Title: Neuro-fuzzy approach in business applications: a decade survey

Authors: Sharifa Rajab; Vinod Sharma

Addresses: Department of Computer Science and IT, University of Jammu, Jammu and Kashmir, India ' Department of Computer Science and IT, University of Jammu, Jammu and Kashmir, India

Abstract: This paper presents a survey of the application-based research on neuro-fuzzy systems (NFS) in business on account of the research articles published in various reputed international journals and conferences during the last decade (2005-2014). The application of the NFS in different business domains has diversified enormously during this period and NFS has emerged as a dominant technique for addressing various research problems in various business domains. On the basis of an in-depth review of these research articles, we have identified finance, marketing, distribution, business planning, information systems, production and operations as the main business application domains of NFS during this period. The impact of NFS in different business domains and the trends in this application-based research are presented and discussed in this paper. For each of these years, this paper also explores the various innovations in NFS methodologies employed by the researchers to tackle different business problems. Further, the paper also includes some articles published during year 2015 in various international journals to present the recent developments in the research based on the application of NFS in various business domains.

Keywords: business forecasting; artificial intelligence; neuro-fuzzy systems; NFS; neural networks; human resource management; HRM; finance; fuzzy logic; information systems; business planning.

DOI: 10.1504/IJBIS.2017.087748

International Journal of Business Information Systems, 2017 Vol.26 No.4, pp.451 - 487

Received: 14 Mar 2016
Accepted: 11 Jun 2016

Published online: 01 Nov 2017 *

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