%0 Journal Article
%T Discussing an Expected Utility and Weighted Entropy Framework
%A Jos¨¦ Pinto Casquilho
%J Natural Science
%P 545-551
%@ 2150-4105
%D 2014
%I Scientific Research Publishing
%R 10.4236/ns.2014.67054
%X <p style=\"text-align:justify;\">
	In this paper, it
is discussed a framework combining traditional expected utility and weighted entropy (EU-WE)¡ªalso named mean contributive value index¡ªwhich may be conceived
as a decision aiding procedure, or a heuristic device generating
compositional scenarios, based on information theory concepts, namely
weighted entropy. New proofs concerning the
maximum value of the index and the evaluation of optimal proportions are
outlined, with emphasis on the optimal value of the Lagrange multiplier and
its meaning. The rationale is a procedure of maximizing the combined value of
a system expressed as a mosaic, denoted by characteristic values of the
states and their proportions. Other perspectives of application of this EU-WE
framework are suggested.
</p>
%K Mosaic Composition
%K Expected Utility
%K Weighted Entropy
%K Mean Contributive Value
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=45363