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A Novel Decision-Making Method Based on Rough Fuzzy Information

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Abstract

Fuzzy sets and rough sets are two different mathematical models to cope with vagueness, but they are correlated. Dubois and Prade combined these two sets to make new hybrid models including fuzzy rough sets and rough fuzzy sets. In this research study, we introduce several basic notions, concerning rough fuzzy digraph, and investigate some related properties. We present applications of rough fuzzy digraphs in decision-making problems. In particular, we develop efficient algorithms to solve decision-making problems.

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Acknowledgements

The authors are very thankful to the editor and referees for their valuable comments and suggestions for improving the paper.

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Authors and Affiliations

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

    Fariha Zafar & Muhammad Akram

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  1. Fariha Zafar
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  2. Muhammad Akram
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Correspondence to Muhammad Akram.

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Zafar, F., Akram, M. A Novel Decision-Making Method Based on Rough Fuzzy Information. Int. J. Fuzzy Syst. 20, 1000–1014 (2018). https://doi.org/10.1007/s40815-017-0368-0

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  • DOI: https://doi.org/10.1007/s40815-017-0368-0

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