Title :
Expert rules refinement by solving fuzzy relational equations
Author :
Rotshtein, Alexander ; Rakytyanska, Hanna
Author_Institution :
Dept. of Ind. Eng. & Manage., Jerusalem Coll. of Technol., Jerusalem, Israel
Abstract :
In this paper, an approach to expert rules refinement within the framework of fuzzy relational calculus is proposed. The system of fuzzy rules can be rearranged as a collection of linguistic solutions of fuzzy relational equations using the composite system of fuzzy terms. Resolution of fuzzy relational equations guarantees the optimal number of fuzzy rules for each output fuzzy term and the optimal geometry of input fuzzy terms for each linguistic solution.
Keywords :
expert systems; fuzzy set theory; relational algebra; composite system; expert rules refinement; fuzzy relational calculus; fuzzy relational equations; fuzzy rules system; fuzzy terms; linguistic solution; optimal geometry; Equations; Genetic algorithms; Knowledge based systems; Mathematical model; Pragmatics; Tuning; Vectors; Expert rules refinement; solving fuzzy relational equations; structural tuning of knowledge bases;
Conference_Titel :
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location :
Sopot
Print_ISBN :
978-1-4673-5635-0
DOI :
10.1109/HSI.2013.6577833
