{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:17:51Z","timestamp":1781104671170,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10,1]]},"abstract":"<p>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\u2013fuzzy 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.<\/p>","DOI":"10.4018\/ijaec.2016100102","type":"journal-article","created":{"date-parts":[[2017,1,30]],"date-time":"2017-01-30T10:58:11Z","timestamp":1485773891000},"page":"28-44","source":"Crossref","is-referenced-by-count":36,"title":["Review on Feature Selection and Classification using Neuro-Fuzzy Approaches"],"prefix":"10.4018","volume":"7","author":[{"given":"Saroj","family":"Biswas","sequence":"first","affiliation":[{"name":"Computer Science and Engineering Department, National Institute of Technology Silchar, Silchar, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monali","family":"Bordoloi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, National Institute of Technology Silchar, Silchar, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Biswajit","family":"Purkayastha","sequence":"additional","affiliation":[{"name":"National Institute of Technology Silchar, Silchar, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Applied Evolutionary Computation"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=176693","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:23:25Z","timestamp":1654107805000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJAEC.2016100102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,10,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijaec.2016100102","relation":{},"ISSN":["1942-3594","1942-3608"],"issn-type":[{"value":"1942-3594","type":"print"},{"value":"1942-3608","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,1]]}}}