Abstract
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 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 or balance of the scheme. An example is given in the form of the adequacy and the tension of a classification scheme for a group of customers patronising an imaginary shop.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agell, N., Aguado, J.C. Aplicación del clasificador LAMDA a la predicción de la fidelidad de clientes. CCIA 2000, Vilanova i la Geltrú, pp. 186–190
Agell, N., Aguado, J.C. A hybrid qualitative-quantitative classification technique applied to aid marketing decisions. ESOMAR Congress and Trade Exhibition 2001 Rome (Italy). September 2001
Aguilar-Martin J., J. Waissman, R. Sarrate, F. Nejjari, B. Dahhou On line expert situation assessment of the biological modes in a wastewater plant by means of fuzzy classification CIMCA’2001, Las Vegas (USA), 9–11 July 2001, 5p.
Aguilar-Martin J., L Haenlein, J. Waissman Knowledge-based signal analysis and case-based condition monitoring of a machine tool 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver (Canada), 25–28 July 2001, pp. 286–291
Ezop, P. ”Database marketing research”. A Marketing Research. Fall 1994, vol. 6, n. 4, p. 34.
Piera, N. Connectius de lógiques no estándard com a operadors d’agregació en classificació multivariable i reconeixement de formes. Ph.D. Thesis. Universitat Politécnica de Catalunya, 1987.
Piera N., and J. Aguilar-Martin. (1991). Controlling selectivity in nonstandard pattern recognition algorithms. Trans. in Syst. Man and Cybernetics, 21(1), 71–82.
Sarrate, R., J. Aguilar and J. Waissman (1998). On-line event-based supervision of a biotechnological process. In: Preprints for the 3rd Ifac Workshop on On-line Fault Detection and Supervision in the Chemical Process Industries, vol. 2. Solaize, France.
Waissman, J., J. Aguilar, B. Dahhou and G. Roux (1998). Généralisation du degré d’adequation marginale dans la méthode de classification LAMDA. 6émes Rencontres de la Société Francophone de Classification, Montpellier, France.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aguilar-Martin, J., Agell, N., Sánchez, M., Prats, F. (2002). Analysis of Tensions in a Population Based on the Adequacy Concept. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_2
Download citation
DOI: https://doi.org/10.1007/3-540-36079-4_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00011-2
Online ISBN: 978-3-540-36079-7
eBook Packages: Springer Book Archive