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Упит dcterms_subject_txt:Fuzzy logic

82 items

  • Fuzzy expert analysis of the severity of mining machinery failure

    Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković (2020)
    Mining machinery failure is almost an everyday occurrence. Usually the failures bare certain consequences, which require additional financial costs to repair and restore the system to its operational state. The consequences are viewed through negative and damaging effects a failure has on the machine, health and safety of the employees, work environment, and on the environment. The removal of the consequences of the failure requires additional financial investment, which has a negative impact on the company’s business. In order ...
    Severity of failure, Severity of failure assessment, Mining machinery, Fuzzy sets, Fuzzy logic

  • 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 ...
    naftna bušotina, gubitak isplake, fuzzy logika, ANFIS model

  • Different aspects of soft computing methods application for blasting in mining

    Katarina Urošević, Jelena Zakonović, Radmila Gaćina (2019)
    Mining is a global industry that is of great importance for every product which is used by human. For mining, process efficiency, reducing production downtime, increasing profitability are all very important. Soft computing tehnologies (SC) are helping in the process of transforming the mining industry into a safer and more environmental friendly industry, but keeping in mind the financial aspect as well. In this paper some of fields of blasting activities in which the SC methods have been applicated, ...
    soft computing, blasting, fuzzy logic, neural networks

  • Development of integrated fuzzy model for mine management optimization

    Miodrag Čelebić, Sanja Bajić, Dragoljub Bajić, Dejan Stevanović, Duško Torbica, Vladimir Malbašić (2023)
    fuzzy logika, višekriterijumsko odlučivanje, ocenjivanje eksperata
    ... requires "muhltidi- mensional" opinions, where experts are required to use logic, knowledge, intuition and experience, the proposed methodology addresses all these issues and fuzzy ogic is its integral part [1'2]. When fuzzy logic is used for multicriteria decision making., the criteria are described ...
    ... applications of fuzzy AHP, Eur. J. Oper. Res., 116, 450 456. TOLGA FE., M. DEMIRCAN, C. KAHRAMAN (2005) Operating, system selection using fuzzy replacement analysis and analytic hierarchy process, Int. J. Prod. Econ., 97, 89-117. | CHEN H. (2006) Applications of Fuzzy Logic in Data Mining Process ...
    ... such circumstances, engineer experience is especially im- portant. Several interesting studies addressing, the fuzzy logic concept in mining; are reported in | Š}, 'The integrated fuzzy model for mining: technology optimization was applied o a real case study, bauxite deposit L-29C of the Bešpelj ...

  • Fuzzy optimization in hydrodynamic analysis of groundwater control systems: Case study of the pumping station “Bezdan 1”, Serbia

    Dragoljub Bajić, Dušan Polomčić (2014)
    A groundwater control system was designed to lower the water table and allow the pumping sta-tion “Bezdan 1” to be built. Based on a hydrodynamic analysis that suggested three alternative solutions, mul-ticriteria optimization was applied to select the best alternative. The fuzzy analytic hierarchy process methodwas used, based on triangular fuzzy numbers. An assessment of the various factors that influenced the selec-tion of the best alternative, as well as fuzzy optimization calculations, yielded the “weights” of the alternativesand the ...
    groundwater lowering, groundwater management scenario, fuzzy analytic hierarchy process,expert knowledge, triangular fuzzy numbers, linguistic variables
    ... SINGH et al. 2007; UDDAMERI et al. 2014; KARNIB 2014 ). One branch of fuzzy logic applied in hydrogeology is fuzzy optimization. The present paper describes an application of multicriteria fuzzy optimization - the so-called fuzzy analytic hierarchy process (FAHP), to select the optimal groundwater management ...
    ... various uncertainty and imprecision (KOSKO 1993). This is the reason why fuzzy logic systems are distinguished, given that their essence is to handle knowledge that can be highly imprecise and expressed verbally. In fuzzy logic systems this “knowledge” is represented by production (expert) rules, which ...
    ... individual. Consequently, fuzzy logic is the codi- fication of common sense (GRAHAM 1991; LAI & HWANG 1996). Expert knowledge is used instead of differential equations to describe a system. The know- ledge is conveyed in a natural way, by linguistic vari- ables, such that fuzzy logic is “computing with words” ...

