Method For Interval Intuitionistic Fuzzy Multiple Attribute Decision Making Based On Relative Entropy

The multi-attribute decision making is to examine the evaluation of the object (or program)from different angles, and make more rational decision-making through comprehensiveevaluation method. Due to the complexity of the objective things, uncertainty and the fuzzinessof human thinking, people often can not be directly in decision-making information to makeaccurate judgments, but by the interval number and in the form of intuitionistic fuzzy numbers torepresent. Interval valued intuitionistic fuzzy number is to further promote intuitionistic fuzzynumbers. It can be more delicate to describe and characterize the fuzziness of attribute values，sobased on the intuitionistic fuzzy number of uncertain multi-attribute decision theory, methodsand applications become the focus of attention of the current decision-making research workers.In this paper, the multi-attribute decision making problems of interval intuitionistic fuzzy inproperty value are studied, the main work are as follows:1.For the property value of interval intuitionistic fuzzy multiple attribute decision makingproblems, We give the decision-making program, the ideal point of the interval intuition fuzzynumber relative entropy of the two definitions, analyze its nature; Based on relative entropy ofinterval intuitionistic fuzzy multiple attribute decision making, an example is presented toillustrate the approach.2.With regard to the criteria weights with incomplete certain information in multicriteriadecision making, a new method is proposed based on interval-valued intuitionistic fuzzy relativeentropy, with a maximum deviation method without weight information and incompleteinformation on weights of solving weight optimization model is established. A method of thesedecision making problems is proposed. Finally, an example is used to illustrate the feasibilityand effectiveness of the proposed approach.