计算机工程与应用Issue(11)：22-26,30,6.DOI:10.3778/j.issn.1002-8331.1410-0050
基于投票排序的复杂系统ANP-BOCR群组决策新方法
New group decision approach of ANP-BOCR for complex sys-tems based on voting ranking
摘要
Abstract
Traditional ANP-BOCR method(i.e., sub-networks of Analytic Network Process(ANP)are constructed from the viewpoints of Benefits, Opportunities, Costs and Risks(BOCR)merits, respectively. Then, the composite priorities of alternatives under BOCR are finally synthesized), is regarded as an effective approach to deal with the issues of complex systems. However, first, the complex relation between these elements lying different BOCR sub-networks is ignored in tra-ditional ANP-BOCR method. Furthermore, when the priorities of alternatives are synthesized in ANP-BOCR, simple reductionism thinking cannot be avoided. Second, when group decisions are used, the method would lose some expert preference information, and all information of alternatives is asked to give. To overcome the aforementioned drawbacks, a new group decision method of ANP-BOCR is presented by using Data Envelopment Analysis(DEA)to vote ranking, based on a new ANP-BOCR analysis structure. In the new method, reductionism and holism thinking is well integrated. Also, information lossless is realized. Finally, the new method is validated to be feasible and can be widely applied in the real-world.关键词
网络分析法/收益,机会,成本,风险/群组决策/投票排序Key words
analytic network process/Benefits, Opportunities, Costs and Risks(BOCR)/group decision/voting ranking分类
自科综合引用本文复制引用
孙永河,段万春,许成磊,谢晖..基于投票排序的复杂系统ANP-BOCR群组决策新方法[J].计算机工程与应用,2015,(11):22-26,30,6.基金项目
国家自然科学基金（No.71261013，No.71263031）；教育部人文社会科学研究青年基金（No.10YJC630218）；云南省科技计划项目（No.2010ZC060）；云南省哲学社会科学创新团队支持项目（No.2014cx05）。 （）
