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Vol 4, 2014
Pages: 472 - 483
Review paper
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INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
EKONOMSKI FAKULTET TRAVNIK U TRAVNIKU
PRAVNI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET ZA MEDIJE I KOMUNIKACIJE TRAVNIK U TRAVNIKU

u saradnji sa

MIT UNIVERZITET SKOPLJE, SJEVERNA MAKEDONIJA
VEVU, VELEUČILIŠTE LAVOSLAV RUZIČKA U VUKOVARU, HRVATSKA
VELEUČILIŠTE VIMAL, SISAK, HRVATSKA
CKKPI, TRAVNIK, BOSNA I HERCEGOVINA

organizuju

31. MEĐUNARODNU KONFERENCIJU

EKONOMSKE, PRAVNE I MEDIJSKE INTEGRACIJE BOSNE I HERCEGOVINE I ZEMALJA ZAPADNOG
BALKANA KAO KLJUČNI POKRETAČ EUROPSKIH VRIJEDNOSTI

12. – 13. decembar 2025. godine

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Received: 04.12.2014. >> Accepted: 13.12.2014. >> Published: 18.12.2014. Review paper

TRI RAZLIČITA PRISTUPA RJEŠAVANJU PROBLEMA VIŠEKRITERIJSKOG RAZLOMLJENO LINEARNOG PROGRAMIRANJA / THREE DIFFERENT APPROACHES TO SOLVING MULTI OBJECTIVE FRACTIONAL LINEAR PROGRAMMING

By
Sead Rešić ,
Sead Rešić

Prirodno matematički fakultet, University of Tuzla , Tuzla , Bosnia and Herzegovina

Tunjo Perić
Tunjo Perić

Ekonomski fakultet u Zagrebu, University of Zagreb , Zagreb , Croatia

Abstract

In this paper we show three different approaches to solving multi objective fractional linear programming with simplex algorithm. We show: (1) method of goals satisfaction, (2) method of goal programming and (3) fuzzy multi objective fractional linear programming. For the goal programming method we propose a simple approach of linearization of fractional linear goal functions. The efficacy of presented approaches to solving the multi objective fractional linear programming from the analyst and decision maker points of view is tested on the example of optimization of a company's production plan. The obtained results point at significant advantages of goal programming usage in comparison to the other two methods in solving this problem. The advantages of goal programming mirror themselves in a simplicity of its usage both for the analyst and the decision maker, as well as in the fact that decision maker can participate in the process of solving the problem by assigning the weight of the goal functions by which the certain weights reflect decision maker's preferences. 

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