Knowledge representation and acquisition in expert systems for pattern recognitionстатья
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Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.
Авторы:
Vasil’ev O.M. ,
Vetrov D.P. ,
Kropotov D.A.
Журнал:
Computational Mathematics and Mathematical Physics
Том:
47
Номер:
8
Год издания:
2007
Издательство:
Pleiades Publishing, Ltd
Местоположение издательства:
Road Town, United Kingdom
Первая страница:
1373
Последняя страница:
1397
DOI:
10.1134/S0965542507080155
Аннотация:
A new approach to the design of fuzzy expert systems is proposed. The representation of knowledge and the formation of statements by fuzzy logic tools are discussed in detail. A model of fuzzy inference is described. Primary attention is given to automatic extraction of knowledge (fuzzy inference rules) from a set of precedents. Various performance criteria for rules are introduced, and an algorithm for their generation (the method of effective restrictions) is proposed. An extension of the type of admissible rules by introducing a fuzzy disjunction operation is described. The possibility of optimizing the rules found is explored. The benefits of the approaches proposed are illustrated by experiments. В© 2007 Pleiades Publishing, Ltd.
Добавил в систему:
Кропотов Дмитрий Александрович