원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.2
2015.02
pp.321-332
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Soft set theory proposed by Molodtsov is a new mathematical tool for dealing with the uncertain data. Soft set-based dimensionality reduction can be considered as a technique for feature selection. In this paper, we present an alternative technique for feature selection of traditional Malay musical instrument sounds dataset. The technique is based on matrices computation of multi-soft sets for dimensionality reduction. The dataset is taken from our previous work which consists of 1116 instances and 37 attributes of Malay Musical Instrument Sounds Dataset. The result shows that the obtained features of proposed technique are 35 out of 37 features.
목차
Abstract
1. Introduction
2. Soft Set Theory
2.1. Information System
2.2. Soft Set
3. Method and Main Result
3.1. Multi-soft Sets
3.2. Decomposition of a Multi-valued Information System
3.3. Multi-soft Sets Construction
3.4. Matrices Representation of Multi-Soft Sets
3.5. AND and OR Operations in a Collection of Matrices
3.6. Reduction Method
3.7. Dataset
3.8. Result and Discussion
4. Conclusion
Acknowledgement
References
1. Introduction
2. Soft Set Theory
2.1. Information System
2.2. Soft Set
3. Method and Main Result
3.1. Multi-soft Sets
3.2. Decomposition of a Multi-valued Information System
3.3. Multi-soft Sets Construction
3.4. Matrices Representation of Multi-Soft Sets
3.5. AND and OR Operations in a Collection of Matrices
3.6. Reduction Method
3.7. Dataset
3.8. Result and Discussion
4. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보