| 基于k-可加模糊测度的变权多属性决策分析 |
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| 引用本文： | 章玲,周德群,张佳春.基于k-可加模糊测度的变权多属性决策分析[J].应用科学学报,2007,25(4):402-406. |
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| 作者姓名： | 章玲 周德群 张佳春 |
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| 作者单位： | 1. 南京航空航天大学 经济与管理学院,江苏 南京 210016；
2. 上海大学 教务处,上海 200444 |
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| 基金项目： | 国家自然科学基金;高等学校博士学科点专项科研项目;国家软科学基金 |
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| 摘 要： | k-可加模糊测度具有很好的柔性,本文采用k-可加模糊测度对基于关联的变权多属性决策(Multi-Criteria Decision Making, MCDM)中属性和属性集的重要程度建模；依据模糊测度理论和属性间独立情形下的变权理论定义基于k-可加模糊测度的变权和状态变权的公理体系；依据Marichal熵理论讨论基于关联的变权MCDM问题的k-可加模糊测度的求解,依据模糊积分计算决策方案的综合评价值,以此对方案进行排序并选择最优方案；最后以某煤炭企业选择接替资源为例验证了理论和模型的合理性和可行性.
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| 关 键 词： | 基于关联的多属性决策分析 k-可加模糊测度 Marichal熵 模糊积分 变权向量 状态变权向量 |
| 文章编号： | 0255-8297（2007）04-0402-05 |
| 收稿时间： | 2006-08-16 |
| 修稿时间： | 2006-08-162007-03-05 |
Multi-criteria Decision Making Based on Variable Weights and k-Additive Fuzzy Measures |
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| ZHANG Ling,ZHOU De-qun,ZHANG Jia-chun.Multi-criteria Decision Making Based on Variable Weights and k-Additive Fuzzy Measures[J].Journal of Applied Sciences,2007,25(4):402-406. |
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| Authors: | ZHANG Ling ZHOU De-qun ZHANG Jia-chun |
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| Institution: | 1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Academic Administration Office, Shanghai University, Shanghai 200444, China |
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| Abstract: | As k-additive fuzzy measures are flexible,the importance of decisionmaking criteria and their coalitions are modelled by k-additive fuzzy measures for the multi-criteria decision-making(MCDM) problems with interaction.The axiomatic system of variable weight and local state variable weight are introduced based on the k-additive fuzzy measures and the existing theories of variable weight.Determination of k-additive fuzzy measures for criteria and their coalitions are discussed based on Marichal entropy.Synthetical values of alternatives are calculated by fuzzy integrals.Finally,an example of selecting the succeed resource for coal enterprice is given to show that the theory and the method are reasonable and feasible. |
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| Keywords: | multi-criteria decision making with interaction k-additive fuzzy measures Marichal entropy fuzzy integrals variable weight vector local state variable weight vector |
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