Analysis of tensions in a population based on the adequacy concept: Topics in artificial intelligence

Núria Agell Jané, José Aguilar Martin, Francesc Prats Duaygues, Mònica Sánchez Soler

Producció científica: Capítol de llibreCapítol

Resum

The concept of similarity between objects has traditionally been taken as the criterion for recognising their membership of a given class. This paper considers how well an object fits into a class introduced into the LAMDA learning system [6],[9]. This fit is termed "adequacy". The Global Adequacy Degree (GAD) is a function of the object's class membership. An adequacy threshold is associated with a non-informative class (NIC). Objects falling below this threshold value are not considered to belong to any significant class. In this research, the tensions produced by a classification scheme are based on the adequacy of an object in a class. This allows us to analyse the stability or balance of the scheme.
Idioma originalAnglès
Títol de la publicacióTopics in artificial intelligence
Pàgines17-28
Estat de la publicacióPublicada - 1 d’oct. 2002

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