Ir arriba
Información del artículo en conferencia

Management of sealed-bid auction curves: Applications of the Linear Hinges Model

E.F. Sánchez-Úbeda, J. García-González

In this paper it is proposed a new methodology for managing the data related to supply and demand curves of a sealed-bid auction market. We show how original data of these bidding curves can be compressed using the Linear Hinges Model (LHM), but without losing relevant market information. It is also presented a fuzzy representation of the LHM, which provides automatically a set of humanly understandable fuzzy rules. These rules are useful to describe qualitatively the quantity-price dependence given at the bidding curves. Several application examples are shown in detail and salient features of the model are also discussed.


Palabras clave: Bidding curves, supply functions, fuzzy modeling, automatic learning, fuzzy-rules induction

Proceedings of IPMU'2000, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Vol. II, pp. 917-924, ISBN Vol II: 84-95479-04-4, ISBN Obra completa: 84-95479-02-8, Madrid (España). 03 julio 2000

Fecha de publicación: julio 2000.



Cita:
E.F. Sánchez-Úbeda, J. García-González, Management of sealed-bid auction curves: Applications of the Linear Hinges Model, Proceedings of IPMU'2000, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Vol. II, pp. 917-924, ISBN Vol II: 84-95479-04-4, ISBN Obra completa: 84-95479-02-8. Madrid, España, 03-07 Julio 2000


    Líneas de investigación:
  • *Predicción y Análisis de Datos
  • *Programación de la Operación a Corto Plazo, Elaboración de Ofertas y Análisis de Reservas de Operación

IIT-00-014A

Aviso legal  |  Política de cookies |  Política de Privacidad

© Universidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería - ICAI, Instituto de Investigación Tecnológica

Calle de Santa Cruz de Marcenado, 26 - 28015 Madrid, España - Tel: (+34) 91 5422 800