On exponential entropies

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Nov 2002Publisher:IEEEJournal:SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), volume 4, pages 2,822-2,826

Authors: Tarald O. Kvålseth;

doi: 10.1109/icsmc.2000.884425

On exponential entropies

- Summary
- Metrics

Abstract

As a number of information, an entropy has been defined as the weighted mean of a set of exponential functions involving the probabilities of a set of random events. The exponential entropy is claimed to have certain advantages over the classical Shannon entropy (C.E. Shannon, 1948). The article proposes two different generalizations of the exponential entropy, each of which represents a one-parameter generalization. Shannon's entropy is shown to be a particular member of one of these two new families of information measures. Some of the important properties of the new measures are discussed.

Related Organizations

University of Minnesota
United States
University of Minnesota Morris
United States

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average