[1] Xu Zeshui,. Multiple attribute decision makingbased on different types of linguistic information [J]. Journal of Southeast University (English Edition), 2006, 22 (1): 134-136. [doi:10.3969/j.issn.1003-7985.2006.01.029]
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Multiple attribute decision makingbased on different types of linguistic information(
)
不同类型语言信息下的多属性决策
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 22
- Issue:
- 2006 1
- Page:
- 134-136
- Research Field:
- Economy and Management
- Publishing date:
- 2006-03-20
Info
- Title:
- Multiple attribute decision makingbased on different types of linguistic information
- 不同类型语言信息下的多属性决策
- Author(s):
- Xu Zeshui
- College of Economics and Management, Southeast University, Nanjing 210096, China
Institute of Sciences, PLA University of Science and Technology, Nanjing 210007, China
- 徐泽水
- 东南大学经济管理学院, 南京 210096; 解放军理工大学理学院, 南京 210007
- Keywords:
- multiple attribute decision making; linguistic ideal solution; distance measure; linguistic variable
- PACS:
- C934
- DOI:
- 10.3969/j.issn.1003-7985.2006.01.029
- Abstract:
- Distance measures between exact linguistic variables and between uncertain linguistic variables are introduced respectively. Based on exact linguistic variables and uncertain linguistic variables, the concepts of positive linguistic ideal solution and negative linguistic ideal solution of attribute values are defined. To rank and select alternatives, based on the distance measures of two types of linguistic variables and the linguistic ideal solutions, a method for multiple attribute decision making with different types of linguistic information is proposed, by which all alternatives can be ranked. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision result reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a numerical example.
- 介绍了精确语言变量和不确定语言变量的距离测度, 并且基于精确语言变量和不确定语言变量, 给出了属性值的正语言理想解和负语言理想解的概念. 为了对决策方案进行排序和择优, 基于2种语言变量的距离测度和语言理想解, 提出了一种不同类型语言信息下的多属性决策方法. 该方法不仅易于对语言变量进行计算, 而且在求解过程中不会丢失任何语言决策信息, 从而保证了决策结果的合理性和有效性. 最后, 利用算例对方法的运算过程进行了具体分析和说明.
References:
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Memo
- Memo:
- Biography: Xu Zeshui(1968—), male, doctor, professor, xu-zeshui@263.net.