Title :
Uncertainty in business decisions and fuzzy games approach
Author :
Oderanti, Festus Oluseyi ; De Wilde, Philippe ; Li, Feng
Author_Institution :
Newcastle Univ. Bus. Sch., Univ. of Newcastle upon Tyne, Newcastle upon Tyne, UK
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.
Keywords :
business data processing; competitive intelligence; decision support systems; fuzzy reasoning; fuzzy set theory; game theory; learning (artificial intelligence); business decision process; business decisions uncertainty; competitive business environments; decision support scheme; fuzzy games approach; fuzzy inference concepts; fuzzy players; fuzzy rule base; game strategies; uncertain factors; wage negotiation; Fuzzy logic; Game theory; Games; Training; Vectors; business games; decision; fuzzy logic; game theory; membership functions; zero sum;
Conference_Titel :
Computational Intelligence (UKCI), 2012 12th UK Workshop on
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4673-4391-6
DOI :
10.1109/UKCI.2012.6335762