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Uncertainty in Business Decisions and Fuzzy Games Approach

Lookup NU author(s): Dr Festus Oderanti, Professor Feng Li

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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.


Publication metadata

Author(s): Oderanti FO, Li F, DeWilde P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 12th UK Workshop on Computational Intelligence

Year of Conference: 2012

Pages: 1-8

Publisher: IEEE

URL: http://dx.doi.org/10.1109/UKCI.2012.6335762

DOI: 10.1109/UKCI.2012.6335762

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467343916


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