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Note—Disutility as a Probability: An Interpretation of Weighted Informational Measures

Note—Disutility as a Probability: An Interpretation of Weighted Informational Measures It is shown that the proposal for a utility-weighted informational measure discussed by Belis, and Guiasu (Belis, M., S. Guiasu. 1968. A quantitative-qualitative measure of information in cybernetic systems. IEEE Trans. Information Theory 14 593–594.) and others can be formulated in terms of classical (unweighted) information theory by interpreting utilities or disutilities as probabilities. Aggregation properties and extensions to prior and posterior probabilities are also discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Management Science INFORMS

Note—Disutility as a Probability: An Interpretation of Weighted Informational Measures

Management Science , Volume 26 (12): 4 – Dec 1, 1980
5 pages

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References (5)

Publisher
INFORMS
Copyright
Copyright © INFORMS
Subject
Note
ISSN
0025-1909
eISSN
1526-5501
DOI
10.1287/mnsc.26.12.1281
Publisher site
See Article on Publisher Site

Abstract

It is shown that the proposal for a utility-weighted informational measure discussed by Belis, and Guiasu (Belis, M., S. Guiasu. 1968. A quantitative-qualitative measure of information in cybernetic systems. IEEE Trans. Information Theory 14 593–594.) and others can be formulated in terms of classical (unweighted) information theory by interpreting utilities or disutilities as probabilities. Aggregation properties and extensions to prior and posterior probabilities are also discussed.

Journal

Management ScienceINFORMS

Published: Dec 1, 1980

Keywords: Keywords : entropy ; information theory

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