The Performance Evaluation in Logistics Service Supply Chain Based on Fuzzy-rough Sets

Taken into consideration the overmany indexes of performance evluation in logistics service supply chain,a method of indexes reduction based fuzzy-rough sets is proposed.The method transforms the continuous real attributes value into the fuzzy value firstly,by regarding all attributes value set of every objects as a fuzzy set,the concepts of fuzzy similarity relation and fuzzy similarity classes of objects are proposed.Lower and upper approxinations and the method of attribute reduction are given based on fuzzy similarity relation and variable precision rough set.Aimed at the evaluation question with only fuzzy judging matrix but without experts' weights,impersonal weights is given according to the attribute importance,by constructing the approximation degree of the evaluated object to ideal points,the most optimal scheme is selected.At last,an example proves the validity of this method.