Intelligent system modeling with total fuzzy grammars

  • Authors:

  • Ralf Fabian;Vasile Crăciunean;Emil Marin Popa

  • Affiliations:

  • Department for Computer Sciences and Economic Informatics, "Lucian Blaga" University of Sibiu, Sibiu, Romania;Department for Computer Sciences and Economic Informatics, "Lucian Blaga" University of Sibiu, Sibiu, Romania;Department for Computer Sciences and Economic Informatics, "Lucian Blaga" University of Sibiu, Sibiu, Romania

  • Venue:
  • MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
  • Year:
  • 2006

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Abstract

In this study we introduce the concept of total fuzzy grammars. Such grammars may be a useful tool for developing intelligent systems based on formal language theory. These reasoning can help us in generating words of the language with membership degrees to the maximal language. In the end we present an algorithm for calculating membership degrees of terminal and nonterminal symbols. In this algorithm the interesting part is based on an extension operator design for auto-instructed stimulation. The result is a flexible tool witch is extendable to various tasks and domains. The goal of our approach here is to support the development of software products that have some knowledge and the ability of self instruction. An intelligent system must have a collection of information or a knowledgebase that enables him to treat information in such manner to obtain solutions for certain problems und to update these collections