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  Generalized Information Theory (1991) [6 citations — 0 self]

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by George J. Klir
Fuzzy Sets and Systems
http://www.carleton-scientific.com/isipta/PDF/024.pdf
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Abstract:

The purpose of this paper is to survey recent developments and trends in the area of generalized information theory (GIT) and to discuss some of the issues of current interest in GIT regarding the measurement of uncertaintybased information for imprecise probabilities on finite crisp sets.

Citations

2739 A mathematical theory of communication – Shannon - 1948
415 Fuzzy Sets and Fuzzy Logic; Theory and Applications – Klir, Yuan - 1995
87 Fuzzy Measure Theory – Wang, Klir - 1992
70 Transmission of information – Hartley - 1928
26 Some characterization of lower probabilities and other monotone capacities through the use of Moebius Inversion – CHATEAUNEUF - 1989
22 Uncertainty-Based Information – Klir, Wierman - 1998
7 On the entropy of fuzzy measures – Yager - 2000
6 The interaction and Möbius representations of fuzzy measures on finite spaces, k-additive measures: a survey – Grabisch - 2000
5 A Non-specificity Measure for Convex Sets of Probability Distributions – Abellán, Moral - 1999
4 Principles of uncertainty: What are they? Why do we need them?” Fuzzy Sets and Systems – Klir - 1995
3 Generalized Information Theory: Resolving Some Old Questions and Opening Some New Ones – Smith - 2000
1 eds, Systemic Organization of Information in Fuzzy Systems – Klir, Teodorescu, et al. - 2003
1 Entropy of discrete fuzzy measures.” Intern – Marichal, Roubens - 2000
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