Conceptual conectivity analysis by means of fuzzy partitions

2005 ◽  
pp. 165-172 ◽  
Author(s):  
J. Aguilar-Martin ◽  
M. Martín ◽  
N. Piera
Keyword(s):  
Fuzzy Partitions

Improved Fuzzy Partitions for K-Plane Clustering Algorithm and Its Robustness Research

2011 ◽  
Vol 30 (8) ◽  
pp. 1923-1927
Author(s):  
Lin Zhu ◽  
Shi-tong Wang ◽  
Yong-hui Pan ◽  
Bin Han
Keyword(s):  
Clustering Algorithm ◽  
Fuzzy Partitions

scholarly journals A Summary of F-Transform Techniques in Data Analysis

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1771
Author(s):  
Ferdinando Di Martino ◽  
Irina Perfilieva ◽  
Salvatore Sessa
Keyword(s):  
Data Analysis ◽  
Analysis Data ◽  
High Dimensional ◽  
Sufficient Data ◽  
Fuzzy Transform ◽  
Transform Method ◽  
Data Density ◽  
Fuzzy Partitions ◽  
Definition Of ◽  
Performance Results

Fuzzy transform is a technique applied to approximate a function of one or more variables applied by researchers in various image and data analysis. In this work we present a summary of a fuzzy transform method proposed in recent years in different data mining disciplines, such as the detection of relationships between features and the extraction of association rules, time series analysis, data classification. After having given the definition of the concept of Fuzzy Transform in one or more dimensions in which the constraint of sufficient data density with respect to fuzzy partitions is also explored, the data analysis approaches recently proposed in the literature based on the use of the Fuzzy Transform are analyzed. In particular, the strategies adopted in these approaches for managing the constraint of sufficient data density and the performance results obtained, compared with those measured by adopting other methods in the literature, are explored. The last section is dedicated to final considerations and future scenarios for using the Fuzzy Transform for the analysis of massive and high-dimensional data.

Connectives for fuzzy partitions

1999 ◽  
Vol 101 (3) ◽  
pp. 509-512 ◽  
Author(s):  
Ion Iancu
Keyword(s):  
Fuzzy Partitions

scholarly journals Fuzzy partitions: A way to integrate expert knowledge into distance calculations

2013 ◽  
Vol 245 ◽  
pp. 76-95 ◽  
Author(s):  
Serge Guillaume ◽  
Brigitte Charnomordic ◽  
Patrice Loisel
Keyword(s):  
Expert Knowledge ◽  
Fuzzy Partitions

MEASURES OF LOCAL ENTROPIES FOR COMPOSITIVE FUZZY PARTITIONS

2011 ◽  
Vol 19 (04) ◽  
pp. 717-728 ◽  
Author(s):  
DORETTA VIVONA ◽  
MARIA DIVARI
Keyword(s):  
Functional Equations ◽  
Fuzzy Measure ◽  
System Of Functional Equations ◽  
Locality Property ◽  
Fuzzy Measures ◽  
Fuzzy Partitions

The aim of this paper is to characterize of the measures of entropies without probability or fuzzy measure for compositive fuzzy partitions, taking into account the so-called locality property. We propose a system of functional equations, whose solutions give some forms of entropies without probability or fuzzy measures.

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