Expressing constraint satisfaction problems in declarative modeling using natural language and fuzzy sets
Identifieur interne : 000085 ( France/Analysis ); précédent : 000084; suivant : 000086Expressing constraint satisfaction problems in declarative modeling using natural language and fuzzy sets
Auteurs : Emmanuel Desmontils [France]Source :
- Computers & Graphics [ 0097-8493 ] ; 2000.
Abstract
The aim of this paper is to provide a new model of fuzzy or vague properties according to linguistic notions within the scope of declarative modeling and constraint satisfaction problems (CSPs). Some generic modifiers and generic fuzzy operators are applied on these properties. This model allows us to build a CSP according a pseudo-natural scene description. Solving this CSP provides possible scenes. Moreover, we propose a linguistic interpretation of negative properties instead of the classical logical negation. This negation process selects plausible properties as linguistic negation. Then, it sorts them to provide first the ones that have the best chance to be selected by the user.
Url:
DOI: 10.1016/S0097-8493(00)00058-3
Affiliations:
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