Original title: A tribute to Klir’s research on entropy for belief functions
Authors: Jiroušek, Radim ; Kratochvíl, Václav
Document type: Papers
Conference/Event: Czech-Japan Seminar on Data Analysis and Decision Making 2024 /24./, Telč (CZ), 20240909
Year: 2024
Language: eng
Abstract: This is a short paper to remind us that although Prof. George Klir passed away eight years ago, his ideas are still alive. He was one of the first to have the idea to extend information theory beyond probability theory and to see the potential of fuzzy sets and belief functions. Some of the problems he raised have not yet been satisfactorily solved. In this paper, we take a fresh look at the problem of what properties entropy should have if it is to be considered a measure of information. Based on these requirements, we consider 24 definitions of entropy for belief functions and study how well they satisfy the proposed conditions.
Keywords: belief function; comparison; entropy
Project no.: GA19-06569S (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making, ISBN 978-80-905688-0-8
Note: Související webová stránka: https://cjs.utia.cas.cz/2024/proceedings.pdf#section.0.6

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: https://library.utia.cas.cz/separaty/2024/MTR/jirousek-0600835.pdf
Original record: https://hdl.handle.net/11104/0358253

Permalink: http://www.nusl.cz/ntk/nusl-668311


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers