Object structure
Title:

An intuitionistic fuzzy set based on approach to intelligent data analysis (an application to medical diagnoisis)

Subtitle:

Raport Badawczy = Research Report ; RB/62/2001

Creator:

Szmidt, Eulalia : Autor ; Kacprzyk, Janusz (1947– ) : Autor

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2001

Description:

13 pages ; 21 cm ; Bibliography p. 13

Type of object:

Book/Chapter

Subject and Keywords:

Intuicjonistyczne zbiory rozmyte ; Intuitionistic fuzzy sets ; Medical databases ; Medyczna baza danych ; Medical diagnosis ; Diagnoza medyczna ; Inteligentna analiza danych ; Statystyczna analiza danych

Abstract:

We propose a new approach for medical diagnosis by employing intuitionistic fuzzy sets. Solution is obtained by looking for the smallest distance between symptoms that are characteristic for a patient and symptoms describing illnesses considered. We point out advantages of this new technique over the method where intuitionistic fuzzy sets were also applied but the max-min-max compoition of intuitionistic fuzzy relations was used instead of taking into account all, unchanged symptom values as proposed in this article.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2001-62

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

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