UTHM Institutional Repository

Hybrid reduction in soft set decision making

Mohd Rose, Ahmad Nazari and Awang, Mohd Isa and Hassan, Hasni and Zakaria, Aznida Hayati and Herawan, Tutut and Mat Deris, Mustafa (2011) Hybrid reduction in soft set decision making. In: ICIC'11: Proceedings of the 7th international conference on Advanced Intelligent Computing, 11-14 August 2011, Zhengzhou, China. (Unpublished)

Full text not available from this repository.


In this paper, we present an extended technique of decision making by implementing column reduction with reduction based on calculated maximal support objects. Using a Boolean valued information system, certain rows or objects can be defined as ultimate maximum support object, ultimate minimum support object and zero significance parameter. One can then reduce a table by eliminating the defined row or objects in what has been defined as hybrid reduction. As part of our paper, we have managed to show that our proposed model of hybrid reduction yielded a better data size reduction whilst still maintaining consistent results.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Boolean-valued information system; decision making; hybrid reduction; maximal supported set; soft set theory
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Depositing User: Normajihan Abd. Rahman
Date Deposited: 13 Aug 2018 03:42
Last Modified: 13 Aug 2018 03:42
URI: http://eprints.uthm.edu.my/id/eprint/3753
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item