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection (2016, background): “A fuzzy number is a special case of a convex, normalized fuzzy subset (supμ Ã (x) = 1) of the real line R(μ Ã (x) : R 7→ [0, 1]) [29].”
- Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, neutral): “The MCDM approach fall into two categories (Bashiri, Badri, & Hejazi, 2011; Pawlak, 1982; Wang & Lee, 2009; Wang & Lee, 2007; Xu & Da, 2002): classical MCDM and fuzzy FMCDM (Wang, Lee, & Lin, 2003).”
- Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment (2011, methodology): “In particular, Wang and Lee [10] proposed two operator Up and Lo to find positive-ideal and negative-ideal solutions and used these operators to solve fuzzy multiple-criteria group decision making problem.”
- Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company (2014, methodology): “The fuzzy TOPSIS solution method consists of the following steps: (Hwang & Yoon, 1981; Chen, Lin, & Huang, 2006; Wang & Lee, 2007; Singh & Benyoucef, 2011).”
- A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS (2011, neutral): “…Lotfi, & Izadikhah, 2006; Kuo, Tzeng, & Huang, 2007; Mahdavi, Mahdavi-Amiri, Heidarzade, & Nourifar, 2008; Wang & Chang, 2007; Wang & Elhag, 2006; Wang & Lee, 2007, 2009; Yeh & Deng, ll rights reserved. fuzzy set whose basic component is only a membership function, Atanassov (1986) introduced…”