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考虑决策者风险偏好的区间直觉模糊多属性群决策方法

赵萌 秦松松 谢佳恒 张奉冰 李刚

运筹与管理2018,Vol.27Issue(1):7-16,10.
运筹与管理2018,Vol.27Issue(1):7-16,10.DOI:10.12005/orms.2018.0002

考虑决策者风险偏好的区间直觉模糊多属性群决策方法

Interval-valued Intuitionistic Fuzzy Multi-attribute Group Decision Making Considering Risk Preference of Decision Maker

赵萌 1秦松松 2谢佳恒 2张奉冰 2李刚2

作者信息

  • 1. 东北大学 工商管理学院,辽宁 沈阳110819
  • 2. 东北大学 秦皇岛分校,河北 秦皇岛066004
  • 折叠

摘要

Abstract

This paper proposes a new Atanassov's interval-valued intuitionistic fuzzy values(AIVIFVs)multiple attribute group decision making(MAGDM)method considering the risk preference of decision makers with incom-plete attribute weight information.We determine the weight of each decision maker(DM)with regard to each attribute by taking into account the similarity degree and proximity degree simultaneously.Next, given the fact that the risk preference of decision makers can have an effect on decision making results and prevent an AIVIF matrix from being weighted for lots of times,we transform the AIVIFV collective decision matrix into an interval value matrix by the risk preference coefficient of DMs.In addition, in order to determine the attribute weights objectively,we establish a interval-valued intuitionistic fuzzy values programming model based on cross entropy. Furthermore,we rank all the alternatives by the comprehensive interval values of alternatives.At last, to illus-trate the detailed process of the new method proposed in this paper,we take a research and development project selection problem for example.And by comparison analysis, it can be proved that the proposed method in this paper is superior to the existing methods.

关键词

多属性群决策/区间直觉模糊集/决策者风险偏好/不完全属性权重信息/交叉熵

Key words

multiple attribute group decision-making/atanassov's interval-valued Intuitionistic fuzzy set/risk preference/incomplete attribute weight information/cross entropy

分类

管理科学

引用本文复制引用

赵萌,秦松松,谢佳恒,张奉冰,李刚..考虑决策者风险偏好的区间直觉模糊多属性群决策方法[J].运筹与管理,2018,27(1):7-16,10.

基金项目

国家自然科学基金青年基金项目(71701037,71601041) (71701037,71601041)

运筹与管理

OA北大核心CHSSCDCSCDCSSCICSTPCD

1007-3221

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