Abstract | ||
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An m-polar fuzzy model is useful for multipolar information, multi-agent, multi-attribute and multi-object network models. In this research paper, the concept of m-polar fuzzy competition graphs is introduced and some related properties of m-polar open neighbourhood graphs, m-polar fuzzy closed neighbourhood graphs, m-polar fuzzy k-competition graphs and underlying m-polar fuzzy graphs are investigated. Some interesting applications of m-polar fuzzy competition graphs in different fields including business marketing, politics, network communication and social networks are described. Certain algorithms for computing strength of competition in each application are presented. |
Year | Venue | Field |
---|---|---|
2018 | Neural Computing and Applications | Indifference graph,Fuzzy set operations,Fuzzy logic,Decision support system,Graph product,Artificial intelligence,Pathwidth,Fuzzy number,Machine learning,Network model,Mathematics |
DocType | Volume | Issue |
Journal | 30 | 10 |
Citations | PageRank | References |
4 | 0.44 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Muhammad Akram | 1 | 365 | 54.94 |
Musavarah Sarwar | 2 | 50 | 6.43 |