Abstract
Managerial decision-making is a complex procedure which combines information both in numerical as well as in linguistic form. In this paper, we present a general decision-making methodology which utilizes several intelligent soft-computing techniques, namely the theory of evaluative linguistic expressions, perception-based logical deduction and fuzzy transform. These techniques fulfil the above requirement and so, we are convinced that they can effectively fulfil the needs of managers and provide them with a tool that can help them to obtain a relevant decision. The methodology is demonstrated on an example.
The paper has been supported by the project 1M0572 of the MŠMT ČR.
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References
Bellman, R., Zadeh, L.: Decision making in a fuzzy environment. Management Science 17, 140–164 (1970)
Bělohlávek, R., Novák, V.: Learning rule base of the linguistic expert systems. Soft Computing 7, 79–88 (2002)
Calvo, T., Mayor, G., Mesiar, R. (eds.): Aggregation operators. New trends and applications. Physica-Verlag, Heidelberg (2002)
Dvořák, A., Habiballa, H., Novák, V., Pavliska, V.: The software package LFLC 2000 - its specificity, recent and perspective applications. Computers in Industry 51, 269–280 (2003)
Fodor, J., Roubens, M.: Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer, Dordrecht (1994)
Hajičová, E., Partee, B.H., Sgall, P.: Topic-Focus Articulation, Tripartite Structures, and Semantics Content. Kluwer, Dordrecht (1998)
Jie, L., Guangquan, Z., Da, R.: Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques. Imperial College Press, London (2007)
Novák, V.: Perception-based logical deduction. In: Reusch, B. (ed.) Computational Intelligence, Theory and Applications, pp. 237–250. Springer, Berlin (2005)
Novák, V.: A comprehensive theory of trichotomous evaluative linguistic expressions. Fuzzy Sets and Systems 159(22), 2939–2969 (2008)
Novák, V., Perfilieva, I.: On the semantics of perception-based fuzzy logic deduction. International Journal of Intelligent Systems 19, 1007–1031 (2004)
Novák, V., Štěpnička, M., Perfilieva, I., Pavliska, V.: Analysis of periodical time series using soft computing methods. In: Ruan, D., Montero, J., Lu, J., Martínez, L., D’hondt, P., Kerre, E. (eds.) Computational Intelligence in Decision and Control, p. 5560. World Scientific, New Jersey (2008)
Perfilieva, I.: Fuzzy transform: Application to reef growth problem. In: Demicco, R.B., Klir, G.J. (eds.) Fuzzy Logic in Geology, pp. 275–300. Academic Press, Amsterdam (2003)
Perfilieva, I.: Fuzzy transforms: theory and applications. Fuzzy Sets and Systems 157, 993–1023 (2006)
Perfilieva, I., Haldeeva, E.: Fuzzy transformation. In: Proc. of the Joint 9th IFSA World Congress and 20th NAFIPS Int’l Conf. CD-ROM, Vancouver, Canada (2001)
Perfilieva, I., Novák, V., Pavliska, V., Dvořák, A., Štěpnička, M.: Analysis and prediction of time series using fuzzy transform. In: Proc. IEEE World Congress on Computational Intelligence, pp. 3875–3879. IEEE Computational Intelligence Society, Hong Kong (2008)
Saaty, T.: Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process. RWS Publications, Pittsburgh (2000)
Sgall, P., Hajičová, E., Panevová, J.: The Meaning of the Sentence in Its Syntactic and Pragmatic Aspects. D. Reidel, Dordrecht (1986)
Slowinski, R. (ed.): Fuzzy sets in decision analysis, operations research and statistics. Handbook of Fuzzy Sets Series. Kluwer, Dordrecht (1998)
Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. on Systems, Man, and Cybernetics SMC-3, 28–44 (1973)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning I, II, III. Information Sciences 8-9, 199–257, 301–357, 43–80 (1975)
Zadeh, L.A.: Precisiated natural language. AI Magazine 25, 74–91 (2004)
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Novák, V., Perfilieva, I., Jarushkina, N.G. (2009). A General Methodology for Managerial Decision Making Using Intelligent Techniques. In: Rakus-Andersson, E., Yager, R.R., Ichalkaranje, N., Jain, L.C. (eds) Recent Advances in Decision Making. Studies in Computational Intelligence, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02187-9_7
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DOI: https://doi.org/10.1007/978-3-642-02187-9_7
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