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Correlation Coefficients for Hesitant Fuzzy Linguistic Term Sets | ||
Journal of Algorithms and Computation | ||
مقاله 7، دوره 51، شماره 1، شهریور 2019، صفحه 79-89 اصل مقاله (272.21 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jac.2019.71533 | ||
نویسندگان | ||
Gholamreza Hesamian* 1؛ Mohammad Ghasem Akbari2 | ||
1Department of Statistics, Payame Noor University, Tehran 19395-3697, Iran | ||
2Department of Mathematical Sciences, University of Birjand, Birjand, 615-97175, Iran | ||
چکیده | ||
Here are many situations in real applications of decision making where we deal with uncertain conditions. Due to the different sources of uncertainty, since its original definition of fuzzy sets in 1965 \cite{zadeh1965}, different generalizations and extensions of fuzzy sets have been introduced: Type-2 fuzzy sets \cite{6,13}, Intuitionistic fuzzy sets \cite{1}, fuzzy multi-sets \cite{37} and etc. However, in such cases, it is suitable for experts to provide their preferences or assessments by using linguistic information rather than quantitative values. | ||
کلیدواژهها | ||
Hesitant fuzzy set؛ linguistic term set؛ correlation coefficient؛ Clustering؛ stepwise algorithm | ||
آمار تعداد مشاهده مقاله: 304 تعداد دریافت فایل اصل مقاله: 234 |