Determination of Criteria Weights Based on Soft Sets and Aggregation Operators under Preference Orderings in MCGDM

Abstract

Preference information integration of experts in weights determination of criteria is principle in MCGDM (Multiple Criteria Group Decision Making). Based on the nonrestraint of parameters selection of soft sets and the characteristic of specified aggregation operators, this paper describes a novel approach of weight determination under preference orderings of different experts. The corresponding algorithm is given and implemented by Matlab. Lastly, an illustrative example is given to determine the weights of criteria in the partner selection of R&D cooperation of enterprises. The result shows that the approach is efficient and feasible.