  • 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 ...
    rizik, inženjerski sistemi, fazi logika, višekriterijumske metode

  • Fuzzy Model for Risk Assessment of Machinery Failures

    Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković (2020)
    The main goal of this research was the development of an algorithm for the implementation of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the ...
    fazi teorija, rizik, otkaz rudarskih mašina
    ... industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the fuzzy sets with ...
    ... industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the fuzzy sets with ...
    ... is defined by the membership function) [5]. The use of fuzzy sets and fuzzy logic could be explained as an expert or qualitative skill, or simply as a calculation performed with words [6]. The application of fuzzy set theory and fuzzy logic to system failures in engineering has been analyzed by Cai ...

  • Application of the Fuzzy Model in the Evaluation and Selection of Hydraulic Excavators on Open-Pit Lignite Mine

    Stevan Đenadić, Miloš Tanasijević, Vladimir Milisavljević, Dragan Ignjatović, Predrag Jovančić (2021)
    The production of lignite in large open-pit mines is mainly performed with continuously operating equipment, where bucket-wheel excavators, bucket-chain excavators, belt conveyors, and spreaders are the basic machines. Smaller machines, usually of discontinuous operating nature, are commonly categorized as auxiliary machines. This paper presents the research related to the analysis of auxiliary machine parameters with the case study for a hydraulic excavator. The purpose of the analysis was to develop a model of rating quality of service of the ...
    Fuzzy theory, hydraulic excavator, selection, quality of service, asset management

  • Determining the Availability of Continuous Systems at Open Pits Applying Fuzzy Logic

    Miljan Gomilanović, Miloš Tanasijević, Saša Stepanović (2022)
    This work presents a model for determining the availability of continuous systems at open pits by applying fuzzy logic and fuzzy inference systems. The applied model was formed by the synthesis of independent partial indicators of availability. The model is based on an expert system for assessing the availability of continuous mining systems. The availability of the system, as a complex state parameter, is decomposed into the partial indicators, reliability, and convenience of maintenance, and the fuzzy compositions, used ...
    системи, континуални систем експоатације, површински коп, рударство, расположивост, фази логика, max–min композиција, min–max композиција

  • A Model for Determining the Dependability of Continuous Subsystems in Coal Mines Using the Fuzzy Logic Approach

    Nikola Stanić, Miljan Gomilanović, Petar Marković, Daniel Krzanović, Aleksandar Doderović, Saša Stepanović (2024)
    This study presents a unique model for assessing the dependability of continuous parts of combined systems in open-pit mining through the application of fuzzy logic. Continuous sub-systems as part of the combined system of coal exploitation in surface mines have the basic function of ensuring safe operation, high capacity with high reliability, and low costs. These subsystems are usually part of the thermal power plant’s coal supply system and ensure stable fuel supply. The model integrates various independent partial ...
    fuzzy logic, max-min composition, continuous part of combined system (CCS), open pit, mining, dependability

  • A Model for Determining Fuzzy Evaluations of Partial Indicators of Availability for High-Capacity Continuous Systems at Coal Open Pits Using a Neuro-Fuzzy Inference System

    Miljan Gomilanović, Miloš Tanasijević, Saša Stepanović, Filip Miletić (2023)
    This paper presents a model for determining fuzzy evaluations of partial indicators of the availability of continuous systems at coal open pits using a neuro-fuzzy inference system. The system itself is a combination of fuzzy logic and artificial neural networks. The system availability is divided into partial indicators. By combining the fuzzy logic and artificial neural networks, a model is obtained that has the ability to learn and uses expert judgment for that learning. This paper deals with the ...
    системи, континуални системи експлоатације (роторни багер-транспортер-дробилично постројење), рударство, расположивост, меко рачунарство, фази логика, ANN, ANFIS

