Multi-valued Color Representation Based on Frank t-norm Properties

TL;DR

This paper introduces two novel knowledge representation models, FP4 and FP6, that combine fuzzy set theory with multi-valued logics to handle imprecise and contradictory color information in image processing.

Contribution

The paper proposes two new models, FP4 and FP6, integrating fuzzy sets with four-valued and hexa-valued logics for better color data representation.

Findings

Models effectively represent uncertain color properties.

Application potential in color image analysis.

Enhances handling of contradictory color information.

Abstract

In this paper two knowledge representation models are proposed, FP4 and FP6. Both combine ideas from fuzzy sets and four-valued and hexa-valued logics. Both represent imprecise properties whose accomplished degree is unknown or contradictory for some objects. A possible application in the color analysis and color image processing is discussed.