Sedàs: A semantic based general classifier system.

Aïda Valls; David Riaño; Vicenç Torra

Mathware and Soft Computing (1997)

  • Volume: 4, Issue: 3, page 267-279
  • ISSN: 1134-5632

Abstract

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In this work we present the general classifier system Sedàs. We show how this system implements the description of the domain and how it builds similarity matrices and classification trees. The system uses a new semantics, introduced in [Torra96], to define a distance between qualitative values.

How to cite

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Valls, Aïda, Riaño, David, and Torra, Vicenç. "Sedàs: A semantic based general classifier system.." Mathware and Soft Computing 4.3 (1997): 267-279. <http://eudml.org/doc/39113>.

@article{Valls1997,
abstract = {In this work we present the general classifier system Sedàs. We show how this system implements the description of the domain and how it builds similarity matrices and classification trees. The system uses a new semantics, introduced in [Torra96], to define a distance between qualitative values.},
author = {Valls, Aïda, Riaño, David, Torra, Vicenç},
journal = {Mathware and Soft Computing},
keywords = {Análisis cluster; Algoritmos de clasificación; Adquisición de datos; Análisis cualitativo; Lenguajes formales; Matrices de datos; Representación de grupos},
language = {eng},
number = {3},
pages = {267-279},
title = {Sedàs: A semantic based general classifier system.},
url = {http://eudml.org/doc/39113},
volume = {4},
year = {1997},
}

TY - JOUR
AU - Valls, Aïda
AU - Riaño, David
AU - Torra, Vicenç
TI - Sedàs: A semantic based general classifier system.
JO - Mathware and Soft Computing
PY - 1997
VL - 4
IS - 3
SP - 267
EP - 279
AB - In this work we present the general classifier system Sedàs. We show how this system implements the description of the domain and how it builds similarity matrices and classification trees. The system uses a new semantics, introduced in [Torra96], to define a distance between qualitative values.
LA - eng
KW - Análisis cluster; Algoritmos de clasificación; Adquisición de datos; Análisis cualitativo; Lenguajes formales; Matrices de datos; Representación de grupos
UR - http://eudml.org/doc/39113
ER -

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