Abstract
The present fuzzy arithmetic is based on possibilistic extension-principle of Zadeh. Fuzzy arithmetic is necessary to accomplish calculation in Computing with Words [6]. However, arithmetic operations carried out with the standard, possibilistic extension-principle often yield results which have small or no practical value. Sometimes the results are paradoxical ones. An example of such case is presented in the paper and also a new cardinality extension-principle in a version that enables regard for all additional constraints resulting from the context of the problem to be solved. The principle can be used only to fuzzy sets of numbers of probabilistic character which often occur in practical problems.
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References
Bronstein I.N., Siemiendiajew K.A., 1996, Handbook of Mathematics, (in Polish), Wydawnictwo Naukowe PWN, Warszawa
Driankov D., Hellendorn M., Reinfrank M., 1993, An introduction to fuzzy control, Springer-Verlag, Berlin
Klirr G.L., 1997, Fuzzy arithmetic with requisite constraints, Fuzzy Sets and Systems 91, pp.165–175
Piegat A., 2001, Fuzzy modeling and control, A Springer-Verlag Company, Heidelberg-New York
Zadeh L.A., 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems 1, vol.3, No.28
Zadeh L.A., 2002, From computing with numbers to computing with words-From manipulation of measurements to manipulation of perceptions. Applied mathematics and computer science, vol.12, No.3, pp.307–324
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Piegat, A. (2005). Informative value of the possibilistic extension principle. In: PejaÅ›, J., Piegat, A. (eds) Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-23484-5_29
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DOI: https://doi.org/10.1007/0-387-23484-5_29
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-7776-0
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