PyPerC: Python toolbox for perceptual computing
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- Type
- article
- Published
- 2018-02-01
- Cited by
- 0
- References
- 14
- OpenAlex
- https://openalex.org/W2797837731
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4861429
Keywords
Toolbox, Python (programming language), Computer science, Perception, Human–computer interaction
References
- Juzzy - A Java based toolkit for Type-2 Fuzzy Logic
- Encoding words into Cloud models from interval-valued data via fuzzy statistics and membership function fitting
- Approximated Type-2 Fuzzy Set Operations
- Computing with Words: Zadeh, Turing, Popper and Occam
- Concave type-2 fuzzy sets: properties and operations
- Enhanced Interval Approach for Encoding Words Into Interval Type-2 Fuzzy Sets and Its Convergence Analysis
- A toolbox for fuzzy clustering using the R programming language
- Type-2 fuzzy sets made simple
- Interval Type-2 Fuzzy Logic Systems Made Simple
- On the calculation of extended max and min operations between convex fuzzy sets of the real line
- Fuzzy logic = computing with words
- The Linguistic Weighted Average
- Operations on Concavoconvex Type-2 Fuzzy Sets
- Fuzzycreator: A python-based toolkit for automatically generating and analysing data-driven fuzzy sets
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