[1]周丹晨.采用粒计算的属性权重确定方法[J].智能系统学报,2015,10(2):273-280.[doi:10.3969/j.issn.1673-4785.201312008]
ZHOU Danchen.A method for ascertaining the weight of attributes based on granular computing[J].CAAI Transactions on Intelligent Systems,2015,10(2):273-280.[doi:10.3969/j.issn.1673-4785.201312008]
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ZHOU Danchen.A method for ascertaining the weight of attributes based on granular computing[J].CAAI Transactions on Intelligent Systems,2015,10(2):273-280.[doi:10.3969/j.issn.1673-4785.201312008]
采用粒计算的属性权重确定方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
10
期数:
2015年第2期
页码:
273-280
栏目:
学术论文—知识工程
出版日期:
2015-04-25
- Title:
- A method for ascertaining the weight of attributes based on granular computing
- Keywords:
- attributes weight; granular computing; fuzzy quotient space; rough set; multi-attribute decision making
- 分类号:
- TP18
- 文献标志码:
- A
- 摘要:
- 针对属性值为连续值且无单一决策属性的多属性决策问题,通过宏观和微观的粒计算理论模型的对比分析,提出了一种融合模糊商空间理论和粗糙集理论的属性权重确定方法。首先通过应用模糊商空间理论构建具有分层递阶结构的商空间族,将一系列粒度商空间的样本聚类结果作为相应粒度空间下单一决策属性的分类,然后采用粗糙集理论计算得出所有商空间下各个属性的重要度,综合不同粗细粒度商空间下的属性重要度大小确定了各属性的客观权重。应用实例验证了该方法的合理性、有效性和实用性。
- Abstract:
- Aiming at multi-attribute decision making problem without single decision attribute in which the attribute values are in the forms of continuous numbers, a method for ascertaining attributes weight based on fusion of fuzzy quotient spaces theory and rough sets theory is put forward through comparison and analysis of the macrocosmic and microcosmic theoretical models of granular computing. Firstly, the quotient space family with hierarchical structure was established by applying fuzzy quotient spaces theory. The sample clustering resulted in a series of granular quotient spaces were used as classification of single decision attribute in corresponding granular space. Furthermore, the significances of every attribute in all quotient spaces were calculated by applying rough sets theory. Finally, objective attributes weight was ascertained by integrating the significances of every attribute in different granular quotient spaces. The application case showed that the proposed method is reasonable, effective and practical.
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备注/Memo
收稿日期:2013-12-9;改回日期:。
基金项目:中国工程物理研究院科学技术发展基金资助项目(2013B0203031).
作者简介:周丹晨,男,1969年生,高级工程师,博士,主要研究方向为人工智能、数字化设计与制造,发表学术论文50余篇,其中被SCI、EI检索20余篇。
通讯作者:周丹晨.E-mail:zdc69@163.com.
更新日期/Last Update:
2015-06-15