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Uncertainty in business decisions and fuzzy games approach

Oderanti, Festus Oluseyi, De Wilde, Philippe, Li, Feng (2012) Uncertainty in business decisions and fuzzy games approach. In: 2012 12th UK Workshop on Computational Intelligence, UKCI. . IEEE ISBN 978-1-4673-4391-6. E-ISBN 978-1-4673-4392-3. (doi:10.1109/UKCI.2012.6335762) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58011)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1109/UKCI.2012.6335762

Abstract

We developed a decision support scheme that could be used and adapted to various business decision processes. These involve decisions that are made under uncertain situations such as business competition in the market or wage negotiation within a firm. The scheme uses game strategies and fuzzy inference concepts to effectively grasp the variables in these uncertain situations. The games are played between human and fuzzy players. The accuracy of the fuzzy rule base and the game strategies help to mitigate the adverse effects that a business may suffer from these uncertain factors We also introduced learning which enables the fuzzy player to adapt over time. We tested this scheme in different scenarios and discover that it could be an invaluable tool in the hand of entrepreneurs that are operating under uncertain and competitive business environments.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/UKCI.2012.6335762
Uncontrolled keywords: Adverse effect; Business competition; Business decisions; Business games; Competitive business; decision; Decision supports; Fuzzy rule base; Game strategies; Uncertain factors; Zero sums, Artificial intelligence; Decision support systems; Fuzzy logic; Game theory; Membership functions, Competition
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 03 Jan 2023 15:28 UTC
Last Modified: 05 Nov 2024 10:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58011 (The current URI for this page, for reference purposes)

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