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.
Hesamian, G., & Akbari, M. G. (2019). Correlation Coefficients for Hesitant Fuzzy Linguistic Term Sets. Journal of Algorithms and Computation, 51(1), 79-89. doi: 10.22059/jac.2019.71533
MLA
Gholamreza Hesamian; Mohammad Ghasem Akbari. "Correlation Coefficients for Hesitant Fuzzy Linguistic Term Sets". Journal of Algorithms and Computation, 51, 1, 2019, 79-89. doi: 10.22059/jac.2019.71533
HARVARD
Hesamian, G., Akbari, M. G. (2019). 'Correlation Coefficients for Hesitant Fuzzy Linguistic Term Sets', Journal of Algorithms and Computation, 51(1), pp. 79-89. doi: 10.22059/jac.2019.71533
VANCOUVER
Hesamian, G., Akbari, M. G. Correlation Coefficients for Hesitant Fuzzy Linguistic Term Sets. Journal of Algorithms and Computation, 2019; 51(1): 79-89. doi: 10.22059/jac.2019.71533
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