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Issue:The process of modeling economic problems presented as a generalized net with intuitionistic fuzzy logic elements

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Title of paper: The process of modeling economic problems presented as a generalized net with intuitionistic fuzzy logic elements
Author(s):
Diana Boyadzhieva
Faculty of Economics and Business Administration, Sofia University “St. Kliment Ohridski”, Bulgaria
dianaht@feb.uni-sofia.bg
Presented at: 9th IWGN, Sofia, 4 July 2008
Published in: Conference proceedings, pages 106—112
Download:  PDF (138  Kb, Info)
Abstract: The paper presents a variation of the metamodel of a general process of modeling an economic problem by application of specific mathematical model over some appropriate data set presented in [1]. The new model is also described using the apparatus of Generalized Nets (GNs) [2] but is expanded with the inclusion of intuitionistic fuzzy logic [3]. The fuzziness could be introduced in several components of the GN but the GN itself is not an intuitionistic one, in the sense of [4].
Keywords: Generalized nets, Economic processes, Intuitionistic fuzzy logic
References:
  1. Boyadzhieva D., A Generalized Net Model of the Process of Modeling an Economic Problem, Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Vol. 7, 2008 (in print).
  2. Atanassov K., Generalized Nets, World Scientific, Singapore, 1991.
  3. Atanassov K., Intuitionistic Fuzzy Sets, Heidelberg, Springer-Verlag, 1999.
  4. K. Atanassov, On Generalized Nets Theory, page 52-55, 69-70, Prof. Marin Drinov Academic Publishing House, Sofia, 2007.
  5. Atanassov, K., G. Pasi and R. Yager, Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making, International Journal of Systems Research, Vol. 36, 2005, No. 14, 859-868.
  6. Von Neumann, J., O. Morgenstern (1947). Theory of Games and Economic Behavior. Second Edition. Princeton University Press.
  7. Tenekedjiev, K., Nikolova, N.D.(2007) Decision Making – Subjectivity, Reality and Fuzzy Rationality, CIELA Soft and Publishing, Sofia, Bulgaria.
  8. Rapoport, A. (1989). Decision Theory and Decision Behaviour – Normative and Descriptive Approaches. USA, Kluwer Academic Publishers.
  9. Yager, R. R. (2006). Generalizing Variance to Allow the Inclusion of Decision Attitude in Decision Making under Uncertainty. – International Journal of Approximate Reasoning, 42, 137-158
  10. Fabrycky, W. J., G. J. Thuesen, D. Verma (1998). Economic Decision Analysis. Third Edition. Prentice Hall.
  11. Nikolova, N.D., Dimitrakiev, D., Tenekedjiev, K. (2006) Semi-Generalized Lotteries of I Type in the Case of Additive Preferential Independence Applied for the Selection of a Domestic Heating System, International Journal on Engineering & Automation Problems, Volume 1, pp. 137-149.
  12. Tenekedjiev, K., Nikolova, N.D., Kobashikawa, C., Hirota, K. (2008) Fuzzy-Rational Betting on Sport Games with Interval Probabilities, Intelligent Techniques and Tools for Novel System Architecture, Series: Studies in Computational Intelligence, Kacprzyk, J., Chountas, P. (Eds), Vol. 109, 2008 (in print)
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