Hybrid reduction in soft set decision making

  • Authors:
  • Ahmad Nazari Mohd Rose;Mohd Isa Awang;Hasni Hassan;Aznida Hayati Zakaria;Tutut Herawan;Mustafa Mat Deris

  • Affiliations:
  • FIT, Universiti Darul Iman Malaysia, Terengganu, Malaysia;FIT, Universiti Darul Iman Malaysia, Terengganu, Malaysia;FIT, Universiti Darul Iman Malaysia, Terengganu, Malaysia;FIT, Universiti Darul Iman Malaysia, Terengganu, Malaysia;FSKKP, Universiti Malysia Pahang, Pahang, Malaysia;FTMM, Universiti Tun Hussein OnnMalaysia, Johor, Malaysia

  • Venue:
  • ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
  • Year:
  • 2011

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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.