Why Use a Fuzzy Partition in F-Transform?
In many application problems, F-transform algorithms are very efficient. In F-transform techniques, we replace the original signal or image with a finite number of weighted averages. The use of a weighted average can be naturally explained, e.g., by the fact that this is what we get anyway when we m...
Main Authors: | Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Axioms |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1680/8/3/94 |
Similar Items
-
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones
by: Olga Kosheleva, et al.
Published: (2019-08-01) -
Why Are FGM Copulas Successful? A Simple Explanation
by: Songsak Sriboonchitta, et al.
Published: (2018-01-01) -
A Definition for Hesitant fuzzy Partitions
by: Laya Aliahmadipour, et al.
Published: (2016-06-01) -
DoF-Dependent and Equal-Partition Based Lens Distortion Modeling and Calibration Method for Close-Range Photogrammetry
by: Xiao Li, et al.
Published: (2020-10-01) -
A Summary of F-Transform Techniques in Data Analysis
by: Ferdinando Di Martino, et al.
Published: (2021-07-01)