Title:

Applying neuro-intuitionistic-fuzzy classifier for intelligent decision support in medical diagnosis

Subtitle:

Raport Badawczy = Research Report ; RB/60/2002

Creator:

Grądzki, Piotr : Autor

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2002

Description:

[10] pages ; 21 cm ; Bibliography p. [9-10]

Type of object:

Book/Chapter

Subject and Keywords:

Intuicjonistyczne zbiory rozmyte ; Intuitionistic fuzzy sets ; Medical diagnosis ; Diagnoza medyczna ; Fuzzy rule-based classification ; Neuro-intuitionistic fuzzy classifier ; Intelligent decision support systems ; Inteligentne systemy wspomagania decyzji

Abstract:

The paper presents the Neuro-Intuitionistic-Fuzzy Classifier as a theoretical tool for building intelligent decision support systems in medical diagnosis. The proposed approach combines two main methodologies: artificial neural networks and intuitionistic fuzzy sets. The paper briefly presents the structure of the proposed system, and an algorithm for designing it. The proposed solution has beed successfully implemented and applied for solving the real-life decision-making problem from the medical domain: diagnosis of diabetes in Pima Indians female population.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2002-60

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