DocumentCode :
287992
Title :
Systems modelling with natural language and fuzzy logic
Author :
Korn, J.
Author_Institution :
Middlesex Univ., London, UK
fYear :
1993
fDate :
1993
Firstpage :
42705
Lastpage :
42708
Abstract :
We appear to be surrounded by a multitude of concrete and abstract objects, which may be seen in terms of recurring, constant conjunction of properties. In linguistic terms such conjunctions are expressed as nouns, non-recurring conjunctions are symbolised as phrases or clauses. Such objects come into being, fade out of existence or, if already exist, can change their properties either as a result of a spontaneous process, chance or in accordance with a purpose i.e. as per specifications. An assembly of identified objects interacting in terms of physical power or influence, which carry the appropriate kind of energy or information, connected in a specific topology, and engaged in bringing about a change of property, is referred to as a system. The problem seems to be the lack of a comprehensive, inferential structure for evaluating the nature of outcomes of a situation. The author looks at how such an inferential structure can be created by converting aspects of natural language, the `raw symbolism´, into a formal language which is capable of being expressed as `chains´ of predicate logic terms carrying the adjectives, adverbs and verbs that can be written as fuzzy sets
Keywords :
formal languages; fuzzy logic; fuzzy set theory; natural languages; adjectives; adverbs; formal language; fuzzy logic; fuzzy sets; inferential structure; natural language; predicate logic; verbs;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Two Decades of Fuzzy Control - Part 2, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
369551
Link To Document :
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