Conquering Uncertainty in Multiple-Valued Logic Design
Artificial Intelligence Review
Conquering uncertainty in multiple-valued logic design
Artificial intelligence in logic design
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The aim of this paper is to present an axiomatization of a generalization of Shannon's entropy. The newly proposed axiomatization yields as special cases the Havrada-Charvat entropy, and thus, provides axiomatizations for the Shannon entropy, the Gini index, and for other types of entropy used in classification and data mining.