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Wyświetlanie 1-15 z 62
Tytuł:
Bireference Procedure fBIP for Interactive Multicriteria Optimization with Fuzzy Coefficients
Autorzy:
Wojewnik, Piotr
Szapiro, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/483325.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support
multicriteria decision making
interactive optimization
fuzzy optimization
Opis:
In the paper an approach to decision making in situations with non-pointlike characterisation and subjective evaluation of the actions is considered. The decision situation is represented mathematically as fuzzy multiobjective linear programming (fMOLP) model, where we apply the reduced fuzzy matrices instead of fuzzy classical numbers. The fMOLP model with reduced parameters is decomposable into the set of point-like models and the point-like models enable effective construction of an optimisation procedure - fBIP, see Wojewnik (2006ab), extending the bireference procedure by Michalowski and Szapiro (1992). The approach is applied to a fuzzy optimization problem in the area of telecommunication services.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2010, 2, 3; 169-193
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of membership function’s shape on portfolio optimization results
Autorzy:
Rutkowska, A.
Powiązania:
https://bibliotekanauki.pl/articles/91535.pdf
Data publikacji:
2016
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
fuzzy variable
membership function
fuzzy portfolio optimization
Opis:
Portfolio optimization, one of the most rapidly growing field of modern finance, is selection process, by which investor chooses the proportion of different securities and other assets to held. This paper studies the influence of membership function’s shape on the result of fuzzy portfolio optimization and focused on portfolio selection problem based on credibility measure. Four different shapes of the membership function are examined in the context of the most popular optimization problems: mean-variance, mean-semivariance, entropy minimization, value-at-risk minimization. The analysis takes into account both: the study of necessary and sufficient conditions for the existence of extremes, as well as the statistical inference about the differences based on simulation.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 1; 45-54
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System reliability optimization: A fuzzy multi-objective genetic algorithm approach
Optymalizacja niezawodności systemu: metoda rozmytego algorytmu genetycznego do optymalizacji wielokryterialnej
Autorzy:
Mutingi, M.
Powiązania:
https://bibliotekanauki.pl/articles/300808.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
system reliability optimization
multi-objective optimization
genetic algorithm
fuzzy optimization
redundancy
optymalizacja niezawodności systemu
optymalizacja wielokryterialna
algorytm genetyczny
optymalizacja rozmyta
nadmiarowość
Opis:
System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program. A fuzzy multi-objective genetic algorithm approach (FMGA) is proposed for solving the multi-objective decision problem in order to handle the fuzzy goals and constraints. The approach is able flexible and adaptable, allowing for intermediate solutions, leading to high quality solutions. Thus, the approach incorporates the preferences of the decision maker concerning the cost and reliability goals through the use of fuzzy numbers. The utility of the approach is demonstrated on benchmark problems in the literature. Computational results show that the FMGA approach is promising.
Często spotykanym problemem w optymalizacji niezawodności systemu są niedokładnie określone i sprzeczne cele, takie jak zmniejszenie kosztów systemu przy jednoczesnej poprawie jego niezawodności. Proces podejmowania decyzji staje się wtedy rozmyty i wielokryterialny. W niniejszej pracy, sformułowaliśmy ten problem jako rozmyty wielokryterialny program nieliniowy (FMOOP). Zaproponowaliśmy metodę rozmytego wielokryterialnego algorytmu genetycznego (FMGA), która pozwala rozwiązać wielokryterialny problem decyzyjny z uwzględnieniem rozmytych celów i ograniczeń. Podejście to jest uniwersalne, co pozwala na rozwiązania pośrednie, prowadzące do rozwiązań wysokiej jakości. Metoda uwzględnia preferencje decydenta w zakresie celów związanych z kosztami i niezawodnością poprzez wykorzystanie liczb rozmytych. Użyteczność FMGA wykazano na przykładzie wzorcowych problemów z literatury. Wyniki obliczeń wskazują, że podejście FMGA jest obiecujące.
