Претрага
349 items
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Model of Strategic Decision Making in Mining Industry Based on Fuzzy Dynamic TOPSIS Method
Gligorić Miloš, Gligorić Zoran (2015)Gligorić Miloš, Gligorić Zoran. "Model of Strategic Decision Making in Mining Industry Based on Fuzzy Dynamic TOPSIS Method" in Journal of Multidisciplinary Engineering Science and Technology 2 no. 3, Berlin : (2015): 470-475 M24
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Technological Model of Coal Deposit - base for Mine Production Planning
Gligorić Zoran, Gligorić Miloš, Štrbac-Savić Svetlana. "Technological Model of Coal Deposit - base for Mine Production Planning" in 2nd Virtual International Conference on Science, Niš:Research and Development Center ALFATEC (2016) M31
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Analysis of Household Coal Consumption in Serbia Based on Grey System Theory and K - means Clustering (Base for Network Optimization)
Gligorić Zoran, Gligorić Miloš, Štrbac-Savić Svetlana. "Analysis of Household Coal Consumption in Serbia Based on Grey System Theory and K - means Clustering (Base for Network Optimization)" in 1st Virtual International Conference on Science, Niš:Research and Development Center ALFATEC (2015): 45-48 M33
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A comparison between ARIMA, LSTM, ARIMA-LSTM and SSA for cross-border rail freight traffic forecasting: the case of Alpine-Western Balkan Rail Freight Corridor
Miloš Milenković, Miloš Gligorić, Nebojša Bojović, Zoran Gligorić. "A comparison between ARIMA, LSTM, ARIMA-LSTM and SSA for cross-border rail freight traffic forecasting: the case of Alpine-Western Balkan Rail Freight Corridor" in Transportation Planning and Technology, Informa UK Limited (2023). https://doi.org/10.1080/03081060.2023.2245389 М23
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Избор методе подземног откопавања на примеру лежишта бакра
Mилош Глигорић (2024)Тема овог завршног рада је избор методе откопавања у подземном руднику бакра. Рад је подељен на четири поглавља. У првом поглављу дат је приказ општих података и геолошких карактеристика ширег подручја и лежишта. Детаљан опис отварања и припреме лежишта за откопавање представљен је у другом поглављу. У трећем поглављу дат је опис све три варијанте изабране методе за запуњавањем откопаног простора, са освртом на количину захваћене руде, трошковима експлоатације као и динамиком откопавања. Четврто поглавље представља нумерички пример где ...Mилош Глигорић . Избор методе подземног откопавања на примеру лежишта бакра, 2024
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An Underground Mine Ore Pass System Optimization via Fuzzy 0–1 Linear Programming with Novel Torricelli–Simpson Ranking Function
rudna sipka, optimizacija, fazi linearno programiranje, trouglasti graf, Toričelijeva tačka, funkcija rangiranjaDževdet Halilović, Miloš Gligorić, Zoran Gligorić, Dragan Pamučar. "An Underground Mine Ore Pass System Optimization via Fuzzy 0–1 Linear Programming with Novel Torricelli–Simpson Ranking Function" in Mathematics (2023). https://doi.org/10.3390/math11132914 М21а
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Selection demolition sylo technology
Gligorić Miloš, Milojević Jelena (2015)Gligorić Miloš, Milojević Jelena. "Selection demolition sylo technology" in Underground Mining Engineering no. 26, Belgrade:University of Belgrade - Faculty of Mining and Geology (2015): 33-42. https://doi.org/https://doi.org/10.5937/podrad M52
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Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry
Zoran Gligorić, Miloš Gligorić, Dževdet Halilović, Čedomir Beljić, Katarina Urošević. "Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry" in Sustainability (2020). https://doi.org/10.3390/su12166533 М22
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Novel Hybrid MPSI–MARA Decision-Making Model for Support System Selection in an Underground Mine
objektivne težine kriterijuma, MPSI metoda, višekriterijumsko odlučivanje, MARA metoda, izbor sistema podgrade, podzemna eksploatacijaMiloš Gligorić, Zoran Gligorić, Suzana Lutovac, Milanka Negovanović, Zlatko Langović. "Novel Hybrid MPSI–MARA Decision-Making Model for Support System Selection in an Underground Mine" in Systems, MDPI AG (2022). https://doi.org/10.3390/systems10060248 М21
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Zaštita od miniranja
Suzana Lutovac, Miloš Gligorić (2024)Suzana Lutovac, Miloš Gligorić. Zaštita od miniranja, Beograd : Univerzitet u Beogradu - Rudarsko-geološki fakultet, 2024
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Multi - Attribute Technological Modeling of Coal Deposits Based on the Fuzzy TOPSIS and C - mean Clustering Algorithms
Gligorić Miloš, Gligorić Zoran, Beljić Čedomir, Torbica Slavko, Štrbac-Savić Svetlana, Nedeljković Jasmina (2016)Gligorić Miloš, Gligorić Zoran, Beljić Čedomir, Torbica Slavko, Štrbac-Savić Svetlana, Nedeljković Jasmina. "Multi - Attribute Technological Modeling of Coal Deposits Based on the Fuzzy TOPSIS and C - mean Clustering Algorithms" in Energies 9 no. 12, Basel:MDPI AG, Basel, Switzerland (2016). https://doi.org/10.3390/en9121059 M22
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Ispitivanje anizotropije stenskih masa merenjem brzine prostiranjja ultrazvučnih talasa
Gligorić Miloš, Majstorović Jelena, Lutovac Suzana. "Ispitivanje anizotropije stenskih masa merenjem brzine prostiranjja ultrazvučnih talasa" in Zbornik radova sa V naučno - stručnog skupa „Podzemna eksploatacija mineralnih sirovina 2017, Beograd, 08.12.2017, Beograd:Univerzitet u Beogradu – Rudarsko – geološki fakultet (2017): 63-70 M63
