Neural Computing and Applications

, Volume 29, Issue 7, pp 435–447 | Cite as

Novel intuitionistic fuzzy soft multiple-attribute decision-making methods

  • Muhammad Akram
  • Sundas Shahzadi
Original Article


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.


Intuitionistic fuzzy soft sets Intuitionistic fuzzy soft graphs Possibility intuitionistic fuzzy soft graphs Decision-making problem 



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.

Compliance with ethical standards

Conflict of interest

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


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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of the Punjab, New CampusLahorePakistan

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