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COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING

عنوان مقاله: COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING
شناسه ملی مقاله: JR_IJFS-6-1_003
منتشر شده در در سال 1388
مشخصات نویسندگان مقاله:

Ferenc szidarovszky - Systems and Industrial Engineering Department, University of Arizona, Tucson, Az ۸۵۷۲۱-۰۰۲۰, USA
Mahdi Zarghami - Faculty of Civil Engineering, University of Tabriz, Tabriz ۵۱۶۶۴, Iran

خلاصه مقاله:
This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not needed resulting in better computationefficiency. The theoretical results will be illustrated in a water resources managementproblem. This case study shows that more sensitive decisions areobtained by using the new method.

کلمات کلیدی:
OWA operator, Fuzzy quantifiers, Neat operator, Multi criteria decision making, Watershed management

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1466574/