  • Multi-Criteria Fuzzy-Stochastic Diffusion Model of Groundwater Control System Selection

    Dušan Polomčić, Zoran Gligorić, Dragoljub Bajić, Miloš Gligorić, Milanka Negovanović (2019)
    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 motion

  • A fuzzy-based decision support model for effectiveness evaluation - a case study of examination of bulldozers

    Miloš Tanasijević, Predrag Jovančić, Dejan Ivezić, Uglješa Bugarić, Radiša Đurić (2019)
    Effectiveness evaluation is one of the basic components of engineering asset management and maintenance engineering in general. Effectiveness is an overall concept representing a measurement of quality of service level for the analyzed engineering system. This concept contains a series of partial indicators relating to time in operation and time for maintenance activities, as well as functional properties of the system. This article describes the analysis and structuring of partial indicators, as well as the development of a model ...
    Efikasnost, Fazi zaključivanje, Prikupljanje podataka, Buldozer

  • The purpose of fuzzy logic in hydrogeological practice

    Bajić Dragoljub, Polomčić Dušan, Jemcov Igor (2013)

  • Risk assessment model of mining equipment failure based on fuzzy logic

    D. Petrović, Tanasijević Miloš, V. Milić, Lilić Nikola, Stojadinović Saša, Igor Svrkota (2014)

  • Development of the Availability Concept by Using Fuzzy Theory with AHP Correction, a Case Study: Bulldozers in the Open-Pit Lignite Mine

    Stevan Đenadić, Dragan Ignjatović, Miloš Tanasijević, Uglješa Bugarić, Ivan Janković, Tomislav Šubaranović (2019)
    Availability is one of the most used terms in maintainability engineering. This concept is used to denote: The quality of service of an engineering system, i.e., machines, weak points’ analysis, asset management, as well as making decisions in the process of life cycle management. Availability is an overall indicator and contains partial indicators that are oriented towards reliability, maintenance, and logistical support. Availability presents a variable value and changes in time and space. Usually, availability is shown as the ...
    raspoloživost, fazi teorija, AHP višekriterijumska analiza, eksperska ocena, buldozer
    ... based on the theory of fuzzy sets, has been developed. Theories of fuzzy logic are specifically used for description and proposition of indicators, i.e., their composition in which prevail uncertainty, indefinitely, multiplicity, subjectivity and mutual over-lapping. Fuzzy logic is used as a mathematical ...
    ... systems with hybrid data. Unlike the classic crisp logic, fuzzy values are defined with membership function to proper linguistic variables [3]. The max–min composition was used, where the outcomes were defined as the mean value. In reference [14], the fuzzy theory was also used for the synthesis of available ...
    ... , and mutual overlap prevail. In scientific literature, fuzzy logic is usually applied to solve such conceptual problems [17]. In this paper, an alternative model for determining availability will be displayed, using expert judgment, fuzzy inference, and the analytic hierarchy process (AHP) ranking ...

  • The Fuzzy–AHP Synthesis Model for Energy Security Assessment of the Serbian Natural Gas Sector

    Aleksandar R. Madžarević, Dejan D. Ivezić, Miloš L. Tanasijević, Marija A. Živković (2020)
    Natural gas is used for the production of almost 20% of total energy today. The natural gas security of the Republic of Serbia is an urgent strategic, political and security issue. Serbia is one of the most vulnerable countries in Southeast Europe, because it only has one supply route. This study is a contribution to efforts to better understand the factors affecting energy security through the implementation of a new methodology based on the fuzzy–AHP synthesis model for measuring ...
    energetska bezbednost, prirodni gas, fazi AHP, AHP višekriterijumska analiza, fazi teorija
    ... ranking problem: A fuzzy set approach. Fuzzy Sets Syst. 1984, 13, 25–37. [CrossRef] 49. Bortolan, G.; Degani, R. A review of some methods for ranking fuzzy subsets. Fuzzy Sets Syst. 1985, 15, 1–19. [CrossRef] 50. Zadeh, L.A. Fuzzy Logic = Computing with words. IEEE Trans. Fuzzy Syst. 1996, 4, 103–111 ...
    ... notion of completely false (0–1) [43]. Fuzzy logic, as well as the accompanying theory of fuzzy sets, is tolerant of imprecise data and flexible in the field of application, thus representing an intuitive feature of human reasoning [44]. In addition, the fuzzy set theory reduces the influence of analysts ...
    ... superiority over the usual max–min composition. Fuzzy Sets Syst. 2008, 93, 319–329. [CrossRef] 52. Petrovic, D.; Tanasijevic, M.; Milic, V.; Lilic, N.; Stojadinovic, S.; Svrkota, I. Risk assessment model of mining equipment failure based on fuzzy logic. Expert Syst. Appl. 2014, 41, 8157–8164. [CrossRef] ...

  • Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic

    Miroslav Crnogorac, Miloš Tanasijević, Dušan Danilović, Vesna Karović Maričić, Branko Leković (2020)
    Artificial lift methods have applications in oil wells where oil production is no longer possible due to natural reservoir energy, so this necessary energy is added by introducing lift methods. In order to achieve optimum production, the selection of an artificial lift method is very important. This paper uses fuzzy logic as a mathematical and conceptual model for selection of the optimal artificial lift method. The outcome or IF-THEN rules, as the central part of the model, is based ...
    mehaničke metode, proizvodnja nafte, fazi logika, donošenje odluka, optimizacija
    ... Based on Fuzzy Logic Miroslav Crnogorac, Miloš Tanasijević, Dušan Danilović, Vesna Karović Maričić, Branko Leković Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic | Miroslav ...
    ... account during model development in order to achieve an optimal selection of artificial lift methods by fuzzy logic application. Optimization criteria are well utilization and service ability. Fuzzy logic has a great application, used in many engineering disciplines as a decision-making tool. In the field ...
    ... Estimation through Image Analysis and Fuzzy Logic Techniques. Energy Sources Part A Recovery Util. Environ. Eff. 2014, 36, 1276–1284. [CrossRef] 3. Jafarinezhad, S.; Shahbazian, M. Modeling the Porosity of the Carbonate Reservoir Using a Genetic Type-2 Fuzzy Logic System. Energy Sources Part A Recovery ...

  • A Fuzzy Expert Model for Availability Evaluation

    Dejan Ivezić, Miloš Tanasijević, Predrag Jovančić, Radiša Đurić (2019)
    Each technical system within itself carries the great potential danger of possible occurrence of failure and damages. Mining machines are characteristic by great investment values, costs of unplanned shutdowns, complex working conditions, and environment and workers hazards. Systematic monitoring of the mining machinery is of great importance for the management of the mining companies. Availability is the overall concept of quality of service. Includes information regard to operating state, an idle state, a standby state and shut down. The ...
    raspoloživost, ekspertski sistem, fazi teorija, buldozeri
    ... sets and fuzzy logic: theory and applications, Prentice-Hall, Inc. Upper Saddle River, NJ, USA [7] Kabir S., Papadopoulos Y., A review of applications of fuzzy sets to safety and reliability engineering, International Journal of Approximate Reasoning, Vol. 100, Pages 29-55, 2018. [8] Wang, J., Yang ...
    ... Supportability Expert Judgments Data classification Fuzzification Fuzzy inference engine Identification Input data set Input fuzzy set Output fuzzy set Linguistic value Fuzzy set proposition Situation analysis Fuzzy composition Probab.theory, Stat.processing Best-fit method Linguistic ...
    ... experts’ opinions. Fig. 1. The fuzzy model for availability evaluation The mathematical and conceptual model of availability assessment is practically summarized in two steps: fuzzy proposition of availability partial indicators - R, M and S and fuzzy composition of mentioned indicators ...

  • A System for Named Entity Recognition Based on Local Grammars

    Krstev Cvetana, Obradović Ivan, Utvić Miloš, Vitas Duško (2014)