Study on Partner Selection for a Virtual Enterprise Based on Vague Sets

During the partner selection process in a virtual enterprise, the information about the candidates and their performances are incomplete and uncertain. In this paper, vague sets theory is introduced to give comprehensive consideration to truth membership, false membership and uncertainty membership degree of the candidates to satisfy the decision-maker. On the basis of the agreement index of satisfaction degree, the formulated partner selection problems are interpreted so as to maximize the average agreement index. To solve the problem, genetic algorithm is proposed. Finally, the simulation of a case demonstrates that the method is effective.