On the Maximum Entropy Negation of a Complex-Valued Distribution

In real applications of artificial and intelligent decision-making systems, how to represent the knowledge involved with uncertain information is still an open issue. The negation method has great significance to address this issue from another perspective. However, it has the limitation that can be...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2021-11, Vol.29 (11), p.3259-3269
1. Verfasser:	Xiao, Fuyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> mathcal {X}</tex-math> </inline-formula> entropy complex-valued distribution (CvD) Decision making Entropy knowledge representation Maximum entropy negation function Probability distribution uncertain information Uncertainty uncertainty measure
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