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DOI/Official URL: https://doi.org/10.1007/978-3-642-20505-7_19
Abstract
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the oriented-parameter sum, which can be carried out without parameter important degree and decision partition. We present some new related definitions and proved theorems of normal parameter reduction. The comparison result on a Boolean-valued dataset shows that, the proposed algorithm involves relatively less computation and is easier to implement and understand as compared with the soft set-based algorithm of normal parameter reduction.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Oriented-parameter sum; Soft sets; Reduction; Normal parameter reduction; Boolean-valued dataset |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 12 Dec 2019 06:31 |
| Last Modified: | 12 Dec 2019 06:31 |
| URI: | http://umpir.ump.edu.my/id/eprint/25567 |
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