Facility Location Selection Using Fuzzy TOPSIS Under Group Decisions
By T. Chu. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002
324 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e6a798ad6b710ad9473e49c6e60e51b3bcd8bbaf
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In Control and Systems Engineering
- David L. Olson
- Yingming Wang
- Taha M. S. Elhag
- Kavita Devi
- Shiv Prasad Yadav
- E. Lee
- Huan-Jyh Shyur
- Hsu-Shih Shih
In Management Science and Operations Research
- Yingming Wang
- Taha M. S. Elhag
- Kavita Devi
- Shiv Prasad Yadav
- David L. Olson
- V. Prasanna Venkatesan
- T. Miranda Lakshmi
- Martin Aruldoss
In Statistics and Probability
- Yingming Wang
- Taha M. S. Elhag
- Kavita Devi
- Shiv Prasad Yadav
- David L. Olson
- Anjali Awasthi
- Satyaveer Singh Chauhan
- Suresh Kumar Goyal
Citations in the corpus
- A Survey on Multi Criteria Decision Making Methods and Its Applications (2013, methodology): “Fuzzy MCDM methods also have been applied in areas such as location planning [9], revision of OWA operator problems [10] etc., which are described in Table 2.”
- 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.”
- Comparison of weights in TOPSIS models (2004, methodology): “Neural network approaches to obtain weights for TOPSIS have been applied [10], and fuzzy set extensions implemented [15,16].”
- A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty (2011, methodology): “Chu [23] developed a fuzzy TOPSIS model to solve the facility location selection problem under group decision making.”
- Fuzzy Multicriteria Decision-Making: A Literature Review (2015, unknown): “Chu [93] uses fuzzy TOPSIS model for solving the facility location selection problem.”
- Selecting Plant Location via a Fuzzy TOPSIS Approach (2002, methodology): “t=1, 2, %, k, be the suitability rating assigned to alternative Ai by decision maker Dt for criterion Cj. The averaged suitability rating, xij=(oij,pij,qij), of alternative Ai for criterion Cj assessed by the committee of k decision makers can be evaluated as [7,9, 10 ]:”
- An extension of TOPSIS for group decision making (2007, methodology): “, outside the traditional TOPSIS procedure; see Chen [23], Chu [20], Parkan and Wu [24], Shih et al.”
- A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method (2012, methodology): “Thus, to deal with qualitative data, many fuzzy MCDM methods have been proposed for plant location selection problem [7–11].”