Pregled bibliografske jedinice broj: 140320
Small Changes Management Method
Small Changes Management Method // Proceedings of the 13th International Conference on Information and Intelligent Systems - IIS 2002 / Aurer, Boris ; Lovrenčić, Alen (ur.).
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2002. str. 213-224 (predavanje, domaća recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 140320 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Small Changes Management Method
Autori
Kliček, Božidar
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 13th International Conference on Information and Intelligent Systems - IIS 2002
/ Aurer, Boris ; Lovrenčić, Alen - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2002, 213-224
Skup
13th International Conference on Information and Intelligent Systems - IIS 2002
Mjesto i datum
Varaždin, Hrvatska, 25.09.2002. - 27.09.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Domaća recenzija
Ključne riječi
intelligent systems; knowledge discovery in databases; data mining; changes management; complex systems
Sažetak
This article describes a theoretical background of the method called Small Changes Management Method (SCMM) and presents its application and simplified verification. The approach builds a nonlinear model of a system as first. Changes in the system are then optimized with the aid of genetic algorithms. The SCMM method is an attempt to integrate several advanced information technologies, management methods and some operational research techniques, to obtain an innovative and efficient tool for management of complex systems. SCMM is based on the advantages of the new Knowledge Discovery in Databases (KDD) and Data Mining (DM) techniques that are able to model most complex systems accurately outperforming previously established linear methods. KDD and DM generally create models of complex systems represented by neural networks, rules, decision trees and polynoms. These models are completed with the aid of Web based group decision support systems to create a complete intelligent model of a complex system. Additionally, with the aid of group techniques they identify goals and the way of changes in this complex system. The overall model is a base for optimization of the changes in this complex system with the aid of genetic algorithms. An application of the method is described in the development of the tourism strategy. &laquo ; ; Classical&raquo ; ; linear methods and SCMM are compared and weaknesses and strengths of both approaches are identified.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
0016014
Ustanove:
Fakultet organizacije i informatike, Varaždin
Profili:
Božidar Kliček
(autor)