Title of article :
New measures of weighted fuzzy entropy and their applications for the study of maximum weighted fuzzy entropy principle
Author/Authors :
Om Parkash، نويسنده , , L. Bhushan & P.K. Sharma، نويسنده , , Renuka Mahajan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
7
From page :
2389
To page :
2395
Abstract :
Keeping in view the non-probabilistic nature of experiments, two new measures of weighted fuzzy entropy have been introduced and to check their authenticity, the essential properties of these measures have been studied. Under the fact that measures of entropy can be used for the study of optimization principles when certain partial information is available, we have applied the existing as well as the newly introduced weighted measures of fuzzy entropy to study the maximum entropy principle.
Keywords :
Maximum fuzzy entropy principle , Fuzzy set , Fuzzy entropy , Weighted fuzzy entropy , Membership Function
Journal title :
Information Sciences
Serial Year :
2008
Journal title :
Information Sciences
Record number :
1213318
Link To Document :
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