In this paper, we focus our discussion on the parameterization reduction of soft sets and its applications. First we point out that the results of soft set reductions offered in [1] are incorrect. We also observe that the algorithms used to first compute the reduct-soft-set and then to compute the c
The normal parameter reduction of soft sets and its algorithm
โ Scribed by Zhi Kong; Liqun Gao; Lifu Wang; Steven Li
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 590 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
a b s t r a c t
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems of suboptimal choice and added parameter set of soft sets are analyzed. Then, we introduce the definition of normal parameter reduction in soft sets to overcome these problems. In addition, a heuristic algorithm of normal parameter reduction is presented. Two new definitions, parameter important degree and decision partition, are proposed for analyzing the algorithm of normal parameter reduction. Furthermore, the normal parameter reduction is also investigated in fuzzy soft sets.
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