[PDF][PDF] Performance evaluation of reanalysis precipitation products in Egypt using fuzzy entropy time series similarity analysis
Selection of suitable gridded precipitation data is deemed for hydroclimatic assessment and
climate change impact analysis, especially in regions where long-term reliable precipitation …
climate change impact analysis, especially in regions where long-term reliable precipitation …
A convolution-based distance measure for fuzzy singletons and its application in a pattern recognition problem
R Naranjo, M Santos… - Integrated Computer …, 2021 - content.iospress.com
A new method to measure the distance between fuzzy singletons (FSNs) is presented. It first
fuzzifies a crisp number to a generalized trapezoidal fuzzy number (GTFN) using the …
fuzzifies a crisp number to a generalized trapezoidal fuzzy number (GTFN) using the …
On fuzzy distance and induced fuzzy information measures
In present communication, based on the axiomatic definition of distance measure some new
formulae of fuzzy distance measures are proposed and cited. Fuzzy information measures …
formulae of fuzzy distance measures are proposed and cited. Fuzzy information measures …
[PDF][PDF] Some notes on fuzzy similarity measures and application to classification of shapes, recognition of arabic sentences and mosaic
Fuzzy Similarity measures are used to compare different kinds of objects such as images.
Their definitions are based on proximity measures, operations on fuzzy sets etc. which …
Their definitions are based on proximity measures, operations on fuzzy sets etc. which …
Distance measures for intuitionistic fuzzy sets and interval valued intuitionistic fuzzy sets
Following the importance of distance measures in pattern classification, and their application
to many kinds of data, crisp, fuzzy, etc, distance measures between intuitionistic fuzzy sets …
to many kinds of data, crisp, fuzzy, etc, distance measures between intuitionistic fuzzy sets …
Fuzzy similarity measures and measurement theory
G Coletti, B Bouchon-Meunier - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
We consider objects associated with a fuzzy set-based representation. By using a classic
method of measurement introduced by Tversky, we establish necessary and sufficient …
method of measurement introduced by Tversky, we establish necessary and sufficient …
A study of similarity measures through the paradigm of measurement theory: the fuzzy case
G Coletti, B Bouchon-Meunier - Soft Computing, 2020 - Springer
We extend to fuzzy similarity measures the study made for classical ones in a companion
paper (Coletti and Bouchon-Meunier in Soft Comput 23: 6827–6845, 2019). Using a classic …
paper (Coletti and Bouchon-Meunier in Soft Comput 23: 6827–6845, 2019). Using a classic …
Experimental analysis of crisp similarity and distance measures
Distance measures are a requirement in many classification systems. Euclidean distance is
the most commonly used in these systems. However, there exists a huge number of distance …
the most commonly used in these systems. However, there exists a huge number of distance …
Intuitionistic fuzzy similarity measures and their role in classification
We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs).
Thus, we propose two semi-metric distance measures between IFSs. The measures are …
Thus, we propose two semi-metric distance measures between IFSs. The measures are …
New concepts for cluster construction and similarity measurement
A Yosef, E Shnaider… - International Journal of …, 2021 - Wiley Online Library
In this study we introduce two new concepts:(1) a new approach to construct clusters and (2)
a methodology to compute similarities between numerical vectors based on clusters. The …
a methodology to compute similarities between numerical vectors based on clusters. The …