A fuzzy soft set theoretic approach to decision making problems
Journal of Computational and Applied MathematicsPublished 31 March 2007
Arijit Roy, Pabitra Kumar Maji
Citations935
SJR quartileQ2
SJR score0.69
SNIP1.37
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TL;DR
A novel method of object recognition from an imprecise multiobserver data has been presented here and involves construction of a Comparison Table from a fuzzy soft set in a parametric sense for decision making.
Abstract
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.
Keywords
Computer ScienceDecision Sciences
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