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Forte, B. (1970) Functional Equations in Generalized Information Theory. In: Cremonese, Ed., Applications of Functional Equations and Inequalities to Information Theory, Roma, 113-140.

has been cited by the following article:

• TITLE: A Form of Information Entropy

  AUTHORS: M. Divari, D. Vivona

  KEYWORDS: Information, Entropy, Functional Equations, Fuzzy Sets

  JOURNAL NAME: Natural Science, Vol.6 No.17, December 31, 2014

  ABSTRACT: In this paper, by axiomatic way, a form of information entropy will be presented on crisp and fuzzy setting. Information entropy is the unavailability of information about a crisp or fuzzy event. It will use measure of information defined without any probability or fuzzy measure: for this reason it is called general information.