Selection criteria for fuzzy unsupervised learning: Applied to market segmentation

Germán Sánchez, Núria Agell, Juan Carlos Aguado, Mónica Sánchez, Francesc Prats

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

2 Cites (Scopus)

Resum

The use of unsupervised fuzzy learning methods produces a large number of alternative classifications. This paper presents and analyzes a series of criteria to select the most suitable of these classifications. Segmenting the clients' portfolio is important in terms of decision-making in marketing because it allows for the discovery of hidden profiles which would not be detected with other methods and it establishes different strategies for each defined segment. In the case included, classifications have been obtained via the LAMDA algorithm. The use of these criteria reduces remarkably the search space and offers a tool to marketing experts in their decision-making.

Idioma originalAnglès
Títol de la publicacióFoundations of Fuzzy Logic and Soft Computing - 12th International Fuzzy Systems Association World Congress, IFSA 2007, Proceedings
EditorSpringer Verlag
Pàgines307-317
Nombre de pàgines11
ISBN (imprès)9783540729174
DOIs
Estat de la publicacióPublicada - 2007
Publicat externament
Esdeveniment12th International Fuzzy Systems Association World Congress, IFSA 2007 - Cancun, Mexico
Durada: 18 de juny 200721 de juny 2007

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum4529 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència12th International Fuzzy Systems Association World Congress, IFSA 2007
País/TerritoriMexico
CiutatCancun
Període18/06/0721/06/07

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