ZASTOSOWANIE ROZMYTEJ MAPY KOGNITYWNEJ W PROGNOZOWANIU EFEKTYWNOŚCI PRACY WYPOŻYCZALNI ROWEROWYCH

Aleksander Jastriebow; Łukasz Kubuś; Katarzyna Poczęta

doi:10.5604/01.3001.0010.7363

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Published: Dec 21, 2017

DOI: https://doi.org/10.5604/01.3001.0010.7363

Issue Vol. 7 No. 4 (2017)

Articles

SELECTED PROBLEMS OF EVALUATION AND CLASSIFICATION OF HISTORICAL BUILDINGS USING ROUGH SETS
Krzysztof Czajkowski

5-10
LABORATORY STAND FOR SMALL WIND TURBINE SIMULATION
Wojciech Matelski, Eugeniusz Łowiec, Stanisław Abramik

11-14
DEVELOPMENT OF AN AUTOMATED DIAGNOSTICS AND CONTROL SYSTEM FOR BIOGAS COMBUSTION PROCESSES
Oxana Zhirnova

15-19
SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD
Tomasz Rymarczyk, Grzegorz Kłosowski

20-23
THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS
Tomasz Rymarczyk, Grzegorz Kłosowski, Tomasz Cieplak

24-27
APPLICABILITY ANALYSIS OF REST AND SOAP WEB SERVICES
Tomasz Zientarski, Marek Miłosz, Marek Kamiński, Maciej Kołodziej

28-31
A REVIEW OF CONTROL METHODS OF WIND TURBINE SYSTEMS WITH PERMANENT MAGNET SYNCHRONOUS GENERATOR
Piotr Gajewski

32-37
DIRECT TORQUE CONTROL OF MULTI-PHASE INDUCTION MOTOR WITH FUZZY LOGIC SPEED CONTROLLER
Jacek Listwan

38-43
IMAGE COMPLETION WITH LOW-RANK MODEL APPROXIMATION METHODS
Tomasz Sadowski, Rafał Zdunek

44-48
APPROXIMATION OF ELECTRIC PROPERTIES OF PERIODIC LAYERED COMPOSITE MATERIALS
Adam Steckiewicz, Bogusław Butryło

49-52
BOOST QUASI-RESONANT CONVERTERS FOR PHOTOVOLTAIC SYSTEM
Michał Harasimczuk

53-56
RESEARCH OF FLOW AROUND SELECTED SENSORS PROFILES FOR METROLOGY FLOWS
Piotr Zgolak

57-61
MAXIMUM SUBARRAY PROBLEM OPTIMIZATION FOR SPECIFIC DATA
Tomasz Rojek

62-65
ANALYSIS OF POWER LOSS IN THE LOW-SPEED PNEUMATIC ENGINE
Adam Ilnicki, Mariusz Rząsa

66-69
APPLICATION OF FUZZY COGNITIVE MAP TO PREDICT OF EFFECTIVENESS OF BIKE SHARING SYSTEMS
Aleksander Jastriebow, Łukasz Kubuś, Katarzyna Poczęta

70-73
FUZZY COGNITIVE MAP AS AN INTELLIGENT RECOMMENDER SYSTEM OF WEBSITE RESOURCES
Aleksander Jastriebow, Łukasz Kubuś, Katarzyna Poczęta

74-78
MODELING OF THE ARTIFICIAL BLOOD CHAMBER AND THE MICROPUMPS PULSATILE DRIVE FOR BLOOD TRANSFUSION
Sebastian Bartel

79-81
CONTROL A SMALL WIND TURBINE WITH ASYNCHRONOUS GENERATOR
Kamil Możdżyński, Tomasz Gajowik, Krzysztof Rafał, Mariusz Malinowski

82-87
MECHANICAL PROPERTIES OF SELECTED EPOXY ADHESIVES
Izabela Miturska, Anna Rudawska

88-91
POLYNOMIAL APPROXIMATION FOR T WAVE PARAMETER RECOGNITION IN ECG PROCESSING
Marcin Maciejewski

92-95
THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE
Paweł Powroźnik, Dariusz Czerwiński

96-100
USE OF MULTICRITERIAL OPTIMIZATION IN FURNITURE MANUFACTURING PROCESS
Grzegorz Kłosowski, Edward Kozłowski

101-106
MODEL OF DYNAMIC ELEVATOR CONTROL SYSTEM USING CENTRAL APPLICATION SERVER
Łukasz Furgała, Krzysztof Kolano, Włodzimierz Mosorow

