Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Login: A logic programming language with built-in inheritance
Journal of Logic Programming
Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
The logic of typed feature structures
The logic of typed feature structures
An order-sorted logic for knowledge representation systems
Artificial Intelligence
Theory of generalized annotated logic programming and its applications
Journal of Logic Programming
Annotated fuzzy logic programs
Fuzzy Sets and Systems
ICCS '93 Proceedings on Conceptual Graphs for Knowledge Representation
Basic Conceptual Structures Theory
ICCS '94 Proceedings of the Second International Conference on Conceptual Structures: Current Practices
Views, Mappings and Functions: Essential Definitions to The Conceptual Graph Theory
ICCS '94 Proceedings of the Second International Conference on Conceptual Structures: Current Practices
Universal Marker and Functional Relation: Semantics and Operations
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Fuzzy Unification and Resolution Proof Procedure for Fuzzy Conceptual Graph Programs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Fuzzy Order-Sorted Logic Programming in Conceptual Graphs with a Sound and Complete Proof Procedure
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Ontological approach to development of computing with words based systems
International Journal of Approximate Reasoning
Language structure using fuzzy similarity
IEEE Transactions on Fuzzy Systems
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Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of natural language, where conceptual graphs provide a structure of formulas close to that of natural language sentences white fuzzy logic provides a methodology for computing with words. This paper proposes fuzzy conceptual graphs as a knowledge representation language that combines the advantages of both the two formalisms for artificial intelligence approaching human expression and reasoning. Firstly, the conceptual graph language is extended with functional relation types for representing functional dependency, and conjunctive types for joining concepts and relations. Then fuzzy conceptual graphs are formulated as a generalization of conceptual graphs where fuzzy types and fuzzy attribute-values are used in place of crisp types and crisp attribute-values. Projection and join as basic operations for reasoning on fuzzy conceptual graphs are defined, taking into account the semantics of fuzzy set-based values.