2008
DOI: 10.1007/978-0-387-76813-7_1
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Multi-Criteria Decision Making Methods and Fuzzy Sets

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Cited by 118 publications
(100 citation statements)
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“…Since the evaluation criteria could be arrayed into a hierarchy, we conduct an AHP-fuzzy TOPSIS approach in evaluating the LTC programmes. This approach extends the fuzzy TOPSIS method to a hierarchical one and has been conducted by many researchers, also named as hierarchical fuzzy TOPSIS method [31][32][33]. This method inherits the hierarchy mechanism of AHP method and provides greater superiority to classical fuzzy TOPSIS methods [34,35].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Since the evaluation criteria could be arrayed into a hierarchy, we conduct an AHP-fuzzy TOPSIS approach in evaluating the LTC programmes. This approach extends the fuzzy TOPSIS method to a hierarchical one and has been conducted by many researchers, also named as hierarchical fuzzy TOPSIS method [31][32][33]. This method inherits the hierarchy mechanism of AHP method and provides greater superiority to classical fuzzy TOPSIS methods [34,35].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In contrast, fuzzy sets have more flexible membership requirements that allow for partial membership in a set. Everything is a matter of degree, and exact reasoning is viewed as a limiting case of approximate reasoning [16]. We can easily use fuzzy with Matlab™ fuzzy toolbox.…”
Section: Fuzzy Modelmentioning
confidence: 99%
“…The weights for indicators emphasize the feasibility of using a decision making approach in manipulating expert experiences and judgments help the authors understand the severity of health related problems among chronic kidney disease patients. Kabassi [8] applied FSAW in her study for evaluating a personalized geographical information system. FSAW was chosen because the evaluation of software involves several criteria and therefore, can be considered as a multi-criteria problem.…”
Section: Introductionmentioning
confidence: 99%