R&D联盟条件下基于FMGTS评价的R&D项目合作成员选择  

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

作　　者：王良[1] 杨乃定[1] 

机构地区：[1]西北工业大学管理学院,陕西西安710072

出　　处：《中国管理科学》2005年第6期97-101,共5页Chinese Journal of Management Science

基　　金：国家社会科学基金资助项目(03CJY004);航空科学基金资助项目(03J53074)

摘　　要：针对如何从多个候选R&D联盟成员中选择最理想的R&D项目合作成员问题,提出了一种操作性较强的选择方法。首先通过静态博弈得到了候选R&D联盟成员进行某R&D项目合作时竞标价格的可行区间,在考虑专家采用模糊多粒度语言(fuzzy multi-granularity term sets,FMGTS)进行期望获利度评价的状况下,运用基本语言转换函数将评价信息进行集结,据此确定候选R&D联盟成员的期望获利度和优化的竞标价格。在给出价格满意度与工期满意度公式的基础上,利用效用值法将基于不同满意度下的排名决策信息进行一致化处理,最后采用互补判断矩阵中的排序公式来选择理想的R&D项目合作成员。In this paper,an operating method is given der strategic alliance. A feasible scope of bid price is ber. Considering of experts evaluating expecting profit for selection of most ideal project cooperative member ungiven through static gaming model for cooperative memdegree 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.

关 键 词：R&D联盟 项目合作 模糊多粒度语言 满意度 

分 类 号：F270[经济管理—企业管理]