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undergraduate thesis
Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2018. urn:nbn:hr:145:928046
Javorek, David
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

Cite this document

Javorek, D. (2018). Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:928046

Javorek, David. "Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:928046

Javorek, David. "Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:928046

Javorek, D. (2018). 'Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:145:928046

Javorek D. Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2018 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:145:928046

D. Javorek, "Menadžerski sustavi za podršku odlučivanju- ekspertni sustavi", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:145:928046

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Metadata
TitleMenadžerski sustavi za podršku odlučivanju- ekspertni sustavi
Title (english)Management support systems – Expert systems
AuthorDavid Javorek
MentorJerko Glavaš (mentor)
Committee memberJerko Glavaš (predsjednik povjerenstva)
Committee memberDražen Ćućić (član povjerenstva)
Committee memberDavor Dujak (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
(Chair of Quantitative Methods and Informatics)
Osijek
Defense date and country2018-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
Sustav potpore odlučivanju je računalni sustav koji podupire menadžera prilikom procesa odlučivanja tako što mu pomaže prilikom rješavanja složenih problema donošenja odluka. Glavni ciljevi DSS-a (engl. Decision Support System) su pomoći u rješavanju polustrukturiranih problema i pružanje potpore, a ne zamjena menadžera. DSS se sastoji od: korisničkog sučelja, sustava za upravljanje bazom ili skladištem podataka, sustava za upravljanje bazom modela te sustava za upravljanje dokumentima. Jedan od važnijih DSS-a su ekspertni sustavi. Ekspertni sustavi su programi iz područja umjetne inteligencije koji rješavaju probleme na razini eksperata. Prilikom rješavanja tih problema, koriste se znanjem i zaključivanjem. Ekspertni sustavi imaju mnoge prednosti u odnosu na stručnjake, a neke od njih su: raspoloživost, dostupnost, cijena, pouzdanost, performanse, trajnost i brzina. Ekspertni sustavi se sastoje od: korisničkog sučelja, mehanizma za zaključivanje, baze znanja i baze činjenica. Proces zaključivanja kod ekspertnog sustava se može odvijati u jednom od 2 smjera: od činjenice prema zaključku ili od postavljene hipoteze (cilja) prema činjenicama te tako postoji zaključivanje prema naprijed i zaključivanje prema nazad. U okviru poslovnog sustava, ekspertni sustavi se mogu koristiti u sljedećim područjima: proizvodnji, upravljanju ljudskim resursima, u računovodstvu i reviziji, marketingu i u razvijanju informacijskog sustava. Pri tome rješavaju probleme kontrole, dizajna, predviđanja, nadgledavanja, dijagnoze, interpretacije, planiranja, uputstva, propisa i odabira.
Abstract (english)
The decision support system is a computer system that supports a manager in the process of making decision by assisting him in solving complex decision-making problems. The main goals of the DSS (Decision Support System) are to assist in solving the semi-structured problems and to provide support, but the system is not a substitute for a manager. The parts of DSS are: user interface, database management system or data warehouse, model database management system and document management system. One of the most important DSSs are the expert systems. Expert systems are programs in the field of artificial intelligence that can solve problems at the level of experts. When solving these problems, they use knowledge and inference. Expert systems have many advantages over the experts, some of them are: availability, price, reliability, performance, durability and speed. Aforementioned expert systems consist of: user interface, conceptualization mechanism, knowledge base and factual basis. The process of conclusion in the expert system can take place in one of two directions: from fact to conclusion or hypothesis (goal) according to the facts, therefore there are two types of conclusions: looking forward and looking backward. Furthermore, expert systems in business can be used in the following areas: production, human resource management, accounting and auditing, marketing and information system development. On that way, they solve the problems of control, design, prediction, monitoring, diagnosis, interpretation, planning, instructions, regulations and selections.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:928046
Study programmeTitle: Entrepreneurship
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryEFOS REPOSITORY
Created on2018-11-14 13:06:54