In this paper, we first review several popular similarity measures between fuzzy sets and then extend those similarity measures to intuitionistic fuzzy sets. We also propose two new similarity measures between intuitionistic fuzzy sets. These similarity measures have been found to satisfy some simil
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance
β Scribed by Wen-Liang Hung; Miin-Shen Yang
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 292 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0167-8655
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β¦ Synopsis
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 similarity between IFSs. Finally we will prove some properties of the proposed similarity measure and use several examples to compare the proposed similarity measure with existing methods. Numerical results show that the proposed similarity measure is much simpler than existing methods and is well suited to use with linguistic variables.
π SIMILAR VOLUMES
The concept of entropy of interval-valued intuitionistic fuzzy set (IvIFS) is Γrst 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
introduced the concepts of self-contradictory fuzzy set and contradictory fuzzy sets in an attempt to mark out when an inference process is not coherent. Later, contradiction was studied along the same lines in Cubillo and CastiΓ±eira (In: Proc X Conf of Information Processing and Management of Uncer