一种运用软集方法构建的技术创新评价模型研究
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摘要
技术创新中固有的决策方法并没有考虑到多人决策中不同决策者观点的差异.在技术创新的决策中引入软集uni-int多人决策方法,并从"双人决策"向多人决策推广,将软集uni-int多人决策方法应用于技术创新的决策环节,实现多人决策的"共赢"结果.论文基于软集uni-int算法得到符合参数的评价集合,进而规避了决策者的分歧矛盾,得到满足不同决策者并涵盖大部分要素的"集成"评价结果.这一研究成果不仅丰富了我国技术创新的理论成果,同时也为业界技术创新的评价找到了一种更加合适的方法.
The inherent decision-making methods in technological innovation don't take into account the differences between the views of different decision-makers. In this paper, we introduce the "soft set uni-int decision" method in the decision-making of technological innovation, and promote to "multiplayer decision" from the "double decision".Using "soft set uni-int multiplayer decision" method in the decision-making process of technological innovation, we can achieve "win-win" results in "multiplayer decision". Based on the soft set uni-int algorithm, the evaluation set of the parameters is obtained, which avoids the divergent contradiction of the decision maker and obtains the "integration" evaluation result satisfying the different decision makers and covering most of the elements. The results of this research not only enrich the theoretical achievements of China's technological innovation, but also can find a more appropriate method of evaluation for the industry's technological innovation.
The inherent decision-making methods in technological innovation don't take into account the differences between the views of different decision-makers. In this paper, we introduce the "soft set uni-int decision" method in the decision-making of technological innovation, and promote to "multiplayer decision" from the "double decision".Using "soft set uni-int multiplayer decision" method in the decision-making process of technological innovation, we can achieve "win-win" results in "multiplayer decision". Based on the soft set uni-int algorithm, the evaluation set of the parameters is obtained, which avoids the divergent contradiction of the decision maker and obtains the "integration" evaluation result satisfying the different decision makers and covering most of the elements. The results of this research not only enrich the theoretical achievements of China's technological innovation, but also can find a more appropriate method of evaluation for the industry's technological innovation.
引文
[1]崔春生.基于TOPSIS思想的技术创新方案的Vague集评价方法及其应用[J].运筹与管理,2013(4):151-156.
[2]Molodtsov D.Soft set theory-first results[J].Computers&Mathematics with Applications:An International Journal,1999,37(4-5):19-31.
[3]Maji P,Roy A,Biswas R.An application of soft sets in a decision making problem[J].Computers and Mathematics With Applications Serial Online,2002,44(8/9):1077-1083.
[4]Roy A,Maji P.A fuzzy soft set theoretic approach to decision making problems[J].Journal Of Computational and Applied Mathematics Serial Online,2007,203(2):412-418.
[5]Aman N,Enginolu S.Soft set theory and uni-int decision making[J].European Journal of Operational Research,2010,207(2):848-855.
[6]Wilfred Dolfsma,DongBack Seo.Government policy and technological innovation-a suggested typology[J].Technovation:The International Journal of Technological Innovation,Entrepreneurship and Technology Management,2013,33(6-7):173-179.
[7]Chris W,Paul,Wm E,Souder,Niles C.Schoening et al.The influence of government policies on innovation and technological advance[J].Journal of Scientific&Industrial Research,1996,55(11):851-859.
[8]苗乾坤.基于软集理论的方案筛选与排序方法研究[D].东北大学,2012.
[9]缪彬.基于软集合理论的不确定性多属性决策方法研究[D].昆明理工大学,2014.
[10]朱爱红.基于粗集理论的中小企业技术创新能力评价研究[D].成都理工大学,2010.
[11]郁培丽,石俊国,窦姗姗,孙广生.技术创新、溢出效应与最优环境政策组合[J].运筹与管理,2014(05):237-242.'
[12]肖文,林高榜.政府支持、研发管理与技术创新效率——基于中国工业行业的实证分析[J].管理世界,2014(04):71-80.
[13]苟燕楠,董静.风险投资进入时机对企业技术创新的影响研究[J].中国软科学,2013(03):132-140.
[14]朱东华,张嶷,汪雪锋等.大数据环境下技术创新管理方法研究[J].科学学与科学技术管理,2013,3 34(4):172-180.
[15]罗亚非,李望月,张赤东.创新型企业技术创新评价指标的确立[J].科技管理研究,2011(11):35-38.
[16]崔春生.基于集团序方法的推荐系统输出[J].系统工程理论与实践,2013,33(7):1845-1851.
[17]孙雨晴,孙明贵.基于资源配置视角的多属性研发项目评价模型及应用[J].科技管理研究,2016(8):37-43.
[2]Molodtsov D.Soft set theory-first results[J].Computers&Mathematics with Applications:An International Journal,1999,37(4-5):19-31.
[3]Maji P,Roy A,Biswas R.An application of soft sets in a decision making problem[J].Computers and Mathematics With Applications Serial Online,2002,44(8/9):1077-1083.
[4]Roy A,Maji P.A fuzzy soft set theoretic approach to decision making problems[J].Journal Of Computational and Applied Mathematics Serial Online,2007,203(2):412-418.
[5]Aman N,Enginolu S.Soft set theory and uni-int decision making[J].European Journal of Operational Research,2010,207(2):848-855.
[6]Wilfred Dolfsma,DongBack Seo.Government policy and technological innovation-a suggested typology[J].Technovation:The International Journal of Technological Innovation,Entrepreneurship and Technology Management,2013,33(6-7):173-179.
[7]Chris W,Paul,Wm E,Souder,Niles C.Schoening et al.The influence of government policies on innovation and technological advance[J].Journal of Scientific&Industrial Research,1996,55(11):851-859.
[8]苗乾坤.基于软集理论的方案筛选与排序方法研究[D].东北大学,2012.
[9]缪彬.基于软集合理论的不确定性多属性决策方法研究[D].昆明理工大学,2014.
[10]朱爱红.基于粗集理论的中小企业技术创新能力评价研究[D].成都理工大学,2010.
[11]郁培丽,石俊国,窦姗姗,孙广生.技术创新、溢出效应与最优环境政策组合[J].运筹与管理,2014(05):237-242.'
[12]肖文,林高榜.政府支持、研发管理与技术创新效率——基于中国工业行业的实证分析[J].管理世界,2014(04):71-80.
[13]苟燕楠,董静.风险投资进入时机对企业技术创新的影响研究[J].中国软科学,2013(03):132-140.
[14]朱东华,张嶷,汪雪锋等.大数据环境下技术创新管理方法研究[J].科学学与科学技术管理,2013,3 34(4):172-180.
[15]罗亚非,李望月,张赤东.创新型企业技术创新评价指标的确立[J].科技管理研究,2011(11):35-38.
[16]崔春生.基于集团序方法的推荐系统输出[J].系统工程理论与实践,2013,33(7):1845-1851.
[17]孙雨晴,孙明贵.基于资源配置视角的多属性研发项目评价模型及应用[J].科技管理研究,2016(8):37-43.