运筹与管理Issue(3)：21-29,9.
区间信度环境下基于偏好熵的随机格序排列方法
Approach for Random Lattice Order Ranking Based on Preference Entropy Under Interval Belief Degree Circumstance
摘要
Abstract
A method of random lattice order decision analysis based on interval-valued distribution preference vec-tor by entropy theory is proposed, focused on decision preference system with preference relations ’ belief degree described by interval-value.First, the preference characterization of decision makers is extended from four varie-ty relations to seven variety preference relations , combined with the concept and property of interval evidence , the concept and property of interval-valued distribution preference vector and relative entropy on the lattice order preference system are given.Then the ER nonlinear optimization model based on preference entropy is estab-lished, the individual preferences are aggregated by applying the priority rules and intersection rule , and the spe-cific steps of the decision making are qiven .The feasibility and effectiveness of the approach proposed in this paper are illustrated with a numerical example .关键词
群决策/格序偏好/区间信度/偏好熵/非线性优化模型Key words
group decision-making/lattice order preference/interval belief degree/preference entropy/nonlin-ear optimization分类
管理科学引用本文复制引用
郭春香,龚浩,郭耀煌..区间信度环境下基于偏好熵的随机格序排列方法[J].运筹与管理,2013,(3):21-29,9.基金项目
国家自然科学基金资助项目 （）
