| نویسندگان | Mohammad Ghasem Akbari |
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| نشریه | Journal of Algorithms and Computation |
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| شماره صفحات | 79-89 |
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| شماره سریال | 1 |
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| شماره مجلد | 51 |
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| نوع مقاله | Full Paper |
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| تاریخ انتشار | 2019 |
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| نوع نشریه | چاپی |
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| کشور محل چاپ | ایران |
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| کلید واژه ها | Hesitant fuzzy set, linguistic term set, correlation coecient, Clustering, stepwise algorithm. |
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چکیده مقاله
Here are many situations in real applications of decision
making where we deal with uncertain conditions. Due
to the dierent sources of uncertainty, since its original
denition of fuzzy sets in 1965 [45], dierent generaliza-
tions and extensions of fuzzy sets have been introduced:
Type-2 fuzzy sets [11, 39], Intuitionistic fuzzy sets [1],
fuzzy multi-sets [44] 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.
