A fuzzy soft set theoretic approach to decision making problems

The problem of decision making in an imprecise environment has found paramount importance in recent years. A novel method of object recognition from an imprecise multiobserver data has been presented here. The method involves construction of a Comparison Table from a fuzzy soft set in a parametric s...

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Bibliographic Details
Published in:Journal of computational and applied mathematics 2007-06, Vol.203 (2), p.412-418
Main Authors: Roy, A.R., Maji, P.K.
Format: Article
Language:English
Subjects:
Comparison table
Exact sciences and technology
Fuzzy-soft-set
Mathematical analysis
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Object recognition
Resultant-fuzzy-soft-set
Sciences and techniques of general use
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Summary:The problem of decision making in an imprecise environment has found paramount importance in recent years. A novel method of object recognition from an imprecise multiobserver data has been presented here. The method involves construction of a Comparison Table from a fuzzy soft set in a parametric sense for decision making.
ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2006.04.008