In 1978, Lotfi Zadeh proposed the Possibilistic Relational Universal Fuzzy (PRUF) language to represent and reason about imprecise knowledge. This paper introduces pyPRUF, a Python library implementing PRUF constructs for approximate reasoning. Through examples involving fuzzy relational databases and natural-language propositions, we illustrate how pyPRUF can facilitate the modelling and inference of fuzzy concepts.
A Python Library for PRUF
Castiello C.;Mencar C.;
2025-01-01
Abstract
In 1978, Lotfi Zadeh proposed the Possibilistic Relational Universal Fuzzy (PRUF) language to represent and reason about imprecise knowledge. This paper introduces pyPRUF, a Python library implementing PRUF constructs for approximate reasoning. Through examples involving fuzzy relational databases and natural-language propositions, we illustrate how pyPRUF can facilitate the modelling and inference of fuzzy concepts.File in questo prodotto:
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