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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/22105


    Title: A fuzzy logic-based approach in capacity-planning problems
    Authors: Pai, P.-F.a , Chang, P.-T.a, Wang, S.-S.a, Lin, K.-P.
    Contributors: Department of Industrial Engineering and Enterprise Information, Tunghai University
    Keywords: Capacity-planning;Fuzzy logic;Fuzzy set theory
    Date: 2004
    Issue Date: 2013-05-15T09:10:33Z (UTC)
    Abstract: In capacity-planning systems, various sources of uncertainty and imprecision are encountered. In most cases, the uncertainty is determined by the subjective beliefs of managers linguistically. However, the measurement of mangers' judgments is difficult and vague. Therefore, a fuzzy logic-based approach is proposed to deal with capacity-planning problems in the presence of the uncertain demand, set-up resources, and the capacity constraints. Firstly, fuzzy numbers are used to represent uncertain data. Secondly, fuzzy if-then rules are employed to model vaguely defined relations between fuzzy numbers. Then, the computational aspects of fuzzy models and interpretations of inference results are illustrated by a numerical case. Finally, three examples are used to verify the proposed representation and inference mechanism.
    Relation: International Journal of Advanced Manufacturing Technology
    Volume 23, Issue 11-12, 2004, Pages 806-811
    Appears in Collections:[工業工程與經營資訊學系所] 期刊論文

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