Ljubomir Gigović
Management Science and Operations Research · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 15 citations into it; #8,682 of 11,946 by trust here, #8,062 by citations
- Artificial Intelligence — 10 citations into it
- Global and Planetary Change — 8 citations into it
- Sociology and Political Science — 8 citations into it
Whom Ljubomir Gigović trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ljubomir Gigović overall
Papers from Ljubomir Gigović's perspective
Ordered by how strongly the researchers Ljubomir Gigović trusts endorse each paper. Same corpus, a different order for every researcher.
- Best-worst multi-criteria decision-making method
- Best-worst multi-criteria decision-making method: Some properties and a linear model
- Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia
- Fuzzy best-worst multi-criteria decision-making method and its applications (Knowledge-Based Systems)
- Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (European Journal of Operational Research)
- Extended VIKOR method in comparison with outranking methods (European Journal of Operational Research)
- Genetic Algorithms in Search Optimization and Machine Learning
- Decision Analysis And Behavioral Research
- Linking supplier development to supplier segmentation using Best Worst Method (Expert systems with applications)
- SPEA2: Improving the strength pareto evolutionary algorithm
Their papers
- Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers (2017) — 139 citations
- Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia (2017) — 314 citations
- Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms (2021) — 168 citations