Претрага
195 items
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Fuzzy stohastički model izbora sistema otvaranja podzemnog rudnika
Saša M. Jovanović (2016-05-16)Investiciono okruženje skopčano sa rudarskom industrijom je veoma svojstveno kada seuporedi sa okruženjima koje susrećemo u tipičnim proizvodnim industrijama. Neke odkarakterisitka rudarstva, koje su često naznačene kao jedinstvene su: visok intenzitetinvesticija, dugi predproizvodni periodi, visok rizik i neobnovljivost resursa.Investiranje u sistem otvaranja rudnika predstavlja dobar primer ireverzibilneinvesticije. Takva investicija zahteva pažljivu analizu, jer nakon njene realizacije ona sene može nadoknaditi bez značajnog gubitka vrednosti. Očigledno je da izbor sistemaotvaranja podzemnog rudnika pripada strateškom planiranju...... [21] Hoffman, P., 1998, The Man Who Loved Only Numbers: The Story of Paul Erdos and the Search for Mathematical Truth. New York: Hyperion, pp. 238- 239. [22] J. Do, H. Song, S. So. and Y. Soh., Comparision of Deterministic Calaculation and Fuzzy Arithmetic for Two Prediction Model Equations of ...
... algoritam zasnovan na fuzzy dinamičkom rekurzivnom programiranju [24]. Lin i Chen (1994) pronalaze fuzzy najkraći put u mreži primenom fuzzy linearnog programiranja [27]. Okada (2004) definiše novi index komparacije između suma fuzzy brojeva razmatrajući međusobnu aktivnost fuzzy brojeva i definiše ...
... diskusijom, fuzzy skup „ukupni trošak 44 proizvodnje rude je otprilike 20 $/t“ možemo da tretiramo kao broj. Broj izražen na ovakav način naziva se fuzzy broj odnosno rasplinuti broj. U literaturi se pored izraza fuzzy broj često sreće i izraz neizvestan broj. Pod pojmom fuzzy broj M ~ ...Saša M. Jovanović. "Fuzzy stohastički model izbora sistema otvaranja podzemnog rudnika" in Универзитет у Београду, Универзитет у Београду, Рударско-геолошки факултет (2016-05-16)
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Primena fuzzy optimizacije u hidrodinamičkoj analizi
znanje eksperta, optimizacija, trougaoni fuzzy brojevi, upravljanje podzemnim vodama, fuzzy logika, hidrodinamički modelDragoljub Bajić, Dušan Polomčić, Jelena Ratković, Predrag Pajić. "Primena fuzzy optimizacije u hidrodinamičkoj analizi" in XVII Kongres geologa Srbije (Zbornik radova XVII srpskog geološkog kongresa), Vrnjačka Banja, 17-20.05.2018., Srpsko geološko društvo (2018)
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Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM
Stevan Djenadic, Milos Tanasijevic, Predrag Jovancic, Dragan Ignjatovic, Dejan Petrovic, Ugljesa Bugaric (2022)The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the ...Stevan Djenadic, Milos Tanasijevic, Predrag Jovancic, Dragan Ignjatovic, Dejan Petrovic, Ugljesa Bugaric. "Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM" in Mathematics, MDPI AG (2022). https://doi.org/10.3390/math10050811
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Razvoj algoritma fuzzy optimizacije u hidrodinamičkoj analizi za potrebe projektovanja sistema odbrane od podzemnih voda
Dragoljub Bajić, Dušan Polomčić (2019)Sistemi za odbranu od podzemnih voda se koriste za zaštitu hidrotehničkih objekata, priobalja, meliorativnih područja, naselja, rudnika, industrijskih područja, predstavljajući značajne segmente bez kojih bi funkcionalnost ovih objekata i područja bila dovedena u pitanje. Posebno složeni sistemi odbrane od podzemnih voda se karakterišu kod ležišta mineralnih sirovina, imajući u vidu njihovu dinamičnost, koja se ogleda u stalnom širenju ležišta, kao i činjenicu da ova ležišta prodiru duboko u stensku masu različitog strukturnog tipa poroznosti, a time i u podzemne ...upravljanje podzemnim vodama, hidrodinamički model, fuzzy logika, trougaoni fuzzy brojevi, znanje eksperta, optimizacijaDragoljub Bajić, Dušan Polomčić. "Razvoj algoritma fuzzy optimizacije u hidrodinamičkoj analizi za potrebe projektovanja sistema odbrane od podzemnih voda" in Tehnika, Centre for Evaluation in Education and Science (CEON/CEES) (2019). https://doi.org/10.5937/tehnika1904527B
