Improvements of pattern recognition by using evidence theory. Application to tag identification

Author(s):  
F. Belloir ◽  
A. Billat
Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 623
Author(s):  
Mohammad Reza Kazemi ◽  
Saeid Tahmasebi ◽  
Francesco Buono ◽  
Maria Longobardi

Deng entropy and extropy are two measures useful in the Dempster–Shafer evidence theory (DST) to study uncertainty, following the idea that extropy is the dual concept of entropy. In this paper, we present their fractional versions named fractional Deng entropy and extropy and compare them to other measures in the framework of DST. Here, we study the maximum for both of them and give several examples. Finally, we analyze a problem of classification in pattern recognition in order to highlight the importance of these new measures.


2016 ◽  
Vol 49 (12) ◽  
pp. 775-780 ◽  
Author(s):  
Thibaud Rohmer ◽  
Amir Nakib ◽  
Abdelhamid Nafaa

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 582
Author(s):  
Francesco Buono ◽  
Maria Longobardi

The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy. In this paper, we define the Deng extropy and study its relation with Deng entropy, and examples are proposed in order to compare them. The behaviour of Deng extropy is studied under changes of focal elements. A characterization result is given for the maximum Deng extropy and, finally, a numerical example in pattern recognition is discussed in order to highlight the relevance of the new measure.


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