Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
A Resemblance Approach to Analogical Reasoning Functions
IJCAI '95 Selected papers from the Workshop on Fuzzy Logic in Artificial Intelligence, Towards Intelligent Systems
A symbolic approximate reasoning under fuzziness
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
A symbolic approach to vagueness management
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
A symbolic approximate reasoning
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Particle petri nets for aircraft procedure monitoring under uncertainty
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Hi-index | 0.00 |
This paper presents a new model for handling nuanced information expressed in an affirmative form like "x is m驴 A". In this model, nuanced information are represented in a qualitative way within a symbolic context. For that purpose, vague terms and linguistic modifiers that operate on them are defined. The model presented is based on a symbolic M-valued predicate logic and provides a new deduction rule generalizing the Modus Ponens rule.