| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4642640 | Journal of Computational and Applied Mathematics | 2007 | 7 Pages |
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
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
A.R. Roy, P.K. Maji,