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A unified characterization of generalized information and certainty measures

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  • Ilić, Velimir M.
  • Stanković, Miomir S.

Abstract

In this paper we consider the axiomatic characterization of information and certainty measures in a unified way. We present the general axiomatic system which captures the common properties of a large number of the measures previously considered by numerous authors. We provide the corresponding characterization theorems and define a new generalized measure called the Inforcer, which is the quasi-linear mean of the function associated with the event probability following the general composition law. In particular, we pay attention to the polynomial composition and the corresponding polynomially composable Inforcer measure. The most common measures appearing in literature can be obtained by specific choice of parameters appearing in our generic measure and they are listed in tables.

Suggested Citation

  • Ilić, Velimir M. & Stanković, Miomir S., 2014. "A unified characterization of generalized information and certainty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 229-239.
  • Handle: RePEc:eee:phsmap:v:415:y:2014:i:c:p:229-239
    DOI: 10.1016/j.physa.2014.07.061
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    1. Amblard, Pierre-Olivier & Vignat, Christophe, 2006. "A note on bounded entropies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 365(1), pages 50-56.
    2. Frank, T.D. & Daffertshofer, A., 2000. "Exact time-dependent solutions of the Renyi Fokker–Planck equation and the Fokker–Planck equations related to the entropies proposed by Sharma and Mittal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 285(3), pages 351-366.
    3. Martin, M.T. & Plastino, A. & Rosso, O.A., 2006. "Generalized statistical complexity measures: Geometrical and analytical properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 439-462.
    4. Prem Nath, 1968. "Entropy, inaccuracy and information," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 13(1), pages 136-148, December.
    5. Borges, Ernesto P., 2004. "A possible deformed algebra and calculus inspired in nonextensive thermostatistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(1), pages 95-101.
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