Uncertainty in business decisions and fuzzy games approach

Festus Oluseyi Oderanti, Philippe De Wilde, Feng Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publication2012 12th UK Workshop on Computational Intelligence, UKCI 2012
Place of PublicationUK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467343923
Publication statusPublished - 2012
Event2012 12th UK Workshop on Computational Intelligence, UKCI 2012 - Edinburgh, United Kingdom
Duration: 5 Sept 20127 Sept 2012


Conference2012 12th UK Workshop on Computational Intelligence, UKCI 2012
Country/TerritoryUnited Kingdom


  • business games
  • decision
  • fuzzy logic
  • game theory
  • membership functions
  • zero sum


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