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Novel applications of m-polar fuzzy competition graphs in decision support system

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Abstract

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.

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Acknowledgements

The authors are thankful to Editor-in-Chief, Professor John MacIntyre, and the referees for their invaluable comments and suggestions.

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Authors and Affiliations

  1. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

    Muhammad Akram & Musavarah Sarwar

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  1. Muhammad Akram
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  2. Musavarah Sarwar
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Correspondence to Muhammad Akram.

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Akram, M., Sarwar, M. Novel applications of m-polar fuzzy competition graphs in decision support system. Neural Comput & Applic 30, 3145–3165 (2018). https://doi.org/10.1007/s00521-017-2894-y

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