A Generalized Intuitionistic Fuzzy Soft Set Theoretic Approach to Decision Making Problems

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...

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Published inInternational journal of fuzzy logic and intelligent systems : IJFIS Vol. 11; no. 2; pp. 71 - 76
Main Authors Park, Jin-Han, Kwun, Young-Chel, Son, Mi-Jung
Format Journal Article
LanguageKorean
Published 2011
Subjects
Comparison
generalized intuitionistic fuzzy soft sets
resultant generalized intuitionistic fuzzy soft sets
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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.
AbstractList 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.
Author Kwun, Young-Chel
Park, Jin-Han
Son, Mi-Jung
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Keywords Comparison
generalized intuitionistic fuzzy soft sets
resultant generalized intuitionistic fuzzy soft sets
Language Korean
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