Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection

Shivam Shreevastava, Anoop Kumar Tiwari and Tanmoy Som
Additional contact information
Shivam Shreevastava: Indian Institute of Technology, Banaras Hindu University, Varanasi, India
Anoop Kumar Tiwari: Institute of Science, Banaras Hindu University, Varanasi, India
Tanmoy Som: Indian Institute of Technology, Banaras Hindu University, Varanasi, India

International Journal of Fuzzy System Applications (IJFSA), 2018, vol. 7, issue 2, 75-84

Abstract: Feature selection is one of the widely used pre-processing techniques to deal with large data sets. In this context, rough set theory has been successfully implemented for feature selection of discrete data set but in case of continuous data set it requires discretization, which may cause information loss. Fuzzy rough set theory approaches have also been used successfully to resolve this issue as it can handle continuous data directly. Moreover, almost all feature selection techniques are used to handle homogeneous data set. In this article, the center of attraction is on heterogeneous feature subset reduction. A novel intuitionistic fuzzy neighborhood models have been proposed by combining intuitionistic fuzzy sets and neighborhood rough set models by taking an appropriate pair of lower and upper approximations and generalize it for feature selection, supported with theory and its validation. An appropriate algorithm along with application to a data set has been added.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJFSA.2018040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:7:y:2018:i:2:p:75-84

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().