G
Goran Ćirović
Researcher at University of Novi Sad
Publications - 26
Citations - 1244
Goran Ćirović is an academic researcher from University of Novi Sad. The author has contributed to research in topics: Fuzzy logic & Rough set. The author has an hindex of 11, co-authored 26 publications receiving 758 citations. Previous affiliations of Goran Ćirović include University of Novi Sad Faculty of Technical Sciences.
Papers
More filters
Journal ArticleDOI
The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)
Dragan Pamučar,Goran Ćirović +1 more
TL;DR: Through the research presented in this paper, it is shown that the new MABAC method of multi-criteria decision-making is a useful and reliable tool for rational decision- making.
Journal ArticleDOI
Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers
TL;DR: It is shown that by integrating the rough approach with the traditional fuzzy approach, the subjectivity that exists when defining the borders of fuzzy sets is eliminated.
Journal ArticleDOI
The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods
Željko Stević,Dragan Pamučar,Edmundas Kazimieras Zavadskas,Goran Ćirović,Olegas Prentkovskis +4 more
TL;DR: A new approach based on a combination of the Simple Additive Weighting method and rough numbers, which is used for ranking the potential solutions and selecting the most suitable one, shows very high stability of the model and ranks that are the same or similar in different scenarios.
Journal ArticleDOI
Application of Improved Best Worst Method (BWM) in Real-World Problems
TL;DR: The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion, and presents the applicability of this method to defining the weight coefficients of the criteria in the field of renewable energy and their ranking.
Journal ArticleDOI
A new intelligent MCDM model for HCW management: The integrated BWM–MABAC model based on D numbers
TL;DR: How D numbers can be used when making a selection of an HCW management device is shown, and also how all the characteristics of such a device can be perceived and how the device demonstrating the best characteristics can be selected.