Dynamics of business games with management of fuzzy rules for decision making
Effective and efficient strategic decision making is the backbone for the success of a business organization. These decision making processes, used among its competitors in a particular industry, determine whether the business will continue to survive or not. In this research, fuzzy logic (FL) concept and game theory are being used to model strategic decision making processes by business organizations. Competition between business organizations is viewed as a game with each business organization as a player. A player formulates his own decisions by making his strategic moves based on uncertain information. This is the information he has about the opponents with respect to prevailing or anticipated market demand, cost of production, marketing, consolidation efforts and some other business variables. This uncertain information is being modelled using the concept of fuzzy logic. The game is played between a fuzzy agent and human agents in a resource allocation game between two players with uncertain information. Moreover, fuzzy rules are constructed that symbolize various rules and strategic variables that a firm takes into consideration before taking a decision. Our model also includes a learning procedure that enables the agent to optimize the fuzzy rules and his decision processes. Matlab software was used for the design and implementation of the fuzzy decision making system and this procedure and methodology can be easily implemented by business managers and can assist them in their strategic policy formulation.
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- Gungor, Zulal & Arikan, Feyzan, 2000. "Application of fuzzy decision making in part-machine grouping," International Journal of Production Economics, Elsevier, vol. 63(2), pages 181-193, January.
- Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
- Ioannis Karatzas & Martin Shubik & William D. Sudderth, 1995.
"A Strategic Market Game With Secured Lending,"
95-03-037, Santa Fe Institute.
- Wu, Y. & Zhang, D.Z., 2007. "Demand fluctuation and chaotic behaviour by interaction between customers and suppliers," International Journal of Production Economics, Elsevier, vol. 107(1), pages 250-259, May.
- Martin Shubik, 1972.
"On the Scope of Gaming,"
INFORMS, vol. 18(5-Part-2), pages 20-36, January.
- Abreu, Dilip & Rubinstein, Ariel, 1988. "The Structure of Nash Equilibrium in Repeated Games with Finite Automata," Econometrica, Econometric Society, vol. 56(6), pages 1259-81, November.
- Chen, Shun-Hsing & Yang, Ching-Chow & Lin, Wen-Tsann & Yeh, Tsu-Ming, 2008. "Performance evaluation for introducing statistical process control to the liquid crystal display industry," International Journal of Production Economics, Elsevier, vol. 111(1), pages 80-92, January.
- Franklin M. Fisher, 1989. "Games Economists Play: A Noncooperative View," RAND Journal of Economics, The RAND Corporation, vol. 20(1), pages 113-124, Spring.
- Bogataj, Marija & Usenik, Janez, 2005. "Fuzzy approach to the spatial games in the total market area," International Journal of Production Economics, Elsevier, vol. 93(1), pages 493-503, January.
- Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
- Ertugrul Karsak, E. & Tolga, Ethem, 2001. "Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments," International Journal of Production Economics, Elsevier, vol. 69(1), pages 49-64, January.
- Martin Shubik, 1972. "On Gaming and Game Theory," Management Science, INFORMS, vol. 18(5-Part-2), pages 37-53, January.
- Bottani, Eleonora, 2009. "A fuzzy QFD approach to achieve agility," International Journal of Production Economics, Elsevier, vol. 119(2), pages 380-391, June.
- Famuyiwa, Oluwafemi & Monplaisir, Leslie & Nepal, Bimal, 2008. "An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation," International Journal of Production Economics, Elsevier, vol. 113(2), pages 862-875, June.
- Martin Shubik, 1952. "Information, Theories of Competition, and the Theory of Games," Journal of Political Economy, University of Chicago Press, vol. 60, pages 145.
- M. Shubik, 1960. "Games Decisions and Industrial Organization," Management Science, INFORMS, vol. 6(4), pages 455-474, July.
- Martin Shubik, 1955. "The Uses of Game Theory in Management Science," Management Science, INFORMS, vol. 2(1), pages 40-54, October.
- Lewis, Michael A. & Maylor, Harvey R., 2007. "Game playing and operations management education," International Journal of Production Economics, Elsevier, vol. 105(1), pages 134-149, January.
- Irani, Zahir & Sharif, Amir & Love, Peter E. D. & Kahraman, Cengiz, 2002. "Applying concepts of fuzzy cognitive mapping to model: The IT/IS investment evaluation process," International Journal of Production Economics, Elsevier, vol. 75(1-2), pages 199-211, January.
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