淡江大學機構典藏:Item 987654321/78163
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/78163


    Title: A new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets
    Authors: 陳錫明;Chen, Shyi-ming;王正一;Wang, Cheng-yi
    Contributors: 淡江大學資訊管理學系
    Keywords: Fuzzy decision making;Fuzzy ranking;Generalized fuzzy numbers;Interval type-2 fuzzy sets
    Date: 2011-07-10
    Issue Date: 2012-09-09 22:33:13 (UTC+8)
    Publisher: IEEE
    Abstract: This paper presents a new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets. First, we propose a new fuzzy ranking method based on the α-cuts of generalized fuzzy numbers and interval type-2 fuzzy sets. The proposed fuzzy ranking method involves a decision-maker’s attitude towards
    risks to calculate the left areas and the right areas of generalized fuzzy numbers and interval type-2 fuzzy sets with the consideration of the heights of generalized fuzzy numbers and interval type-2 fuzzy sets. Based on the proposed fuzzy ranking method, we propose a new method for fuzzy decision making. The proposed fuzzy decision making method is more flexible and more intelligent than the existing fuzzy decision
    making methods, where it not only considers the decision-maker’s attitude towards risks, but also can deal with situations where the evaluating values are represented by
    interval type-2 fuzzy sets.
    Relation: Proceedings of the 2011 International Conference on Machine Learning and Cybernetics v.1, pp.131-136
    DOI: 10.1109/ICMLC.2011.6016693
    Appears in Collections:[Graduate Institute & Department of Information Management] Proceeding

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