Źródło:
Eksploatacja i Niezawodność; 2014, 16, 3; 400-406
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jacking and energy consumption control over network for jack-up rig: simulation and experiment
Autorzy:
Do, Viet-Dung
Dang, Xuan-Kien
Tran, Tien-Dat
Pham, Thi Duyen-Anh
Powiązania:
https://bibliotekanauki.pl/articles/32912855.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
networked control system
environmental forces
energy consumption
Fuzzy Particle Swarm Optimization
jacking system
time-delay
Opis:
Oil and gas projects differ from regular investment projects in that they are frequently large-scale, categorised as vital national projects, highly technological, and associated with significant risks. Drilling rigs are a crucial component of the oil and gas sector and the majority of the systems and equipment aboard drilling rigs are operated automatically. Consequently, it is crucial to address the topic of an advanced control theory for off-shore systems. Network technology connected to control is progressively being used to replace outdated technologies, together with other contemporary technologies. In this study, we examine how to adapt a networked control jacking system to the effects of internal and external disturbances with a time delay, using a Fuzzy controller (FC)-based particle swarm optimisation. To demonstrate the benefit of the proposed approach, the developed Fuzzy Particle Swarm Optimisation (FPSO) controller is compared with the fuzzy controller. Finally, the results from simulations and experiments utilising Matlab software and embedded systems demonstrate the suitability of the proposed approach.
Źródło:
Polish Maritime Research; 2022, 3; 89-98
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Problemy optymalizacji struktur regulatora rozmytego w sterowaniu dwurotorowym systemem aerodynamicznym
Optimization problems of the structures of fuzzy logic controller in control Two Rotor Aerodynamical System
Autorzy:
Woźnica, P.
Powiązania:
https://bibliotekanauki.pl/articles/274805.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
optymalizacja struktur regulatora rozmytego
system aerodynamiczny
TRAS
optimization structures of fuzzy controller
aerodynamical systems TRAS
Opis:
W artykule przedstawiono propozycje metody optymalizacji struktur regulatora rozmytego w sterowaniu nieliniowym wielowymiarowym obiektem mechatronicznym. W procesie optymalizacji wykorzystano algorytmy genetyczne. Przeprowadzono badania symulacyjne układu regulacji z proponowanym algorytmem w środowisku MATLAB/Simulink. Analiza uzyskanych rezultatów potwierdza efektywność zastosowania zmodyfikowanego regulatora rozmytego do sterowania wybranym modelem nieliniowym.
The paper presents a proposition of methods optimization structures of fuzzy logic controller in control nonlinear multivariable mechatronic plant. The control system simulation with proposed algorithm in MATLAB/Simulink environment was made. Analysis of obtained results confirms efficiency use of modified fuzzy logiccontroller for control selected nonlinear plant.
Źródło:
Pomiary Automatyka Robotyka; 2012, 16, 10; 58-61
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of a reactive fuzzy logic controller for a mobile robot using evolutionary algorithms
Autorzy:
Meléndez, A.
Castillo, O.
Alanis, A.
Powiązania:
https://bibliotekanauki.pl/articles/385141.pdf
Data publikacji:
2010
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
fuzzy control
genetic optimization
genetic fuzzy systems
robotic systems
Opis:
This paper describes an evolutionary algorithm application for the optimization of a reactive fuzzy controller applied to mobile robot navigation. The evolutionary algorithm optimizes the fuzzy inference system and the position and number of the sensors on the robot, while trying to use the less power possible.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 4; 74-77
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Particle swarm optimization based fuzzy clustering approach to identify optimal number of clusters
Autorzy:
Chen, M.
Ludwig, S. A.
Powiązania:
https://bibliotekanauki.pl/articles/91549.pdf
Data publikacji:
2014
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
optimization
fuzzy clustering
cluster analysis
particle swarm optimization (PSO)
PSO
fuzzy Sammon mapping
Sammon mapping
Opis:
Fuzzy clustering is a popular unsupervised learning method that is used in cluster analysis. Fuzzy clustering allows a data point to belong to two or more clusters. Fuzzy c-means is the most well-known method that is applied to cluster analysis, however, the shortcoming is that the number of clusters need to be predefined. This paper proposes a clustering approach based on Particle Swarm Optimization (PSO). This PSO approach determines the optimal number of clusters automatically with the help of a threshold vector. The algorithm first randomly partitions the data set within a preset number of clusters, and then uses a reconstruction criterion to evaluate the performance of the clustering results. The experiments conducted demonstrate that the proposed algorithm automatically finds the optimal number of clusters. Furthermore, to visualize the results principal component analysis projection, conventional Sammon mapping, and fuzzy Sammon mapping were used.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 1; 43-56
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzziness and probability for portfolio management
Autorzy:
Walaszek-Babiszewska, A.
