Hybrid Reduction in Soft Set Decision Making

Mohd Rose, Ahmad Nazari and Awang, Mohd Isa and Hassan, Hasni and Zakaria @ Mohamad, Aznida Hayati (2011) Hybrid Reduction in Soft Set Decision Making. In: Advanced Intelligent Computing. Lecture Notes in Computer Science, 6838 . Springer Verlag, Berlin Heidelberg, pp. 108-115. ISBN 978-3-642-24727-9

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Abstract

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: Book Section
Additional Information: Series ISSN: 0302-9743, Book Subtitle: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Ahmad Nazari Mohd Rose
Date Deposited: 20 May 2014 08:32
Last Modified: 20 May 2014 08:32
URI: http://erep.unisza.edu.my/id/eprint/704

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