A New Penta-valued Logic Based Knowledge Representation
Artificial Intelligence
2015-02-20 v1
Abstract
In this paper a knowledge representation model are proposed, FP5, which combine the ideas from fuzzy sets and penta-valued logic. FP5 represents imprecise properties whose accomplished degree is undefined, contradictory or indeterminate for some objects. Basic operations of conjunction, disjunction and negation are introduced. Relations to other representation models like fuzzy sets, intuitionistic, paraconsistent and bipolar fuzzy sets are discussed.
Keywords
Cite
@article{arxiv.1502.05562,
title = {A New Penta-valued Logic Based Knowledge Representation},
author = {Vasile Patrascu},
journal= {arXiv preprint arXiv:1502.05562},
year = {2015}
}
Comments
The 12th International Conference Information Processing and Management of Uncertainty in Knowledge-Based Systems, June 22-27, 2008, Malaga, Spain