| 基于二元联系数的区间直觉模糊数多准则决策方法 |
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| 引用本文： | 江文奇,王晨晨,尚优,钟晓芳.基于二元联系数的区间直觉模糊数多准则决策方法[J].控制与决策,2017,32(10):1849-1854. |
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| 作者姓名： | 江文奇 王晨晨 尚优 钟晓芳 |
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| 作者单位： | 南京理工大学经济管理学院,南京210094,南京理工大学经济管理学院,南京210094,南京理工大学经济管理学院,南京210094,南京理工大学经济管理学院,南京210094 |
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| 基金项目： | 国家自然科学基金项目(71271116)；国家社科基金重大项目(15ZDA053)；南京理工大学自主科研项目(30916011331)；南京理工大学经济管理学院预研基金项目(JGQN1602). |
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| 摘 要： | 针对准则值为区间直觉模糊数且准则权重为区间数的多准则决策问题,提出一种基于二元联系数的区间直觉模糊型多准则决策方法.首先,介绍区间直觉模糊数和二元联系数;其次,研究区间数转化为联系数、二元联系数转化为实数的3种转化方法,对传统区间数和二元联系数的运算结果进行比较;再次,将区间型贴近度转化为基于二元联系数的实数进行方案优选;最后,运用算例表明所提出方法的优越性和可行性.
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| 关 键 词： | 多准则决策 区间直觉模糊数 二元联系数 理想点法 |
Method of interval-valued intuitionistic fuzzy multiple attribute decision making based on binary connection number |
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| JIANG Wen-qi,WANG Chen-chen,SHANG You and ZHONG Xiao-fang.Method of interval-valued intuitionistic fuzzy multiple attribute decision making based on binary connection number[J].Control and Decision,2017,32(10):1849-1854. |
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| Authors: | JIANG Wen-qi WANG Chen-chen SHANG You and ZHONG Xiao-fang |
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| Affiliation: | School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China,School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China,School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China and School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China |
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| Abstract: | According to the multiple criteria decision problems in which criteria values are interval valued intuitionistic fuzzy number and criteria weights are interval numbers, a method with interval valued intuitionistic fuzzy number based on binary connection number is proposed. Firstly, the interval valued intuitionistic fuzzy number and the binary connection number are depicted. Secondly, the transformation methods of connection number into binary connection number and binary connection number into real number are studied, and the differences between traditional interval number and binary connection number are compared. Thirdly, decision alternatives are selected by transforming the interval close degree of conversion into the binary connection number are compaved. Finally, a numerical example is given to illustrate the superiority and feasibility of the proposed method. |
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