Single and Interval-Valued Hybrid Enthalpy Fuzzy Sets and a TOPSIS Approach for Multicriteria Group Decision Making

The concept of entropy is one the most important notions information theory. Entropy quantifies amount uncertainty involved in value a random variable or outcome process. Shannon’s useful types. notion enthalpy energy expressed by complement entropy. In this paper, we propose interval-valued hybrid fuzzy set modifying single and multisets. context, an contains about both data their We also provide cosine similarity measure between sets. Using measure, TOPSIS approach for multicriteria group decision making. Moreover, apply proposed method to research assistant selection problem, compare result with classical method.