Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Kleene's three valued logics and their children
Fundamenta Informaticae
Triangular norms on product lattices
Fuzzy Sets and Systems - Special issue on triangular norms
Bilattice-Based squares and triangles
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Uncertainty Modeling by Bilattice-Based Squares and Triangles
IEEE Transactions on Fuzzy Systems
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
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Many realistic decision aid problems are fraught with facets of ambiguity, uncertainty and conflict, which hamper the effectiveness of conventional and fuzzy preference modeling approaches, and command the use of more expressive representations. In the past, some authors have already identified Ginsberg's/Fitting's theory of bilattices as a naturally attractive candidate framework for representing uncertain and potentially conflicting preferences, yet none of the existing approaches addresses the real expressive power of bilattices, which lies hidden in their associated truth and knowledge orders. As a consequence, these approaches have to incorporate additional conventions and ‘tricks' into their modus operandi, making the results unintuitive and/or tedious. By contrast, the aim of this paper is to demonstrate the potential of (rectangular) bilattices in encoding not just the problem statement, but also its generic solution strategy.