Rough set approach to information systems with interval decision values in evaluation problems

被引:0
|
作者
Sugihara, Kazutomi [1 ]
Tanaka, Hideo [2 ]
机构
[1] Fukui Univ Technol, Dept Management Informat Sci, Fukui, Japan
[2] Hiroshima Int Univ, Dept Kansei Design, Fac Psychol Sci, Hiroshima, Japan
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this chapter, a new rough set approach to decision making problems is proposed. It, is assumed that, The evaluations given by a decision maker are interval values. That. is. we deal with the information system containing ambiguous decision expressed as interval values. By the approximations of the lower and upper bounds with respect to decision values, the approximations with interval decision values are illustrated in this chapter. The concept, of the proposed approach resembles the one of Interval Regression Analysis. Furthermore, we discuss the unnecessary, divisions between the decision values based on these bounds. The aim is to simplify IF-Then rules extracted from the information system. The method for removing the divisions is introduced using a numerical example.
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页码:261 / +
页数:3
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