Review on Feature Selection and Classification using Neuro-Fuzzy Approaches

Saroj Biswas, Monali Bordoloi and Biswajit Purkayastha
Additional contact information
Saroj Biswas: Computer Science and Engineering Department, National Institute of Technology Silchar, Silchar, India
Monali Bordoloi: Computer Science and Engineering Department, National Institute of Technology Silchar, Silchar, India
Biswajit Purkayastha: National Institute of Technology Silchar, Silchar, India

International Journal of Applied Evolutionary Computation (IJAEC), 2016, vol. 7, issue 4, 28-44

Abstract: This research article attempts to provide a recent survey on neuro-fuzzy approaches for feature selection and classification. Feature selection acts as a catalyst in reducing computation time and dimensionality, enhancing prediction performance or accuracy and curtailing irrelevant or redundant data. The neuro-fuzzy approach is used for feature selection and for providing some insight to the user about the symbolic knowledge embedded within the network. The neuro–fuzzy approach combines the merits of neural network and fuzzy logic to solve many complex machine learning problems. The objective of this article is to provide a generic introduction and a recent survey to neuro-fuzzy approaches for feature selection and classification in a wide area of machine learning problems. Some of the existing neuro-fuzzy models are also applied on standard datasets to demonstrate the applicability of neuro-fuzzy approaches.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2016100102 (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:jaec00:v:7:y:2016:i:4:p:28-44

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().