Fuzzy Relational Calculus Toolbox, Rel.1.01

Version 1.2.0.0 (56.1 KB) by Kyosev Yordan
The toolbox provides functions and original algorithms for solving direct and inverse problems.
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4.2K Downloads
Updated 2 Sep 2010

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The Fuzzy Relational Calculus Toolbox is companion software to the book Fuzzy Relational Calculus - Theory, Applications and Software (with CD-ROM) by Ketty Peeva & Yordan Kyosev, ISBN 981-256-076-9, Advances in Fuzzy Systems Applications and Theory - Vol. 22, World Scientific Publishing Company

More information on the site:

http://www.worldscibooks.com/compsci/5683.html

Together with popular function for max-min, min-max, alpha, epsilon compositions of fuzzy matrices, we present original software for
inverse problem resolution for the Fuzzy Linear Systems of Equations

A ?X = B, when the composition is max-min, because lot of applications and implementations are developed for this law of composition. Algorithm (GPL) calculates maximal and all minimal solutions giving simple solution=solve_fls(A,B). Applying the dual approach and some techniques, described in the book, with this algorithm you can solve also min-max systems, fuzzy relational equations, systems of fuzzy intuitionistic equations, problems for finite fuzzy machines, and fuzzy linear programming
problem. The on-line tutorial over the toolbox could be found on the internet
site http://www.kyosev.net/fuzzy_calc

Cite As

Kyosev Yordan (2026). Fuzzy Relational Calculus Toolbox, Rel.1.01 (https://in.mathworks.com/matlabcentral/fileexchange/6214-fuzzy-relational-calculus-toolbox-rel-1-01), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Fuzzy Logic Toolbox in Help Center and MATLAB Answers
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fuzzy_calc/

fuzzy_calc/@im/

fuzzy_calc/@sterm/

fuzzy_calc/@term/

Version Published Release Notes
1.2.0.0

Updated Licence Information, Updated Links to the book publisher site and the site with the software Introduction, tested under R7.10
1.1.0.0

Tested under Matlab 7.10 (2010a); Updated Links to the book and the software tutorial;corrected Licence information in all files.
1.0.0.0

Some small bugs were fixed, concerning the index vector.