Library for type-2 fuzzy logic research
Project description
Type2Fuzzy Project
A type-2 fuzzy logic library providing:
A type-2 fuzzy logic library providing:
- Ways to define and work with general type-2 fuzzy sets
- Ways to define and work with interval type-2 fuzzy sets
- Ways to generate z-sliced sets from general type-2 fuzzy sets
- Functions to perform wavy-slice type-reduction (Mendel-John) on general type-2 fuzzy sets
- Functions to perform interval type-2 reduction (Karnik-Mendel)
- Functions to perform partial-centroid type-reduction on general type-2 fuzzy sets
- Functions to perform defuzzification of type-1 fuzzy sets
- Tools to measure the performance of algorithms
- Tools to plot general, interval and z-sliced type-2 fuzzy sets and type-1 fuzzy sets and more
- Ways to define and work with type-1 fuzzy sets
- Ways to define and work with linguistic variables
and more
All type2fuzzy wheels distributed on PyPI are BSD licensed.
Examples of how this library was used to work some famous type-2 fuzzy logic papers can be found here:
https://github.com/carmelgafa/type2fuzzy_examples
Website
Change History
version 0.1.42 - 11.03.2020
- new version of documentation in html
version 0.1.42 - 11.03.2020
- type-1 fuzzy variable implemented str
- type-1 fuzzy variable implemented get_set
- type-1 fuzzy variable add_triangular_set returns created set
version 0.1.41 - 10.03.2020
- Type-1 fuzzy set has a name attribute and a name property
- Type-1 fuzzy variable has a name attribute and a name property
- Unit tests for above
version 0.1.39 - 09.03.2020
- added type-1 fuzzy variable
version 0.1.37 - 07.03.2020
- Fixed bugs in creation of type-1 fuzzy sets
- Moved project in a virtualenv
- Added more type-1 fuzzy set unit tests
version 0.1.36 - 18.02.2020
- Added generation of triangular type-1 sets unit test. Removed extended method
version 0.1.35 - 18.02.2020
- Fixed bug in generation of triangular type-1 sets
version 0.1.34 - 18.11.2019
- Ability to create Interval Type-2 fuzzy sets having a gaussian function with fixed mean and fixed standard deviation as per Karnik and Mendel 1996 - Karnik, Nilesh N., and Jerry M. Mendel. "Introduction to type-2 fuzzy logic systems." 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98CH36228). Vol. 2. IEEE, 1998.
- An experimental way to define General Type-2 fuzzy sets through horizonal slices
version 0.1.33 - 15.11.2019
- Updated repo information
version 0.1.32 - 15.11.2019
version 0.1.31 - 12.11.2019
- Added library website
- Convert a gt2fs into an it2fs -An it2fs can be generated form a gt2fs by using from_general_type2_set
- Creation of it2fs as found in literature - Creation of it2fs as specified by Karnik and Mendel
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