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Razvoj modela upravljanja cirkulacijom u postupku bušenja korišćenjem neuro fazi sistema zaključivanja
Seyed Ali S. Razeghi (2022)Gubitak isplake predstavlja nekontrolisano isticanje bušaćeg fluida kroz formacije kao što su kaverne, pukotine, ili drugi slojevi. Tradicionalne metode procene gubitka isplake se zasnivaju na primeni seizmičkih podataka ili pronalasku „mesta“ gubitka isplake na osnovu raspoloživih podataka iz susednih bušotina. Međutim, ove metode procene nisu pouzdane.‘ U disertaciji je izvršena analiza i procena uticaja parametara bušenja, geoloških faktora, karakteristika formacije i fluida na gubitak isplake kao i na formiranje fraktura u formacijama. Uspostavljeni su modeli koji podrazumevaju proces obrade ...Seyed Ali S. Razeghi. Razvoj modela upravljanja cirkulacijom u postupku bušenja korišćenjem neuro fazi sistema zaključivanja, Beograd : [S. Razeghi], 2022
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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
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Fuzzy stohastički model izbora sistema otvaranja podzemnog rudnika
Saša M. Jovanović (2016)otkopavanje, otvaranje, mreže i grafovi, fuzzy skupovi, stohastički procesi, indeks konveksnosti, sistemi podrške odlučivannjuSaša M. Jovanović. Fuzzy stohastički model izbora sistema otvaranja podzemnog rudnika, Beograd:Rudarsko Geološki Fakultet, 2016
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Računarski integrisani sistemi za podršku odlučivanju i upravljanju u PMS, zasnovani na fuzzy logici
Igor Miljanović (2007)Igor Miljanović. Računarski integrisani sistemi za podršku odlučivanju i upravljanju u PMS, zasnovani na fuzzy logici, Beograd:Rudarsko Geološki Fakultet, 2007
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Multiple-Criteria Decision-Making in Mine Development Planning
Sanja Bajić (2023)The Borska Reka ore deposit is an experimental location where developed methodologies have been applied. It is the largest ore body within the Bor mining complex, which has been the subject of numerous studies and analyses for more than three decades. The paper focuses on the application of FAHP and the VIKOR method to address ranking of alternatives and select the optimal mining method by means of fuzzy multicriteria optimization.Sanja Bajić. "Multiple-Criteria Decision-Making in Mine Development Planning" in Proceedings of the 5th International Underground Excavations Symposium, 5-6-7 June 2023, Istanbul, Topkapi : Dinç Ofset Mat. Rek. San. ve Tic. Ltd. Şti. (2023)
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Application of the Fuzzy theory in the evaluation of operating parameters of auxiliary mechanization on open-cast coal mine, case study: pipelayers
Achieved operating parameters are the main indicator of the work quality and selection of mining machines. The effectiveness of a coal mine is correlated with the availability of basic and auxiliary machines. The main task of auxiliary machines in lignite mines is to achieve optimal working conditions. From an economic point of view, auxiliary machines generate up to 20% of the lignite mines' total costs. These are the primary reasons for analyzing their current work and making decisions in ...Stevan Djenadić, Miloš Tanasijević, Filip Miletić, Predrag Jovančić. "Application of the Fuzzy theory in the evaluation of operating parameters of auxiliary mechanization on open-cast coal mine, case study: pipelayers" in 8th Balkan Mining Congress, Belgrade, September 28-30, Rudarski instutut (2022)
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Application of the VIKOR Method for Selecting the Purpose of Recultivated Terrain after the End of Coal Mining
