[1]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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A method for ascertaining the weight of attributes based on granular computing

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 2 Page number: 273-280 Column: 学术论文—知识工程 Public date: 2015-04-25
Title:
A method for ascertaining the weight of attributes based on granular computing
Author(s):
ZHOU Danchen
Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang 621900, China
Keywords:
attributes weight; granular computing; fuzzy quotient space; rough set; multi-attribute decision making
CLC:
TP18
DOI:
10.3969/j.issn.1673-4785.201312008
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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