Abstract
Measuring the information provided by the observation of events has been a challenge for seventy years, since the simultaneous inception of entropy by Claude Shannon and Norbert Wiener in 1948. Various definitions have been proposed, depending on the context, the point of view and the chosen knowledge representation. We show here that one of the most important common feature in the choice of an entropy is its behavior with regard to the refinement of information and we analyse various definitions of monotonicity.
A homage to Claude Shannon and Norbert Wiener for the 70th anniversary of their inception of entropy.
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In the following, for the sake of simplicity, \(w_{x_i}\) will be denoted \(w_i\) when the meaning of i is clear.
References
Aczél, J., Daróczy, Z.: On Measures of Information and their Characterizations, Mathematics in Science and Engineering, vol. 115. Academic Press, New York (1975)
Aczél, J., Daróczy, Z.: A mixed theory of information. I: symmetric, recursive and measurable entropies of randomized systems of events. R.A.I.R.O. Informatique théorique/Theoret. Comput. Sci. 12(2), 149–155 (1978)
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Bouchon, B.: Entropic models. Cybern. Syst.: Int. J. 18(1), 1–13 (1987)
Bouchon-Meunier, B., Marsala, C.: Entropy measures and views of information. In: Kacprzyk, J., Filev, D., Beliakov, G. (eds.) Granular, Soft and Fuzzy Approaches for Intelligent Systems. SFSC, vol. 344, pp. 47–63. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-40314-4_3
Burillo, P., Bustince, H.: Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets. Fuzzy Sets Syst. 78, 305–316 (1996)
de Luca, A., Termini, S.: A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Inf. Control 20, 301–312 (1972)
Guiaşu, S.: Weighted entropy. Report Math. Phys. 2(3), 165–179 (1971)
Guo, K., Song, Q.: On the entropy for Atanassov’s intuitionistic fuzzy sets: an interpretation from the perspective of amount of knowledge. Appl. Soft Comput. 24, 328–340 (2014)
Kampé de Fériet, J.: Mesures de l’information par un ensemble d’observateurs. In: Gauthier-Villars (ed.) Comptes Rendus des Scéances de l’Académie des Sciences, série A, Paris, vol. 269, pp. 1081–1085, Décembre 1969
Kampé de Fériet, J.: Mesure de l’information fournie par un événement (1971). séminaire sur les questionnaires
Klir, G., Wierman, M.J.: Uncertainty-Based Information. Elements of Generalized Information Theory. Studies in Fuzziness and Soft Computing. Springer, Heidelberg (1998). https://doi.org/10.1007/978-3-7908-1869-7
Montes, I., Montes, S., Pal, N.: On the use of divergences for defining entropies for atanassov intuitionistic fuzzy sets. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. (eds.) IWIFSGN/EUSFLAT -2017. AISC, vol. 642, pp. 554–565. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-66824-6_49
Mugur-Schächter, M.: The general relativity of descriptions. Analyse de Systèmes 11(4), 40–82 (1985)
Rényi, A.: On measures of entropy and information. In: Proceedings of 4th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 547–561 (1960)
Shannon, C.E.: The Mathematical Theory of Communication. University of Illinois Press, Urbana (1948). Ed. by C.E. Shannon, W. Weaver
Szmidt, E., Kacprzyk, J.: New measures of entropy for intuitionistic fuzzy sets. In: Proceedings of the Ninth International Conference on Intuitionistic Fuzzy Sets (NIFS), Sofia, Bulgaria, vol. 11, pp. 12–20, May 2005
Wiener, N.: Cybernetics, Or Control and Communication in the Animal and the Machine. Hermann & Cie, Cambridge. (MIT Press), Paris, 2nd revised edn. 1961 (1948)
Yager, R.R.: Entropy measures under similarity relations. Int. J. Gen. Syst. 20(4), 341–358 (1992)
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Bouchon-Meunier, B., Marsala, C. (2018). Entropy and Monotonicity. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-319-91476-3_28
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DOI: https://doi.org/10.1007/978-3-319-91476-3_28
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