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Rock Mass Quality Rating Based on the Multi-Criteria Grey Metric Space
Miloš Gligorić, Zoran Gligorić, Saša Jovanović, Suzana Lutovac, Dragan Pamučar, Ivan Janković (2024)klasifikacija stenske mase, višekriterijumska klasifikacija, klasa, metrički prostor, intervalni sivi brojeviMiloš Gligorić, Zoran Gligorić, Saša Jovanović, Suzana Lutovac, Dragan Pamučar, Ivan Janković. "Rock Mass Quality Rating Based on the Multi-Criteria Grey Metric Space" in Computer Modeling in Engineering & Sciences, Tech Science Press (2024). https://doi.org/10.32604/cmes.2024.050898 М22
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Analiza delovanja vazdušnih udara nastalih kao posledica miniranja na krečnjaku
Suzana Lutovac, Miloš Gligorić, Jelena Majstorović. "Analiza delovanja vazdušnih udara nastalih kao posledica miniranja na krečnjaku" in XVI međunarodna rudarska konferencija OMC 2024, Jugoslovenski komitet za površinsku eksploataciju (2024) М33
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Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry
Multiple criteria decision making (MCDM) is a supporting tool which is widely spread in different areas of science and industry. Many researchers have confirmed that MCDM methods can be useful for selecting the best solution in many different problems. In this paper, two novel methods are presented and applied on existing decision-making processes in the mining industry. The first method is multiple criteria ranking by alternative trace (MCRAT) and the second is ranking alternatives by perimeter similarity (RAPS). These ...Katarina Urošević, Zoran Gligorić, Igor MIljanović, Čedomir Beljić, Miloš Gligorić. "Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry" in Mathematics, MDPI (Basel, Switzerland) (2021). https://doi.org/10.3390/math9161980 М21а
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Multi-Criteria Fuzzy-Stochastic Diffusion Model of Groundwater Control System Selection
When considering data and parameters in hydrogeology, there are often questions of uncertainty, vagueness, and imprecision in terms of the quantity of spatial distribution. To overcome such problems, certain data may be subjectively expressed in the form of expert judgment, whereby a heuristic approach and the use of fuzzy logic are required. In this way, decision-making criteria relating to an optimal groundwater control system do not always have a numerical value. Groundwater control scenarios (alternatives) are identified through hydrodynamic ...expert judgment, linguistic variables, fuzzy dynamic TOPSIS, hydrogeology, groundwater control system, open-cast mine, geometric Brownian motionDušan Polomčić, Zoran Gligorić, Dragoljub Bajić, Miloš Gligorić, Milanka Negovanović. "Multi-Criteria Fuzzy-Stochastic Diffusion Model of Groundwater Control System Selection" in Symmetry, MDPI AG (2019). https://doi.org/10.3390/sym11050705 М22
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Steel Arch Support Deformations Forecast Model Based on Grey–Stochastic Simulation and Autoregressive Process
Relatively large deformations of the steel arch support in underground coal mines in the Republic of Serbia present one of the main problems for achieving the planned production of coal. Monitoring of the critical sections of the steel arch support in the underground roadways is necessary to gather quality data for the development of a forecasting model. With a new generation of 3D laser scanners that can be used in potentially explosive environments (ATEX), deformation monitoring is facilitated, while ...čelična podgrada, prognoza deformacija, vremenske serije, grey-stohastička simulacija, autoregresija, podzemni rudnik ugljaLuka Crnogorac, Suzana Lutovac, Rade Tokalić, Miloš Gligorić, Zoran Gligorić. "Steel Arch Support Deformations Forecast Model Based on Grey–Stochastic Simulation and Autoregressive Process" in Applied Sciences, MDPI AG (2023). https://doi.org/10.3390/app13074559 М22
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Investigation of quantitative indicators of anisotropy based on longitudinal elastic waves propagation velocities with uncertainty
Miloš Gligorić, Jelena Majstorović, Suzana Lutovac. "Investigation of quantitative indicators of anisotropy based on longitudinal elastic waves propagation velocities with uncertainty" in Underground Mining Engineering, Belgrade : University of Belgrade - Faculty of Mining and Geology (2018). https://doi.org/10.5937/PodRad1832001G M51
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Praktikum iz Tehnologije materijala
Suzana Lutovac, Miloš Gligorić, Luka Crnogorac. Praktikum iz Tehnologije materijala, Beograd : Univerzitet u Beogradu, Rudarsko-geološki fakultet, 2023 Без категорије
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Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework
Zoran Gligorić, Ömer Faruk Görçün, Miloš Gligorić, Dragan Pamucar, Vladimir Simić, Hande Küçükönder (2024)duboko učenje, industrije velikih razmera, MAXC (maksimum kriterijuma), TODIFFA (totalni diferencijal alternative), izbor softvera za dubinsko učenjeZoran Gligorić, Ömer Faruk Görçün, Miloš Gligorić, Dragan Pamucar, Vladimir Simić, Hande Küçükönder. "Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework" in Journal of King Saud University - Computer and Information Sciences, Springer Science and Business Media LLC (2024). https://doi.org/10.1016/j.jksuci.2024.102079 М21