Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
396052 | Information Sciences | 2007 | 13 Pages |
Abstract
We introduce and study a new family of normalized distance measures between binary fuzzy operators, along with its dual family of similarity measures. Both are based on matrix norms and arise from the study of the aggregate plausibility of set-operations. We also suggest a new family of normalized distance measures between fuzzy sets, based on binary operators and matrix norms, and discuss its qualitative and quantitative features. All measures proposed are intended for applications and may be customized according to the needs and intuition of the user.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Victor Balopoulos, Anestis G. Hatzimichailidis, Basil K. Papadopoulos,