Parametric Generalized R-norm Fuzzy Information and Divergence Measures

Author(s):  
Anshu Ohlan ◽  
Ramphul Ohlan
2019 ◽  
Vol 36 (4) ◽  
pp. 3195-3209 ◽  
Author(s):  
Jiubing Liu ◽  
Xianzhong Zhou ◽  
Bing Huang ◽  
Huaxiong Li ◽  
Hengrong Ju

2022 ◽  
Vol 11 (1) ◽  
pp. 0-0

Many fuzzy information and divergence measures developed by various researchers and authors. Here, authors proposed new fuzzy divergence measure using the properties of convex function and fuzzy concept. The applications of novel fuzzy divergence measures in pattern recognition with case study, are discussed. Obtained various novel fuzzy information inequalities on fuzzy divergence measures. The new relations among new and existing fuzzy divergence measure by new f-divergence, Jensen inequalities, properties of convex functions and inequalities have studied. Finally, verified these results and proposed fuzzy divergence measures by numerical example.


2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.


2021 ◽  
pp. 1-17
Author(s):  
Akash Anand ◽  
Anand Singh Dinesh ◽  
Prashant K. Srivastava ◽  
Sumit Kumar Chaudhary ◽  
A. K. Verma ◽  
...  

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