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Chinese Journal of Management Science ›› 2005, Vol. ›› Issue (6): 97-101.

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Study for Selection of R&D Project Cooperative Member Based on Fuzzy Multi-Granularity Term Sets under R&D Strategic Alliance

WANG Liang, YANG Nai-ding   

  1. Management School, Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2005-03-02 Revised:2005-11-10 Online:2005-12-28 Published:2012-03-07

Abstract: In this paper,an operating method is given for selection of most ideal project cooperative member under strategic alliance.A feasible scope of bid price is given through static gaming model for cooperative member.Considering of experts evaluating expecting profit degree with fuzzy multi-granularity,it is first transferred to basic linguistic term set to get integrated eveluation information for calculating profit degree and optimum bid price.Price and time satisfaction degree formulas are given.Based on the translation formulas of utility values and ranking formulas of complementary judgment matrix for information integrated,a most ideal project cooperative member is selected.

Key words: research and development alliance, project cooperation, fuzzy multi-granularity term sets, satisfaction degree

CLC Number: