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A. De Luca and S. Termini, “A Definition of Nonprobabilitistic Entropy in the Setting of Fuzzy Sets Theory,” Information and Control, Vol. 20, 1972, pp. 301-312.

has been cited by the following article:

• TITLE: Single Parameter Entropy of Uncertain Variables

  AUTHORS: Jiajun Liu, Liang Lin, Shuai Wu

  KEYWORDS: Uncertain Distribution; Entropy of Uncertain Variable; Single Parameter Entropy

  JOURNAL NAME: Applied Mathematics, Vol.3 No.8, August 1, 2012

  ABSTRACT: Uncertainty theory is a new branch of axiomatic mathematics for studying the subjective uncertainty. In uncertain theory, uncertain variable is a fundamental concept, which is used to represent imprecise quantities (unknown constants and unsharp concepts). Entropy of uncertain variable is an important concept in calculating uncertainty associated with imprecise quantities. This paper introduces the single parameter entropy of uncertain variable, and proves its several important theorems. In the framework of the single parameter entropy of uncertain variable, we can obtain the supremum of uncertainty of uncertain variable by choosing a proper q. The single parameter entropy of uncertain variable makes the computing of uncertainty of uncertain variable more general and flexible.