Pregled bibliografske jedinice broj: 662724
METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC
METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC // DAAAM INTERNATIONAL SCIENTIFIC BOOK 2013 / Katalinić, Branko& Tekić, Željko (ur.).
Beč: DAAAM International Vienna, 2013. str. 849-856
CROSBI ID: 662724 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Beč
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
Projekti:
112-1121722-3308 - KVANTITATIVNE METODE U FUNKCIJI OPTIMALNOG UPRAVLJANJA POMORSKIM SUSTAVOM (Bistričić, Ante, MZOS ) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka
Profili:
Jasminka Bonato
(autor)