Mendecki, W.
Powiązania:
https://bibliotekanauki.pl/articles/118067.pdf
Data publikacji:
2006
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
portfolio of assets
fuzzy numbers
optimization
Opis:
In the paper the portfolio of financial assets has been formulated using the fuzzy numbers idea and the statistical information concerning assets. The optimization task of the portfolio structure has been formulated for two types of fuzzy numbers. The data from Polish ma rket have been used for exemplary calculations.
Źródło:
Applied Computer Science; 2006, 2, 2; 93-104
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi - criteria decision making using fuzzy preference relations
Autorzy:
Borzęcka, H.
Powiązania:
https://bibliotekanauki.pl/articles/406292.pdf
Data publikacji:
2012
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fuzzy sets
optimization
Pareto-optimal set
Opis:
When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and application of a model of multi-criteria decision making using a fuzzy preference relation are considered. The paper is dedicated to the problem of modeling preferences in terms of fuzzy binary relations and provides an introduction to the important problem of forming fuzzy preference relations to analyze models of multi-attribute decision making. The key features of the multi-criteria evaluation, comparison, choice and ordering of alternatives in a fuzzy environment using fuzzy preference relations have been introduced.
Źródło:
Operations Research and Decisions; 2012, 22, 3; 5-21
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tuning of a Fuzzy System for Controlling Searching Process In Multi Objective Scheduling Immune Algorithm
Autorzy:
Wosik, I.
Skołud, B.
Powiązania:
https://bibliotekanauki.pl/articles/971215.pdf
Data publikacji:
2009
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
Immune Algorithm
multi objective optimization
fuzzy system
Opis:
In the paper the Multi Objective Immune Algorithm (MOIA) for an open job shop scheduling problem (OJSP) is proposed. The OJSP belongs to most both time consuming and most complicated problems in scope of searching space. In the paper schedules are evaluated by using three criteria: makespan, flowtime and total tardiness. MOIA proposes a schedule, which is best one, selected from a set of achieved solutions. An affinity threshold is a parameter that controls equilibrium between searching space and solutions diversity in MOIA. The affinity threshold is defined by using fuzzy logic system. In the paper fuzzy system is tuned by selecting shape, size of fuzzy sets, and fuzzy decisions of an affinity threshold. If the fuzzy system is used then neither the knowledge about the affinity threshold nor influence over searching processes is not required from a decision-maker. The application of the fuzzy system makes the process of decision-making user friendly. In the paper efficiency of MOIA before and after the fuzzy system tuning is compared and computational results are presented.
Źródło:
Journal of Machine Engineering; 2009, 9, 1; 130-143
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Computational optimization and implementation of control system for mechatronic treadmill with body weight support system
Autorzy:
Gembalczyk, G.
Duda, S.
Świtoński, E.
Powiązania:
https://bibliotekanauki.pl/articles/281400.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
gait reeducation
control system
optimization
fuzzy logic
Opis:
The purpose of this paper is to present a novel mechatronic system for gait re-education which consists of a body weight support system (BWS system) and a treadmill. This publication covers mainly issues related to the design and optimization process of a control algorithm dedicated for the unloading system. The proposed control system is based on a fuzzy logic controller coupled with a PID regulator. The optimization of parameters for regulators has been conducted based on numerical simulations in which a hybrid optimization method combining a genetic algorithm with a gradient algorithm has been used. The developed control system has been tested experimentally.
Źródło:
Journal of Theoretical and Applied Mechanics; 2018, 56, 4; 1179-1191
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-criteria simulation model for determining dengue outbreaks
Autorzy:
Jakubowski, Piotr
Erandi, Hasitha
Mahasinghe, Anuradha
Perera, Sanjeewa
Ameljańczyk, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/1839259.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
climate data
mobility
fuzzy sets
Pareto optimization
Opis:
In this study, we develop a multi-criteria model to identify dengue outbreak periods. To validate the model, we performed a simulation using dengue transmission-related data in Sri Lanka’s Western Province. Our results indicated that the developed model can be used to predict a dengue outbreak situation in a given region up to one month in advance.
