کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386437 | 660884 | 2010 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The revised method of ranking LR fuzzy number based on deviation degree
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Recently, Wang, Liu, Fan, and Feng (in press) proposed an approach to overcome the limitations of the existing studies and simplify the computational procedures based on the LR deviation degree of fuzzy number. However, there were some problems with the ranking method. In this paper, we want to indicate these problems of Wang’s method and then propose a revised method which can avoid these problems for ranking fuzzy numbers. Since the revised method is based on the Wang’s method, it is easy to rank fuzzy numbers in a way similar to the original method. The method is illustrated by numerical examples and compared with other methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 7, July 2010, Pages 5056–5060
Journal: Expert Systems with Applications - Volume 37, Issue 7, July 2010, Pages 5056–5060
نویسندگان
B. Asady,