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Publisher: European Society for Fuzzy Logic and Technology EUFLAT

Issued date: 1999

Citation: Proceedings of the 1999 EUSFLAT-ESTYLF Joint Conference G. Mayor and J. Suñer, eds., p. 275-278

Review: PeerReviewed

Publisher version: http:-www.eusflat.org-publications-proceedings-EUSFLAT-ESTYLF 1999-

Keywords: Domain analysis , Classification , Fuzzy System

Abstract:Domain analysis tries to reuse software in an effective way. New methodologies are starting to be able to automate the process, in different degrees, with the construction of a domain model for each problem. The general process is divided into several phases. Domain analysis tries to reuse software in an effective way. New methodologies are starting to be able to automate the process, in different degrees, with the construction of a domain model for each problem. The general process is divided into several phases. One of the most diffcult tasks is the generation of the relationships which have to be defined between the components in the domain. In this paper the use of fuzzy logic and a statistical classification method in order to get the semantic relationships for each pair of components is presented.+-

Description:4 pages, no figures.- Contributed to: 1999 EUSFLAT-ESTYLF Joint Conference Palma de Mallorca, Spain, Sep 22-25, 1999.





Autor: Díaz, Irene; Velasco, Manuel; Molina, José M.

Fuente: http://e-archivo.uc3m.es


Introducción



Universidad Carlos III de Madrid Repositorio institucional e-Archivo http:--e-archivo.uc3m.es Grupo de Inteligencia Artificial Aplicada (GIAA) DI - GIAA - Comunicaciones en Congresos y otros eventos 1999 Fuzzy reasoning in K-means classification method Díaz, Irene European Society for Fuzzy Logic and Technology (EUFLAT) Proceedings of the 1999 EUSFLAT-ESTYLF Joint Conference (G.
Mayor and J.
Suñer, eds.), p.
275-278 http:--hdl.handle.net-10016-9317 Descargado de e-Archivo, repositorio institucional de la Universidad Carlos III de Madrid Fuzzy Reasoning In K-Means Classication Method Irene DIAZ, Manuel VELASCO and Jose M.
MOLINA Departamento de Informatica Universidad Carlos III of Madrid, Butarque, 15 28911 Leganes, Madrid, Espa~na Summary Domain analysis tries to reuse software in an e ective way.
New methodologies are starting to be able to automate the process, in di erent degrees, with the construction of a domain model for each problem.
The general process is divided into several phases.
One of the most dicult tasks is the generation of the relationships which have to be dened between the components in the domain.
In this paper the use of fuzzy logic and a statistical classication method in order to get the semantic relationships for each pair of components is presented. Keywords: Domain analysis, Classicaton, Fuzzy System. 1 INTRODUCTION Information classifying techniques usually use clustering algorithms to order the information.
Each of those methods must measure distances between two vectors (that represent the information 8]).
These distances are used to decide if a given vector belongs to a cluster or not.
As the nature of the problem is often inexact and subjective, the use of a traditional distance does not provide successful results because such distances do not take account of all semantic information known about the data.
Then, the use of a knowledgebased system to solve the problem allows us to take advantage of the semantic inform...





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