指标相关且信息模糊的合作创新伙伴选择方法  

Selection Method of Cooperative Innovation Partners with Dependent Attributes and Fuzzy Information

作　　者：杨洁[1] 李登峰[2] YANG Jie LI Deng-feng(College of Management, Fujian Agriculture and Forestry University, Fuzhou 350002 School of Economics and Management, Fuzhou University Fuzhou 350116, China)

机构地区：[1]福建农林大学,福建福州350002 [2]福州大学管理学院,福建福州350116

出　　处：《运筹与管理》2016年第5期53-58,共6页Operations Research and Management Science

基　　金：国家自然科学基金重点项目(71231003);国家自然科学基金资助项目(71171055);高等学校博士学科点专项科研基金资助课题(20113514110009);教育部新世纪优秀人才支持计划(NCET-10-0020)

摘　　要：合作创新是快速提升企业创新能力的有效途径,合作伙伴选择的恰当与否直接影响合作创新绩效。通过对合作创新伙伴选择的影响因素分析,将其归结为是一类指标相关且信息模糊的多指标决策问题,并针对性地提出了一种基于Choquet积分的直觉模糊集的优劣势排序群体决策方法对合作伙伴进行选择。该方法先基于模糊相关指标构建评价方案的优势矩阵和劣势矩阵,再结合决策者权重的不确定信息构建相应的全局优势度和劣势度,由此得到合作伙伴的综合排序。最后通过实例说明方法的可行性和有效性。Cooperative innovation is an effective way to enhance the innovation ability of the enterprises, and partner selection directly influences the cooperative innovation performance. Based on the study of the factors in cooperative innovation partner selection, the partner selection is attributed to multiple attribute decision making with the attributes values are fuzzy and not independent. So puts forward a Choquet integral based superiority and inferiority ranking group decision making under intuitionistic fuzzy environment. The proposed method construct the superiority and inferiority matrix first, and then gain the global superiority index and global inferiority index by using incomplete information of experts＇ weights, so get the best partners. At last an example shows the feasi- bility and effectiveness of the method.

关 键 词：多指标决策 合作创新 伙伴选择 直觉模糊集 CHOQUET积分 

分 类 号：O159[理学—数学]