توضیحات
ABSTRACT
In this paper, we propose a novel approach for constructing a preference fuzzy distance measure. For this purpose, we propose a new and effective preference ordering based on the Abbasbandy and Hajjari’s approach .
INTRODUCTION
In order to rank fuzzy numbers, one fuzzy number needs to be evaluated and compared with the others, but this may not be easy. Jain [4,5] proposed a method using concept of maximizing set to order the fuzzy numbers in 1976. Some of these ranking methods have been compared and reviewed by Bortolan and Degani[6]. Chen and Hwang [29] proposed fuzzy multiple attribute decision making in 1992, Choobineh and Li[8] proposed an index for ordering fuzzy numbers in 1993. Also, Dias [9] ranked alternatives by ordering fuzzy numbers in 1993, Fortemps and Roubens [12] presented ranking and defuzzication methods based on area compensation in 1996. In 1998, Lee and Li [14] ranked fuzzy numbers based on two different criteria, namely, the fuzzy mean and the fuzzy spread of fuzzy numbers. So, Cheng [15] proposed the coefficient of variance (CV index) to improve Lee and Li’s ranking method.
Year: 2016
Publisher: Journal of Fuzzy Set Valued Analysis 2016 SI
By: M. Lotfi , S. Salahshour , F. Nasr Esfahani3, A. Jafarnejad
File information: English Language / 8 Page / Size :424 KB
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سال: 2016
ناشر: Journal of Fuzzy Set Valued Analysis 2016 SI
کاری از: M. Lotfi, S. Salahshour , F. Nasr Esfahani, A. Jafarnejad
اطلاعات فایل: زبان انگلیسی/ 8 صفحه/ حجم : 424 KB
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