DOI : https://doi.org/10.18517/ijaseit.7.3.1610

Achieving Efficient Decision Making Through Hybrid Reduction in Soft Set Theory

Ahmad Nazari Mohd Rose (1), Mohd Isa Awang (2), Fadhilah Ahmad (3), Nurnadiah Zamri (4), Mohamad Afendee Mohamed (5), Mustafa Mat Deris (6)
(1) Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut, Terengganu, Malaysia
(2) Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut, Terengganu, Malaysia
(3) Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut, Terengganu, Malaysia
(4) Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut, Terengganu, Malaysia
(5) Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut, Terengganu, Malaysia
(6) Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
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How to cite (IJASEIT) :
Mohd Rose, Ahmad Nazari, et al. “Achieving Efficient Decision Making Through Hybrid Reduction in Soft Set Theory”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 3, June 2017, pp. 1032-7, doi:10.18517/ijaseit.7.3.1610.
Citation Format :
The main intention of proposing an alternative technique is to ensure consistency is been upheld besides successfully reducing the file. Of all the reduction techniques available currently, only normal parameter reduction has managed to address the issue of consistency at optimal and suboptimal level. In this paper, we initiated another form of reduction known as hybrid reduction by complementing the normal parameter reduction with object reduction. It has already demonstrated that the proposed hybrid reduction has successfully reduced data by 55% with the sample used, thus proving that it as a good alternative for the process of decision making using less amount of data.

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