scholarly journals CHROMATIC NUMBER OF BIPOLAR FUZZY GRAPHS

2016 ◽  
Vol 34 (1_2) ◽  
pp. 49-60 ◽  
Author(s):  
A. TAHMASBPOUR ◽  
R.A. BORZOOEI
Keyword(s):  
Chromatic Number ◽  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Analytical study of various dominations on bipolar fuzzy graphs

2021 ◽  
Author(s):  
Muneera Abdul ◽  
Nageswara Rao T. ◽  
Jonnalagadda Venkateswara Rao ◽  
Ravi Kumar S. R. Emani ◽  
Sateesh Kumar D.
Keyword(s):  
Analytical Study ◽  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Energy of double dominating bipolar fuzzy graphs

2019 ◽  
Vol 61 (1-2) ◽  
pp. 219-234 ◽  
Author(s):  
Muhammad Akram ◽  
Danish Saleem ◽  
Bijan Davvaz
Keyword(s):  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Domination in bipolar fuzzy graphs

2013 ◽  
Author(s):  
M.G. Karunambigai ◽  
M. Akram ◽  
K. Palanivel ◽  
S. Sivasankar
Keyword(s):  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

f-morphism on bipolar fuzzy graphs

2016 ◽  
Vol 30 (2) ◽  
pp. 651-658 ◽  
Author(s):  
A. Tahmasbpour ◽  
R.A. Borzooei ◽  
Hossein Rashmanlou
Keyword(s):  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

scholarly journals STRENGTH OF STRONG CYCLE CONNECTIVITY IN BIPOLAR FUZZY GRAPHS

2020 ◽  
Vol 9 (1) ◽  
pp. 15-25
Author(s):  
S. Yahya Mohamed ◽  
◽  
N. Subashini
Keyword(s):  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Note on “Bipolar fuzzy graphs with applications”

2020 ◽  
Vol 192 ◽  
pp. 105315 ◽  
Author(s):  
Soumitra Poulik ◽  
Ganesh Ghorai
Keyword(s):  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Designing DEMATEL method under bipolar fuzzy environment

2021 ◽  
pp. 1-17
Author(s):  
N. Deva ◽  
A. Felix
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Structural Model ◽  
Mobile Network ◽  
Fuzzy Graph ◽  
Fuzzy Dematel ◽  
Fuzzy Environment ◽  
Competition Graph ◽  
Fuzzy Graphs ◽  
Bipolar Fuzzy Graphs

Bipolar fuzzy graph is more precise than a fuzzy graph when dealing with imprecision as it is focusing on the positive and negative information of each vertex and edge. Nowadays, researchers have utilized bipolar fuzzy graphs in decision-making problems. Bipolar fuzzy competition graphs aid to compute the competition between the vertices in bipolar fuzzy graphs. To depict the best competitions among the competitions of bipolar fuzzy graphs, the best bipolar fuzzy competition graph can be defined using bipolar fuzzy α-cut and the strength of the competition between the vertices can also be determined. Fuzzy graphs are used well to frame modelling in real-time problems. In particular, when the real-time scenario is modelled using the bipolar fuzzy graph, it gives more precision and flexibility. At present, researchers have focused on decision-making techniques with bipolar fuzzy graphs. The DEMATEL method is one of the powerful decision-making tools. It effectively analyses the complicated digraphs and matrices. The fuzzy DEMATEL technique can convert the interrelations between factors into an intelligible structural model of the system and divide them into cause and effect groups. Therefore, this study attempts to design the DEMATEL method under the bipolar fuzzy environment. To illustrate this proposed technique, the problem of identifying the best mobile network is taken. With this method, the benefits and drawbacks of networks are measured and a complicated bipolar fuzzy directed graph can be transformed into a viewed structure.

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