Selecting Plant Location via a Fuzzy TOPSIS Approach

By T. Chu. 2002

317 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/02a005ffab1fd2f0e89c772c58390c70c9635f22

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In Artificial Intelligence

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In Statistics and Probability

Citations in the corpus

Fuzzy Group Decision Making for the Selection of Facility Location (2011, methodology): “Chu (2002) , presented a fuzzy TOPSIS model under group decisions for solving facility location selection problem.”
A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method (2012, methodology): “Chu [12] studied the location selection problem with fuzzy technique for order preference by similarity to ideal solution (TOPSIS, proposed by Hwang and Yoon [13]) method by quantifying linguistic assessment for criteria and weights using fuzzy numbers.”
Plant location selection based on fuzzy TOPSIS (2006, methodology): “According to the group closeness coefficient, the ranking order of the three candidates is A3, A2 ,a nd A1. Obviously, the best choice is candidate A3. The result of the proposed method is the same as the result determined in [ 5 ].”
A Fuzzy TOPSIS Method for Robot Selection (2003, methodology): “To avoid a complicated calculation of irregular fuzzy numbers, all Sit terms (i 1~m , t 1~ k) are defuzzified into crisp values Sit terms by Eq. (11) [ 18 ].”
A state-of the-art survey of TOPSIS applications (2012, methodology): “Fuzzy AHP and fuzzy hierarchical TOPSIS Wang (2011) Selecting an efficient location for a new factory Fuzzy TOPSIS Wang et al. (2011a) Selecting a suitable supplier for a key component in producing a new product Fractional programming, quadratic programming, and intervalvalued intuitionistic fuzzy T”
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment (2007, methodology): “This approach is demonstrated with a real case study involving 16 evaluation criteria, seven initial propeller-driven training aircraft assessed by 15 evaluators from the Taiwan Air Force Academy.”
Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment (2006, methodology): “Chu (2002a; 2002b) and Chu and Lin (2003) also change a fuzzy MCDM problem into a crisp one and solve the crisp MCDM problem using the TOPSIS method.”