Abstract
Linguistics in the 20th century have had a great influence on the general concept of intelligent fuzzy computing. The modern view of language is that the essence of language can be found in its everyday use. I believe that human intelligence is created by using language. Therefore, if we consider the implementation of intelligent systems, then we must take into consideration language itself and/or it's direct correlation to human linguistic ability. Fuzzy computing is related to language by both the vagueness of language and linguistic modeling. In the human linguistic system, Systemic Functional Linguistics proposed by Halliday, has had the greatest influence on the theory in which language is treated as a system of meanings rather than a system of grammar. In the paradigm of intelligent fuzzy computing, language is regarded as a metalanguage for dealing with the meaning of information, and the Systemic Functional Linguistics theory interprets the sense of language. Intelligent computing uses the techniques of the fuzzy computing, as it deals with the meanings of language. In order to do this, a large scale database is needed. The construction of such a database is not beyond reality, due to the limited sphere of human activities.
