Title:

Classification of imbalanced and overlaping classes using intuitionistic fuzzy sets

Subtitle:

Raport Badawczy = Research Report ; RB/40/2005

Creator:

Szmidt, Eulalia : Autor ; Kukier, Marta : Autor

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2005

Description:

7 pages ; 21 cm ; Bibliography p. 7

Type of object:

Book/Chapter

Subject and Keywords:

Classification ; Klasyfikacja danych ; Intuicjonistyczne zbiory rozmyte ; Intuitionistic fuzzy sets

Abstract:

This paper describes works in progress on the problem of classification of imbalanced and overlaping classes using intuitionistic fuzzy sets. A fuzzy set approach is presented first — the classes are recognized using a fuzzy classifier. Next, an intuitionistic fuzzy set representation is proposed. We show that intuitionistic fuzzy classifier has some natural tendency to deal efficiently with imbalanced and overlaping data. We also explore in details the evalu­ation of the classifier results (especially from the point of view of recognizing the smaller class).

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2005-40

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open