Radmila Gaćina, Sanja Bajić, Bojan Dimitrijević, Tomislav Šubaranović, Čedomir Beljić, Dragoljub Bajić (2024)Radmila Gaćina, Sanja Bajić, Bojan Dimitrijević, Tomislav Šubaranović, Čedomir Beljić, Dragoljub Bajić. "Application of the VIKOR Method for Selecting the Purpose of Recultivated Terrain after the End of Coal Mining" in Proceedings of the Bulgarian Academy of Sciences, Bulgaria, 28. maj 2024 , Prof. Marin Drinov Publishing House of BAS (Bulgarian Academy of Sciences) (2024). https://doi.org/10.7546/CRABS.2024.07.10
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Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study – Bucket Wheel Excavator
Predrag Jovančić, Miloš Tanasijević, Vladimir Milisavljević, Aleksandar Cvjetić, Dejan Ivezić, Uglješa Bugarić (2020)Predrag Jovančić, Miloš Tanasijević, Vladimir Milisavljević, Aleksandar Cvjetić, Dejan Ivezić, Uglješa Bugarić. "Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study – Bucket Wheel Excavator" in Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 , Pennsylvania : IGI Global (2020). https://doi.org/10.4018/978-1-7998-3904-0
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Fuzzy Model for Dependability Determination
Ivezić Dejan, Tanasijević Miloš (2010)Ivezić Dejan, Tanasijević Miloš. "Fuzzy Model for Dependability Determination" in International Carpathian Control Conference - ICCC′2010, Eger, Hungary:University of Miskolc (2010): 121-124
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Fuzzy model of autogenous suspension coal cleaning
Benović Tomo, Miljanović Igor, Vujić Slobodan. "Fuzzy model of autogenous suspension coal cleaning" in Archives of Mining Sciences 57 no. 4, -:Polish Academy of Sciences - Committee of Mining (2012): 821-838. https://doi.org/10.2478/v10267-012-0055-9
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Fuzzy access to dependability assesment
Tanasijević Miloš, Ivezić Dejan, Jovančić Predrag. "Fuzzy access to dependability assesment" in XXI International Congress on Maintenance and Asset Management – EUROMAINTENANCE 1, Beograd :Serbian Maintenance Society (2012): 844-850
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The purpose of fuzzy logic in hydrogeological practice
Bajić Dragoljub, Polomčić Dušan, Jemcov Igor. "The purpose of fuzzy logic in hydrogeological practice" in Proceedings of the XVI Serbian Geological Congress, Donji Milanovac, Serbia, 22-25 May 2014, Belgrade:Serbian Geological Society (2013): 424-429
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The application of fuzzy optimization in hydrodynamic analysis
Bajić Dragoljub, Polomčić Dušan, Ratković Jelena, Pajić Predrag. "The application of fuzzy optimization in hydrodynamic analysis" in Proceedings of the XVII Serbian Geological Congress, Belgrade:Serbian Geological Society (2018): 429-432
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Solving dewatering problems using fuzzy MCDM methods for engineering-geological surveys
Dragoljub Bajić (2022)Dragoljub Bajić. "Solving dewatering problems using fuzzy MCDM methods for engineering-geological surveys" in Proceedings of the XVIII Serbian Geological Congress, Divčibare, Serbia, 01-04 June 2022, Serbian Geological Society (2022)
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A fuzzy-based decision support model for evaluation of mining machinery
Tanasijević Miloš (2016)Tanasijević Miloš. "A fuzzy-based decision support model for evaluation of mining machinery" in Proceeding of International Conference ‘’48th International October Conference on Mining and Metallurgy’’, Bor:University of Belgrade, Technical Faculty in Bor and Mining and Metallurgy Institute Bor (2016): 15-18
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Effectiveness assessment of agricultural machinery based on fuzzy sets theory
Miodragović Rajko, Tanasijević Miloš, Mileusnić Zoran, Jovančić Predrag. "Effectiveness assessment of agricultural machinery based on fuzzy sets theory" in Expert Systems with Applications 39 no. 10, Oxford, UK:Pergamon (2012): 8940-8946. https://doi.org/DOI: 10.1016/j.eswa.2012.02.01