Fuzzy spatial relationships for image processing and interpretation: a review
I Bloch - Image and Vision Computing, 2005 - Elsevier
In spatial reasoning, relationships between spatial entities play a major role. In image
interpretation, computer vision and structural recognition, the management of imperfect …
interpretation, computer vision and structural recognition, the management of imperfect …
[图书][B] Triangular norms
The history of triangular norms started with the paper" Statistical metrics"[Menger 1942]. The
main idea of Karl Menger was to construct metric spaces where probability distributions …
main idea of Karl Menger was to construct metric spaces where probability distributions …
[图书][B] Fuzzy Implications from Fuzzy Logic Operations
M Baczyński, B Jayaram, M Baczyński, B Jayaram - 2008 - Springer
In this first chapter of Part I, we discuss families of fuzzy implications obtained from binary
operations on the unit interval [0, 1], ie, from basic fuzzy logic connectives, viz., t-norms, t …
operations on the unit interval [0, 1], ie, from basic fuzzy logic connectives, viz., t-norms, t …
New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions
L Dengfeng, C Chuntian - Pattern recognition letters, 2002 - Elsevier
The concept of an intuitionistic fuzzy set (IFS), which is a generalization of the concept of a
fuzzy set (FS), has been introduced by K. Atanassov. Although many measures of similarity …
fuzzy set (FS), has been introduced by K. Atanassov. Although many measures of similarity …
Single and multi-valued neutrosophic hypersoft set and tangent similarity measure of single valued neutrosophic hypersoft sets
As the analysis of classical sets, fuzzy set [1] and intuitionistic fuzzy set [2], the neutrosophic
set was introduced by Smarandache [3, 4] to capture the insufficient, indicate, uncertain and …
set was introduced by Smarandache [3, 4] to capture the insufficient, indicate, uncertain and …
Similarity measures for categorical data: A comparative evaluation
Measuring similarity or distance between two entities is a key step for several data mining
and knowledge discovery tasks. The notion of similarity for continuous data is relatively well …
and knowledge discovery tasks. The notion of similarity for continuous data is relatively well …
Similarity measures on intuitionistic fuzzy sets
Z Liang, P Shi - Pattern recognition letters, 2003 - Elsevier
Intuitionistic fuzzy sets (IFSs), proposed by Atanassov, have gained attention from
researchers for their applications in various fields. Then similarity measures between IFSs …
researchers for their applications in various fields. Then similarity measures between IFSs …
A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition
Intuitionistic fuzzy set (IFS) is a representative model of fuzzy theory, and it is widely used to
deal with fuzzy and uncertain problems in many practical applications. In IFS theory, the …
deal with fuzzy and uncertain problems in many practical applications. In IFS theory, the …
Distance and similarity measures of Pythagorean fuzzy sets based on the Hausdorff metric with application to fuzzy TOPSIS
Z Hussian, MS Yang - International Journal of Intelligent …, 2019 - Wiley Online Library
Pythagorean fuzzy sets (PFSs) were proposed by Yager in 2013 to treat imprecise and
vague information in daily life more rigorously and efficiently with higher precision than …
vague information in daily life more rigorously and efficiently with higher precision than …
Measures of similarity between vague sets
SM Chen - Fuzzy sets and Systems, 1995 - Elsevier
Measures of similarity between vague sets Page 1 ELSEVIER Fuzzy Sets and Systems 74 (1995)
217-223 FUZZY sets and systems Measures of similarity between vague sets Shyi-Ming Chen …
217-223 FUZZY sets and systems Measures of similarity between vague sets Shyi-Ming Chen …