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Novel intuitionistic fuzzy soft multiple-attribute decision-making methods

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Abstract

An intuitionistic fuzzy soft set plays a significant role as a mathematical tool for mathematical modeling, system analysis and decision making. This mathematical tool gives more precision, flexibility and compatibility to the system when compared to systems that are designed using fuzzy graphs and fuzzy soft graphs. In this paper, we use intuitionistic fuzzy soft graphs and possibility intuitionistic fuzzy soft graphs for parameterized representation of a system involving some uncertainty. We present novel multiple-attribute decision-making methods based on an intuitionistic fuzzy soft graph and possibility intuitionistic fuzzy soft graph. We also present our methods as algorithms that are used in our applications.

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Acknowledgments

The authors are thankful to Editor-in-Chief, Professor John MacIntyre and the referees for their valuable comments and suggestions for improving the quality of our paper.

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Authors and Affiliations

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

    Muhammad Akram & Sundas Shahzadi

Authors
  1. Muhammad Akram
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  2. Sundas Shahzadi
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Correspondence to Muhammad Akram.

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The authors declare that there is no conflict of interest regarding the publication of this article.

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Akram, M., Shahzadi, S. Novel intuitionistic fuzzy soft multiple-attribute decision-making methods. Neural Comput & Applic 29, 435–447 (2018). https://doi.org/10.1007/s00521-016-2543-x

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  • DOI: https://doi.org/10.1007/s00521-016-2543-x

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