Method of fuzzy-evidence reasoning based on similarity measure

On the basis of analyzing generalized methods of evidence reasoning to fuzzy set, a method of fuzzy-evidence reasoning based on similarity measure is proposed. Similarity measure of fuzzy sets is introduced to determine contribution factors of fuzzy focal elements to belief function and plausibility function in the method. Based on the measure, basic probability assignment values are modified and an efficient fuzzy-evidence combinational rule is proposed. Finally, with examples, the proposed method is compared with some existing generalized ones, and the results show the method is effective in sensitivity of belief function to the change of fuzzy focal elements and catching more information from the change.