R&D联盟条件下基于FMGTS评价的R&D项目合作成员选择

中国管理科学 ›› 2005, Vol. ›› Issue (6): 97-101.

R&D联盟条件下基于FMGTS评价的R&D项目合作成员选择

王良, 杨乃定

西北工业大学管理学院, 陕西, 西安, 710072

收稿日期:2005-03-02 修回日期:2005-11-10 出版日期:2005-12-28 发布日期:2012-03-07
基金资助:
国家社会科学基金资助项目(03CJY004);航空科学基金资助项目(03J53074)

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

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

摘要/Abstract

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。

关键词: R&D联盟, 项目合作, 模糊多粒度语言, 满意度

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

中图分类号:

F270

王良, 杨乃定. R&D联盟条件下基于FMGTS评价的R&D项目合作成员选择[J]. 中国管理科学, 2005, (6): 97-101.

WANG Liang, YANG Nai-ding. Study for Selection of R&D Project Cooperative Member Based on Fuzzy Multi-Granularity Term Sets under R&D Strategic Alliance[J]. Chinese Journal of Management Science, 2005, (6): 97-101.

参考文献

[1] Kamien M,Muller E,Zang I.Research joint ventures and R &D cartels [J].American Economic Review,1992,82:1293-1306.
[2] Jorge Niosi.Fourth-Generation R & D:From Linear Models to Flexible Innovation[J].Journal of Business Research,1999,45(2):111-117.
[3] Xiaohua Yang,Marilyn Taylor and Clyde Stoltenberg.Assessing the effects of structural and project characteristics on R & D strategic alliance performance:A unified approach [J].The Journal of High Technology Management Research,1999,10(1):105-121.
[4] John D.Neill,Glenn M.Pfeiffer and Candace E.YoungYbarra.Technology R &D alliances and firm value[J].The Journal of High Technology Management Research,2001,12(2) :227-237.
[5] Oded Bizan.The determinants of success of R& D projects:evidence from American-Israeli research alliances[J].Research Policy,2003,32(9):1619-1640.
[6] Josh Lerner,Hilary Shane and Alexander Tsai.Do equity financing cycles matter? Evidence from biotechnology alliances[J].Journal of Financial Economics,2003,67 (3):411-446.
[7] M.Tina Dacin,Michael A.Hitt and Edward Levitas.Selecting partners for successful international alliances:Examination of U.S.and Korean firms[J].Journal of World Business,1997,32(1) :3-16.
[8] W.H.Ip,Min Huang,K.L.Yung and Dingwei Wang.Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise[J].Computers & Operations Research,2003,30(2) :213-231.
[9] 王哲,容毅虹,于渤,徐殿国.利用基于TOCO的新工具实现供应商选择的科学决策[J].中国管理科学,2004,12(4) :43-45.
[10] Ji-Feng Ding and Gin-Shuh Liang,Using fuzzy MCDM to select partners of strategic alliances for liner shipping [J].Information Sciences,2005,173(3):197-225.
[11] Wen-Syan Li and Divyakant Agrawal.Supporting web query expansion efficiently using multi-granularity indexing and query processing[J].Data & Knowledge Engineering,2000,35 (3):239-257.
[12] F.Herrera,E.Herrera-Viedma and Luis Martinez.A fusion approach for managing multi-granularity linguistic term sets in decision making[J].Fuzzy Sets and Systems,2000,114(1) :16,43-58.
[13] 徐泽水.多属性决策中四类偏好信息的一种集成途径[J].系统工程理论与实践,2002,(11):118-119.

[1]	肖泉,万杉杉,张星,蔡淑琴. IT可供性视角下移动直播电商平台用户质量感知与满意度研究[J]. 中国管理科学, 2024, 32(10): 181-193.
[2]	夏宇, 谢家平, 朱卫君. 产品后市场服务质量水平的动态决策模型[J]. 中国管理科学, 2023, 31(4): 101-110.
[3]	任腾, 李姝萱, 周忠宝, 李思迪, 肖和录. 基于满意度BLP-DEA的区域可持续发展系统效率评价研究[J]. 中国管理科学, 2022, 30(7): 99-109.
[4]	郭晓姝, 张焱, 徐健. 道歉承诺类管理反馈策略对顾客二次满意度的影响——基于顾客多样情绪调节效应[J]. 中国管理科学, 2021, 29(2): 217-227.
[5]	王治莹, 李勇建, 刘小弟. 考虑多种诱导信息下公众满意度的舆情危机响应决策方法[J]. 中国管理科学, 2021, 29(1): 207-216.
[6]	赵萌, 张晨曦, 胡亦奇, 李刚. 基于愿景满意度函数的多属性群决策方法[J]. 中国管理科学, 2020, 28(2): 220-230.
[7]	缪秀梅, 陈烨天, 米传民. 基于ISM和在线评论的汤山温泉顾客满意度研究[J]. 中国管理科学, 2019, 27(7): 186-194.
[8]	张冉, 冉伦, 杜涛, 李金林. 考虑满意度的两阶段DEA固定成本分摊方法[J]. 中国管理科学, 2019, 27(2): 138-149.
[9]	任磊, 任明仑. 基于学习与协同效应的云制造任务动态双边匹模型[J]. 中国管理科学, 2018, 26(7): 63-70.
[10]	耿瑞, 朱建军, 王翯华, 刘小弟. 基于z标记的灰色GERT多任务项目费用优化研究[J]. 中国管理科学, 2017, 25(4): 133-142.
[11]	刘小弟, 朱建军, 张世涛, 刘思峰. 基于后悔理论与群体满意度的犹豫模糊随机多属性决策方法[J]. 中国管理科学, 2017, 25(10): 171-178.
[12]	陈文晶, 张红娜, 万岩, 时勘. 网络环境下顾客忠诚的形成机制研究[J]. 中国管理科学, 2015, 23(7): 127-133.
[13]	刘健, 刘思峰, 马义中, 汪建均. 基于心理阈值的多属性决策问题目标调整研究[J]. 中国管理科学, 2015, 23(2): 123-130.
[14]	樊治平, 李铭洋, 乐琦. 考虑稳定匹配条件的双边满意匹配决策方法[J]. 中国管理科学, 2014, 22(4): 112-118.
[15]	袁媛, 樊治平, 刘洋. 突发事件应急救援人员的派遣模型研究[J]. 中国管理科学, 2013, (2): 152-160.