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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Bibliographic Details
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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Summary: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.
Bibliography:KISTI1.1003/JNL.JAKO201120956424227
ISSN:1598-2645
2093-744X