New Knowledge Obtaining in Structural-predicate Models of Knowledge


Autoria(s): Koval, Valeriy; Kuk, Yuriy
Data(s)

20/12/2009

20/12/2009

2005

Resumo

An effective mathematical method of new knowledge obtaining on the structure of complex objects with required properties is developed. The method comprehensively takes into account information on the properties and relations of primary objects, composing the complex objects. It is based on measurement of distances between the predicate groups with some interpretation of them. The optimal measure for measurement of these distances with the maximal discernibleness of different groups of predicates is constructed. The method is tested on solution of the problem of obtaining of new compound with electro-optical properties.

Identificador

1313-0463

http://hdl.handle.net/10525/786

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #New Knowledge #Predicates #Complex Objects #Primary Objects #Maximal Discernibleness
Tipo

Article