A framework of decision making based on maximal supported sets

Authors:
Ahmad Nazari Mohd Rose;Tutut Herawan;Mustafa Mat Deris
Affiliations:
Faculty of Informatics, Universiti Darul Iman Malaysia, Terengganu, Malaysia;Department of Mathematics Education, Universitas Ahmad Dahlan, Indonesia;FTMM, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

Citing 3
Cited 1

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Hybrid reduction in soft set decision making

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing

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Abstract

In this paper, we present an alternative technique of decision making through parameterization reduction by determining maximal supported sets from a Boolean-valued information system based soft set theory Based on such reduction, the maximal support will be calculated to determine the optimal choice It is shown that the technique is identical to normal parameter reduction from previous research on soft set for decision making While maximal support reduction is in fact has also provided consistency choices in decision making.