If a decision context is completely precise, making good decisions is relatively easy. In the presence of ambiguity … model for the formulation and solving of decision problems under ambiguity (in the general sense). Particularly, we address …

decision making problem by the use of Entropy Fuzzy and F- PROMETHEE (fuzzy preference ranking method for enrichment evaluation … outcome of solving these kinds of problems. Initially, weights of criteria are determined by implementation of Entropy Fuzzy … algorithm which can deal with these constraints properly. This technique namely called Entropy Fuzzy as a weighting method and F …

measure. We introduce an attitude-based entropy measure by methodically calculating the experts' attitude values through …This study proposes a novel entropy function for the intuitionistic fuzzy sets to improve the existing fuzzy entropy … of the proposed method. An illustrative example exhibits the effectiveness of the proposed intuitionistic fuzzy entropy …

matrices for each decision expert. The maximum deviation and entropy methods determine objective weights for decision experts …

entropy -- Probability-based integration for continuous hesitant fuzzy information in group decision-making -- Probability …