International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Generalized Intuitionistic Fuzzy Soft Set Theoretic Approach to Decision Making Problems

  • Park, Jin-Han (Department of Applied Mathematics, Pukyong National University) ;
  • Kwun, Young-Chel (Department of Mathematics, Dong-A University) ;
  • Son, Mi-Jung (Department of Data Information, Korea Maritime University)
  • Received : 2011.04.06
  • Accepted : 2011.05.18
  • Published : 2011.06.25
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Abstract

The problem of decision making under imprecise environments are widely spread in real life decision situations. We present a method of object recognition from imprecise multi observer data, which extends the work of Roy and Maji [J Compu. Appl. Math. 203(2007) 412-418] to generalized intuitionistic fuzzy soft set theory. The method involves the construction of a comparison table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.

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References

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