Multi-valued Color Representation Based on Frank t-norm Properties
This work addresses the representation of imprecise information in domains like color analysis, but it appears incremental as it builds on existing fuzzy and multi-valued logic concepts without demonstrating broad advancements.
The paper tackles the problem of representing imprecise properties with unknown or contradictory degrees by proposing two knowledge representation models, FP4 and FP6, which combine fuzzy sets with four-valued and hexa-valued logics, and discusses their potential application in color analysis and image processing.
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.