Fuzzy Data Mining with TOPSIS for Fuzzy Multiple Criteria Decision Making Problems

Chin-yao Low () and Sung-nung Lin
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Chin-yao Low: National Yunlin University of Science and Technology
Sung-nung Lin: National Yunlin University of Science and Technology

Chapter Chapter 39 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 377-389 from Springer

Abstract: Abstract In this study, we purpose a common fuzzy multiple criteria decision making model. Different with formerly studies, a new concept—fuzzy data mining scheme is adopted for considering in the model to establish a fuzzy multiple criteria decision making with time weight (FMCDMTW) model. In this study, a real case of fuzzy multiple criteria decision making (FMCDM) problem to be considering. The problem under investigated is a FMCDM problem with multiple appraisers, and the data considered is combined with historic data and recent data. Since the evaluated criteria proposed in the literature cannot be defined precisely and numerically, fuzzy linguistic terms can be used to aggregate them numerically. It not only conforms to human cognition but also benefits interpretation. Furthermore, notice that the data considered contains certain amount of historic data. As a result, fuzzy time weighted technique is adopted to resolve this issue.

Keywords: Auction website; FMCDM; Fuzzy data mining; Fuzzy time weighted; TOPSIS (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_39

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DOI: 10.1007/978-3-642-38391-5_39

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