ATTRIBUTE GRAMMARS IN DECISION MAKING.

Moraietis, C; Papakonstantinou, G

dc.contributor.author	Moraietis, C	en
dc.contributor.author	Papakonstantinou, G	en
dc.date.accessioned	2014-03-01T02:40:49Z
dc.date.available	2014-03-01T02:40:49Z
dc.date.issued	1986	en
dc.identifier.issn	01912216	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30237
dc.subject	Attribute Grammar	en
dc.subject	Conditional Probability	en
dc.subject	Decision Making	en
dc.subject	Decision Making Process	en
dc.subject	Fuzzy Set	en
dc.subject	Expert System	en
dc.subject.other	ARTIFICIAL INTELLIGENCE - Expert Systems	en
dc.subject.other	AUTOMATA THEORY - Grammars	en
dc.subject.other	COMPUTER OPERATING SYSTEMS - Program Interpreters	en
dc.subject.other	MATHEMATICAL TECHNIQUES - Fuzzy Sets	en
dc.subject.other	ATTRIBUTE GRAMMARS IN DECISION MAKING	en
dc.subject.other	HORN CLAUSES	en
dc.subject.other	ROBUST ATTRIBUTE GRAMMAR INTERPRETER	en
dc.subject.other	DECISION THEORY AND ANALYSIS	en
dc.title	ATTRIBUTE GRAMMARS IN DECISION MAKING.	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CDC.1986.267412	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CDC.1986.267412	en
heal.publicationDate	1986	en
heal.abstract	The applicability of attribute grammars in decision making processes is briefly illustrated in the present paper. Decisions are considered as based on Horn clauses, which can be assigned conditional probabilities, if required. Moreover, it is shown that the algebra of fuzzy" sets can be equally implemented, using attribute grammars. The proposed approach to decision making can be found useful in	en
heal.publisher	IEEE, New York, NY, USA	en
heal.journalName	Proceedings of the IEEE Conference on Decision and Control	en
dc.identifier.doi	10.1109/CDC.1986.267412	en
dc.identifier.spage	647	en
dc.identifier.epage	648	en