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Application of Intuitionistic fuzzy and Hamming Distance Measure in Multiple Attribute Decision Making (MADM)

Rajesh Joshi

In this paper, we have considered an intuitionistic fuzzy entropy with both the uncertainty and hesitancy degree of IF sets. Based on this IF entropy, a new decision-making method of a multi-attribute decision making problem (MADM) has been introduced in which attribute values are expressed with IF values. In the case of attribute weight, a case with partially known attribute weights is discussed and a method is developed to determine the attribute weights. This method is an extension of ordinary entropy weight method. At last, an air-codition example is used to illustrate the application of the proposed model.