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METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC


Bonato, Jasminka
METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC // DAAAM INTERNATIONAL SCIENTIFIC BOOK 2013 / Katalinić, Branko& Tekić, Željko (ur.).
Vienna: DAAAM International Vienna, 2013. str. 849-856


Naslov
METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC

Autori
Bonato, Jasminka

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, ostalo

Knjiga
DAAAM INTERNATIONAL SCIENTIFIC BOOK 2013

Urednik/ci
Katalinić, Branko& Tekić, Željko

Izdavač
DAAAM International Vienna

Grad
Vienna

Godina
2013

Raspon stranica
849-856

ISBN
978-3-901509-94-0

Ključne riječi
Neizrazita (engl. fuzzy) logika, FIS, ekspertni sustavi, MAtlab
(Fuzzy logic, Fuzzy Inference System, expert systems, Matlab)

Sažetak
Methods of artificial management represent a new approach to problem management in numerous applications in technical systems. The aim of paper is to demonstrate the application of fuzzy logic in the process of management and control of technical systems (Zimmermann, 2001). Program tool "Fuzzy Logic Toolbox" is used in this work. Its functions are called within software package Matlab. Fuzzy logic at the controlled engine speed is applied, input and output variables are selected, fuzzy sets are specified, and their shape is defined through membership function. The value that reflects the linguistic meaning of each fuzzy set is defined. Results enable the value estimation of the output parameters. This leads to the solution of the identified problem, with the help of base of fuzzy rules for observed characteristics which are stored within the model. If the number of input and output variables increases, this influences inference mechanism and solution reliability, through the use of artificial intelligence methods (expert systems, neural network, fuzzy logic, fuzzy, genetic algorithm).

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Temeljne tehničke znanosti



POVEZANOST RADA


Projekt / tema
112-1121722-3308 - KVANTITATIVNE METODE U FUNKCIJI OPTIMALNOG UPRAVLJANJA POMORSKIM SUSTAVOM (Ante Bistričić, )

Ustanove
Pomorski fakultet, Rijeka

Autor s matičnim brojem:
Jasminka Bonato, (218096)