突破性创新研发联盟伙伴选择的模糊识别模型  

Fuzzy Identification Model for R&D Alliance Partner Selection of Disruptive Innovation

作　　者：孙圣兰[1] 陈雯[2] 

机构地区：[1]广东药学院医药商学院,广东广州510006 [2]中国石油天然气集团公司装备制造分公司,北京100007

出　　处：《数学的实践与认识》2013年第24期25-32,共8页Mathematics in Practice and Theory

基　　金：广东药学院人文思政研究专项课题资助(RWSZ201215)

摘　　要：突破性技术创新已经成为一国经济持续发展的主要动力.在突破性技术创新过程中,研发联盟伙伴选择的成功与否,直接会影响到突破性技术创新成败.本文将TOPSIS方法应用到突破性技术创新研发联盟伙伴选择过程中,并考虑到决策者对评价指标权重的不同,依据贴近度的公理化定义对TOPSIS方法进行了改进,并构造出了"相对"贴近度,以此来折衷地衡量研发联盟合作伙伴的优劣.Disruptive technology innovation has become the main driving force for sustainable economic development of a country. During the process of disruptive technology innovation, the partner selection of R ＆： D alliance is directly related to its effectiveness and success. In this paper, the author applied the TOPSIS method to the R ＆ D alliance partner selection process, and considered the preference of the decision maker. Then, the author converted an absolute closeness degree into a relative closeness degree according to the concept of TOPSIS to measure the advantage and disadvantage of the R ＆： D alliance partners.

关 键 词：突破性技术创新 伙伴选择 模糊识别 

分 类 号：C93[经济管理—管理学] F224