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An intelligent business forecaster for strategic business planning
Author(s) -
Li Xiang,
Ang ChengLeong,
Gray Robert
Publication year - 1999
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/(sici)1099-131x(199905)18:3<181::aid-for712>3.0.co;2-3
Subject(s) - computer science , artificial neural network , fuzzy logic , artificial intelligence , adaptive neuro fuzzy inference system , business rule , inference , business intelligence , intelligent decision support system , operations research , machine learning , fuzzy control system , data mining , business process , economics , operations management , engineering , work in process
In this paper an intelligent business forecaster for strategic business planning is presented. The forecaster is basically a multi‐layered fuzzy rule‐based neural network which integrates the basic elements and functions of a traditional fuzzy logic inference into a neural network structure. It has also been shown to be superior to two commercially available business forecasters in terms of learning speed and forecasting accuracy. This paper presents the architectural design of the intelligent business forecaster and the results of a study that has been carried out to compare its performance with that of the others. Copyright © 1999 John Wiley & Sons, Ltd.