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Information Journal Paper

Title

COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING

Pages

  15-25

Abstract

 This paper will introduce a new method to obtain the order weights of the Ordered Weighted Averaging (OWA) operator. We will first show the relation between FUZZY QUANTIFIERS and neat OWA OPERATORs and then offer a new combination of them. FUZZY QUANTIFIERS are applied for soft computing in modeling the optimism degree of the decision maker. In using NEAT OPERATORs, the ordering of the inputs is not needed resulting in better computation efficiency. The theoretical results will be illustrated in a water resources management problem. This case study shows that more sensitive decisions are obtained by using the new method.

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    APA: Copy

    SZIDAROVSZKY, F., & ZARGHAMI, M.. (2009). COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING. IRANIAN JOURNAL OF FUZZY SYSTEMS, 6(1), 15-25. SID. https://sid.ir/paper/113259/en

    Vancouver: Copy

    SZIDAROVSZKY F., ZARGHAMI M.. COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2009;6(1):15-25. Available from: https://sid.ir/paper/113259/en

    IEEE: Copy

    F. SZIDAROVSZKY, and M. ZARGHAMI, “COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 6, no. 1, pp. 15–25, 2009, [Online]. Available: https://sid.ir/paper/113259/en

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