Applications of maximum matching by using bipolar fuzzy incidence graphs. [PDF]
The extension of bipolar fuzzy graph is bipolar fuzzy incidence graph (BFIG) which gives the information regarding the effect of vertices on the edges. In this paper, the concept of matching in bipartite BFIG and also for BFIG is introduced. Some results
Fahad Ur Rehman +2 more
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Topological indices of bipolar fuzzy incidence graph [PDF]
The topological index of graph has a wide range of applications in theoretical chemistry, network design, data transmission, etc. In fuzzy graph settings, these topological indices have completely different definitions and connotations.
Gong Shu, Hua Gang
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Remarks on Wiener Index of Bipolar Fuzzy Incidence Graphs [PDF]
Fuzzy data plays an important role in daily life, and fuzzy structured data is usually represented by fuzzy graphs, where the graph structure is used to describe the associated structure of the fuzzy data.
Shu Gong, Shu Gong, Gang Hua
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Cyclic connectivity index of bipolar fuzzy incidence graph
In the performance characterization of chemical molecular structures, several uncertain properties are often encountered, and fuzzy theory is precisely the tool to characterize these uncertainties.
Lu Juanjuan, Zhu Linli, Gao Wei
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A study on m-polar fuzzy influence graph and its application in highway ramping system
The concept of m-polar fuzzy graphs (mPFGs) generalizes fuzzy graph (FG) theory by assigning m membership components to vertices and edges, offering a richer framework than bipolar or intuitionistic FGs.
Uttam Mondal +3 more
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Bipolar picture fuzzy hypersoft set-based performance analysis of abrasive textiles for enhanced quality control. [PDF]
Harl MI +4 more
europepmc +1 more source
Combining SWOT analysis and neutrosophic cognitive maps for multi-criteria decision making: a case study of organic agriculture in India. [PDF]
Obbineni J +3 more
europepmc +1 more source
Cyclic connectivity index of fuzzy incidence graphs with applications in the highway system of different cities to minimize road accidents and in a network of different computers. [PDF]
Nazeer I, Rashid T, Hussain MT.
europepmc +1 more source
Optimisation of maintenance in delivery systems for cytostatic medicines. [PDF]
Carnero MC, Gómez A.
europepmc +1 more source
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification. [PDF]
Stolfi P +4 more
europepmc +1 more source

