Analysis of tensions in a population based on the adequacy concept

J. Aguilar-Martin, N. Agell, M. Sánchez, F. Prats

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

2 Cites (Scopus)

Resum

The concept of similarity between objects has traditionally been taken as the criterion for recognising their membership of a given class. This paperconsider s how well an object fits into a class by using the concept of adequacy introduced by the LAMDA learning system [6],[9]. 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 defined by means of the adequacy of an object in a class. This allows us to analyse the stability orbalance of the scheme. An example is given in the form of the adequacy and the tension of a classification scheme fora group of customers patronising an imaginary shop.

Idioma originalAnglès
Títol de la publicacióTopics in Artificial Intelligence - 5th Catalonian Conference on AI, CCIA 2002, Proceedings
EditorsM. Teresa Escrig, Francisco Toledo, Elisabet Golobardes
EditorSpringer Verlag
Pàgines17-28
Nombre de pàgines12
ISBN (electrònic)3540000119, 9783540000112
DOIs
Estat de la publicacióPublicada - 2002
Publicat externament
Esdeveniment5th Catalonian Conference on Artificial Intelligence, CCIA 2002 - Castellon, Spain
Durada: 24 d’oct. 200225 d’oct. 2002

Sèrie de publicacions

NomLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volum2504
ISSN (imprès)0302-9743

Conferència

Conferència5th Catalonian Conference on Artificial Intelligence, CCIA 2002
País/TerritoriSpain
CiutatCastellon
Període24/10/0225/10/02

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