Fuzzy sets and applications
Default knowledge and measures of specificity
Information Sciences: an International Journal
Credibility discounting in the theory of approximate reasoning
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
Fuzzy Sets and Systems
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
A cognitive interactionist sentence parser with simple recurrent networks
Information Sciences: an International Journal
Random weighting estimation for fusion of multi-dimensional position data
Information Sciences: an International Journal
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
Learning interpretable fuzzy inference systems with FisPro
Information Sciences: an International Journal
Information Sciences: an International Journal
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In order to provide for the representation and manipulation of human sourced soft information we turn to the fuzzy set based theory of approximate reasoning. We describe how approximate reasoning provides a framework for representing and manipulating a wide body linguistically expressed information. We then suggest a number of extensions of the theory to enhance its representational capacity. One such extension focuses on the ability to model imprecise variables as well as imprecise values for the variable. We consider the representation of possible qualified propositions. We look at the issue of deduction in the face of conflict in our knowledge base and suggest an approach compatible with human behavior.