𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Entropy, distance measure and similarity measure of fuzzy sets and their relations

✍ Scribed by Liu Xuecheng


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
622 KB
Volume
52
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Inclusion measures, similarity measures,
✍ Wenyi Zeng; Hongxing Li πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 130 KB

The inclusion measure, the similarity measure, and the fuzziness of fuzzy sets are three important measures in fuzzy set theory. In this article, we investigate the relations among inclusion measures, similarity measures, and the fuzziness of fuzzy sets, prove eight theorems that inclusion measures,

Relationships between entropy and simila
✍ Qiansheng Zhang; Shengyi Jiang πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 299 KB πŸ‘ 2 views

The concept of entropy of interval-valued intuitionistic fuzzy set (IvIFS) is Þrst introduced. The close relationships between entropy and the similarity measure of interval-valued intuitionistic fuzzy sets are discussed in detail. We also obtain some important theorems by which entropy and similari

L-fuzzy valued inclusion measure, L-fuzz
✍ A. Kehagias; M. Konstantinidou πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 303 KB

The starting point of this paper is the introduction of a new measure of inclusion of fuzzy set A in fuzzy set B. Previously used inclusion measures take values in the interval [0; 1]; the inclusion measure proposed here takes values in a Boolean lattice. In other words, an inclusion is viewed as an

Similarity measures of intuitionistic fu
✍ Wen-Liang Hung; Miin-Shen Yang πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 292 KB

This paper presents a new method for similarity measures between intuitionistic fuzzy sets (IFSs). We will present a method to calculate the distance between IFSs on the basis of the Hausdorff distance. We will then use this distance to generate a new similarity measure to calculate the degree of si