[1]赵克勤.基于集对分析的不确定性多属性决策模型与算法[J].智能系统学报,2010,5(1):41-50.
ZHAO Ke-qin.Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes[J].CAAI Transactions on Intelligent Systems,2010,5(1):41-50.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
5
期数:
2010年第1期
页码:
41-50
栏目:
学术论文—人工智能基础
出版日期:
2010-02-25
- Title:
-
Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes
- 文章编号:
-
1673-4785(2010)01-0041-10
- 作者:
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赵克勤
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诸暨市联系数学研究所,浙江 诸暨 311811
- Author(s):
-
ZHAO Ke-qin
-
Institute of Zhuji Connection Number, Zhuji 311811, China
-
- 关键词:
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不确定性; 多属性决策; 模糊数; 联系数; 集对分析
- Keywords:
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uncertainty; multiple attribute decision making; fuzzy number; connection number; set pair analysis
- 分类号:
-
TP18
- 文献标志码:
-
A
- 摘要:
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针对不确定性多属性决策问题,提出统计学中的样本特征参数均值和方差也是模糊数(区间数、三角模糊数、梯形模糊数)特征参数的理论,并用联系数A+Bi表示“均值+方差”,再根据集对分析中的联系数理论计算“均值+方差”的“模”,用这种“模”代表属性权重和属性值进行不确定性多属性决策,简便实用;利用“均值+方差”联系数中i的不同取值可以考察不确定性对排序的影响.应用实例表明该理论是有效和可行的.
- Abstract:
-
To help those making decisions when faced with multiple uncertainties, a theory was put forward that in statistics, the average and variance of characteristic parameters of a sample have the characteristic parameters of a fuzzy number. This includes interval number, triangular fuzzy number , and trapezoidal fuzzy number. Average + variance was shown as a connection number A+Bi .The modular of average + variance was then calculated according to connection number theory in set pair analysis. The module, representing the weight and value of attributes, can be employed to help make decisions when there are multiple uncertain attributes. The method is simple and practical. Taking various values of i, the effect of uncertainty on sorting can be determined. Practical examples were used to demonstrate the feasibility and effectiveness of the proposed theory.
更新日期/Last Update:
2010-04-06