Źródło:
Computer Science; 2020, 21 (3); 353-370
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent Machining of Shape Memory Alloys
Autorzy:
Gupta, Kapil
Powiązania:
https://bibliotekanauki.pl/articles/2123283.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
WEDM
optimization
shape memory alloy
TOPSIS-Fuzzy
Opis:
Shape memory alloys are important biomaterials but difficult-to-machine (DTM). Their machining needs to be done using intelligent techniques to obtain a better machinability. Hybrid optimization is one of such techniques which can do modelling and optimization of machining parameters for the best values of machinability indicators. Wire electric discharge machining (WEDM) of shape memory alloy has been found as a prominent alternate to the conventional machining techniques, however it needs the assistance of intelligent techniques to machine such materials to get the optimum values of machinability indicators. In this paper, WEDM of shape memory alloy Ni55.8Ti is reported. WEDM has been done by varying four process parameters i.e. servo voltage SV, pulse-on time Pon, pulse-off time Poff, and wire feed rate WF using Taguchi L16 robust design of experiment technique. A hybrid optimization technique TOPSIS-Fuzzy-PSO has been successfully used to optimize these parameters (SV-50V; Pon-1µs; Poff-17 µs; WF-4 m/min) for the best possible values of material removal rate (MRR)- 0.049 g/min, maximum roughness- 11.45 µm, and recast layer- 22.10 µm simultaneously.
Źródło:
Advances in Science and Technology. Research Journal; 2021, 15, 3; 43--53
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on the mill feeding system of an elastic variable universe fuzzy control based on particle swarm optimization algorithm
Autorzy:
Tian, Niu
Huang, Songwei
He, Lifang
Du, Lingpan
Yang, Sheping
Huang, Bin
Powiązania:
https://bibliotekanauki.pl/articles/24085898.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fuzzy control
contraction-expansion factor
particle swarm optimization
Opis:
The grinding process in the concentrator is a part of the largest energy consumption, but also the most likely to cause a waste of resources, so the optimization of the grinding process is a very important link.The traditional fuzzy controller relies solely on the expert knowledge summary to construct control rules, which can cause significant steady-state errors in the model. In order to solve the above problem, this paper proposes an elastic variable universe fuzzy control based on Particle Swarm Optimization (PSO) algorithm. The elastic universe fuzzy control model does not need precise fuzzy rules, but only needs to input the general trend of the rules, and the division of the universe is performed by the contraction-expansionfactor. The control performance is directly related to the contraction-expansionfactor, so this article also proposes using particle swarm optimization to optimize the scaling factor to achieve the optimal value. Finally, simulation models of traditional fuzzy control and elastic universe fuzzy control of feeding system of mill were built using Python to verify the control effect. Itssimulation results show that the time of the reaction of the fuzzy control system in the elastic variable theory universe based on particle swarm optimization was shorter by 34.48% comparing to the traditional one. Elastic variable universe fuzzy control based on particle swarm optimization (PSO) effectively improved the control accuracy of the mill feeding system and improved the response speed of the system to a certain extent.
Źródło:
Physicochemical Problems of Mineral Processing; 2023, 59, 3; art. no. 169942
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy trading system on the forex market for deriving the portfolio of instruments
Autorzy:
Juszczuk, Przemysław
Kruś, Lech
Powiązania:
https://bibliotekanauki.pl/articles/31342748.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
trading system
forex market
fuzzy sets
multicriteria optimization
Opis:
Decision support and trading systems for the forex market mostly derive a single signal for the decision-maker. This is so, because instruments are evaluated based on a single criterion, which creates a ranking of instruments, from which the best one is selected. At the same time, one can observe a lack of tools al- lowing one to derive the set of non-dominated trading opportunities considered in the multicriteria space. This article focuses on multicriteria analysis, in which several different market indicators describe a single instrument on the forex market (currency pair), leading to definite criteria. Thus, for a given time horizon, we consider a set of currency pairs described by a group of technical market indicators in every trading session. However, instead of deriving crisp information, based on the buy-no buy binary logic, we use concepts from the fuzzy sets theory, in which each criterion for a single variant takes a value from the h0, 1i interval. We select only the non-dominated variants from such a set, which will be used as elements of the portfolio of currency pairs on the forex market. We test our idea on the real-world data covering more than ten years, several technical market indicators, and over twenty different currency pairs. The preliminary results show that the proposed idea can be treated as a promising concept for deriving a portfolio of currency pairs instead of focusing on only a single currency pair.
Źródło:
Control and Cybernetics; 2022, 51, 4; 467-486
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 62

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