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基于多属性效用理论的群体决策偏好整合研究 被引量:6

Study on Group Decision Preference Integration of Multi-attribute Utility Theory
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摘要 文章基于多属性效用理论构建群体决策偏好整合模型并进行实证研究。模型针对决策者对于偏好的差异程度和在意程度,利用各方案之间效用的差异系数和偏差系数作为群体决策偏好整合的系数;针对决策者对于方案的偏好顺序,把方案偏好顺序的系数作为群体决策偏好整合的系数,然后将两阶段的系数进行整合,得到的效用值作为群体决策偏好整合的结果。 Based on the multi-attribute utility theory (MAUT), this paper constructs a group decision-making preference in- tegration model and conducts empirical studies. The model aims at the difference of the decision-makers' preference and the at- tention degree, and uses the utility diversity factor and deviation factor of each scheme as the coefficient of group decision-making preference integration. Aiming at the decision makers' preference sequence for schemes, the paper takes the factor of scheme preference sequence as the integration factor of group decision-making preference, and then integrates the factors of the two stages and uses the obtained utility value as the integration result of group decision-making preference.
作者 赵九茹 李心广 李霞 Zhao Jiuru Li Xinguang Li Xia(a. Laboratory of Language Engineering and Computin b.Guangdong Institute for International Strategie c. Center for European Research, Guangdong University of Foreign Studies, Guangzhou 510006, Chin)
出处 《统计与决策》 CSSCI 北大核心 2017年第21期42-46,共5页 Statistics & Decision
基金 国家自然科学基金资助项目(61402119) 广东省自然科学基金资助项目(2014A030313576) 广东省教育厅项目(2015KQNCX038)
关键词 多属性效用理论 简单加权法 群体决策 多属性准则 multi-attribute utility theory simple additive weighting group decision making multi-attribute criteria
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  • 1杨雷,席酉民.群体决策的权力与权力指数[J].系统工程,1996,14(2):10-14. 被引量:17
  • 2Chris Rygielski, Jyun-Cheng Wang. Data mining techniques for customer relationship management [J]. Technology in Society, 2002, 24:483-502.
  • 3Michael J Shaw, Michael E Welge. Knowledge management and data mining for marketing[J]. Decision Support Systems, 2001, 31:127-137.
  • 4Thompson S H Teo, Yon Ding Yeong. Assessing the consumer decision process in the digital marketplace[J]. Omega, 2003, 31:349-363.
  • 5George M Zinkhan, Karin Braunsberger. The complexity of consumers' cognitive structures and its relevance to consumer behavior [J]. Journal of Business Research, 2004, 57:575-582.
  • 6Alexandru M Degeratu, Arvind Rangaswamy. Consumer choice behavior in online and traditional supermarkets [J]. Research in Marketing, 2000, 17: 55- 78.
  • 7Joe Peppard. Consumer purchasing on the internet: Processes and prospects [J]. European Management Journal, 1998, 16(5):600-610.
  • 8Nikolaos F Matsatsinis, Andreas P Samaras. Brand ehoice model selection based on consumers' multieriteria preferences and experts' knowledge [J]. Computers & Operations Research, 2000, 27 : 689-707.
  • 9Ziqi Liaoa, Michael Tow Cheungb. Internet-based eshopping and consumer attitudes: an empirical study [J]. Information & Management, 2001, 38: 299- 306.
  • 10Alok Gupta, Bo-chiuan Su. Risk profile and consumer shopping behavior in electronic and traditional channels [J]. Decision Support Systems, 2004, 38: 347-367.

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