COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING
نویسندگان
1 Systems and Industrial Engineering Department, University of Arizona, Tucson, Az 85721-0020, USA
2 Faculty of Civil Engineering, University of Tabriz, Tabriz 51664, Iran
doi
10.22111/ijfs.2009.216چکیده
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.
