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Adaptive Neuro-Fuzzy Inference System for generating scenarios in business strategic planning

Moayer, S., Bahri, P.A. and Nooraii, A. (2007) Adaptive Neuro-Fuzzy Inference System for generating scenarios in business strategic planning. In: IEEE International Conference on Systems, Man and Cybernetics, 7 - 10 October, Montreal pp. 109-114.

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    Link to Published Version: http://dx.doi.org/10.1109/ICSMC.2007.4413586
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    Abstract

    The aim of this study is to investigate a new method for generating scenarios in order to cope with the data shortage and linguistic expression of an expert in scenario planning. This study incorporates the concepts of neural network and fuzzy logic. The proposed methodology includes: (1) defining the scope and internal and external variables (2) determining rules from experts (3) preparing ANFIS system and (4) generating probable scenarios based on training algorithm. Following this structure, it is possible to generate the feasible scenarios with their associated degree of probabilities. The applicability of the proposed method has been tested against a case study.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Engineering and Energy
    Publisher: IEEE
    Copyright: © 2007 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007; Montreal, QC; 7 October 2007 through 10 October 2007; Code 71583 pp 109-114
    URI: http://researchrepository.murdoch.edu.au/id/eprint/1918
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