107-112

DOI

https://doi.org/10.5604/01.3001.0010.7363

Authors

Aleksander Jastriebow

a.jastriebow@tu.kielce.pl

Politechnika Świętokrzyska, Katedra Systemów Informatycznych, Poland

Łukasz Kubuś

l.kubus@tu.kielce.pl

Politechnika Świętokrzyska, Katedra Systemów Informatycznych, Poland

Katarzyna Poczęta

k.piotrowska@tu.kielce.pl

Politechnika Świętokrzyska, Katedra Systemów Informatycznych, Poland

Abstract

This paper proposes application of fuzzy cognitive map with evolutionary learning algorithms to model a system for prediction of effectiveness of bike sharing systems. Fuzzy cognitive map was constructed based on historical data and next used to forecast the number of cyclists and customers of bike sharing systems on three consecutive days. The learning process was realized with the use of Individually Directional Evolutionary Algorithm IDEA and Real-Coded Genetic Algorithm RCGA. Simulation analysis of the system for prediction of effectiveness of bike sharing systems was carried out with the use of software developed in JAVA.

Keywords:

fuzzy cognitive map, predictive model, evolutionary computation, machine learning

References

Acampora G., Pedrycz W., Vitiello A.: A Competent Memetic Algorithm for Learning Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy Systems 23(6)/2015, 2397–2411.

Ahmadi S., Alizadeh S., Forouzideh N., Yeh C., Martin R. L., Papageorgiou E.: ICLA: Imperialist Competitive Learning Algorithm for Fuzzy Cognitive Map. Proceedings of the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, 2014.

Arabas J.: Wykłady z algorytmów ewolucyjnych, WNT, Warszawa 2001.

Berry A., Vamplew P.: PoD Can Mutate: A Simple Dynamic Directed Mutation Approach for Genetic Algorithms. Proceedings of AISAT 2004: The 2nd International Conference on Artificial Intelligence in Science and Technology, 2004, 200–205.

Fanaee-T H., Gama J.: Event labeling combining ensemble detectors and background knowledge. Progress in Artificial Intelligence, Springer Berlin Heidelberg, 2013, 1–15.

Froelich W., Papageorgiou E.: Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. Papageorgiou E.I.: Fuzzy Cognitive maps for Applied Sciences and Engineering From fundamentals to extensions and learning algorithms. Intelligent Systems Reference Library 54/2014, 121–131.

Goldberg D. E.: Algorytmy genetyczne i ich zastosowania. WNT, Warszawa 1995.

Homenda W., Jastrzebska A., Pedrycz W.: Modeling Time Series with Fuzzy Cognitive Maps. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, 2014, 2055–2062.

Jastriebow A., Kubuś Ł., Poczęta K.: Learning fuzzy cognitive maps using Individually Directional Evolutionary Algorithm. In: Jastriebow A., Worwa K.: Applications of information technologies - theory and practice. Institute for Sustainable Technologies – National Research Institute, Radom 2015, 37–48.

Korejo I., Yang S., Li C.: A Directed Mutation Operator for Real Coded Genetic Algorithms. Applications of Evolutionary Computation 6024/2010, 491–500.

Kosko B.: Fuzzy cognitive maps. International Journal of Man-Machine Studies 24(1)/1986, 65–75.

Kubuś Ł.: Individually Directional Evolutionary Algorithm for Solving Global Optimization Problems - Comparative Study, International Journal of Intelligent Systems and Applications (IJISA) 7(9)/2015, 12–19.

Michalewicz Z.: Algorytmy genetyczne + struktury danych = programy ewolucyjne. WNT, Warszawa 1999.

Papageorgiou E. I.: Learning Algorithms for Fuzzy Cognitive Maps - A Review Study. IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews 42(2)/2012, 150–163.

Poczęta K., Yastrebov A.: Analysis of Fuzzy Cognitive Maps with Multi-Step Learning Algorithms in Valuation of Owner-Occupied Homes. 2014 IEEE International Conference on Fuzzy Systems (FUZZIEEE), Beijing, China 2014, 1029–1035.

Poczęta K., A. YastrebovA., Papageorgiou E. I.: Learning Fuzzy Cognitive Maps using Structure Optimization Genetic Algorithm. 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, Poland, 2015, 547–554.

Song H., Miao C., Roel W., Shen Z.: Implementation of fuzzy cognitive maps based on fuzzy neural network and application in prediction of time series. IEEE Transactions on Fuzzy Systems 18(2)/2010, 233–250.

Stach W., Kurgan L., Pedrycz W., Reformat M.: Genetic learning of fuzzy cognitive maps. Fuzzy Sets and Systems 153(3)/2005, 371–401.

Stach W., Pedrycz W., Kurgan L. A.: Learning of fuzzy cognitive maps using density estimate. IEEE Trans. on Systems, Man, and Cybernetics, Part B, vol. 42(3)/2012, 900–912.

Tang P., Tseng M.: Adaptive directed mutation for real-coded genetic algorithms. Applied Soft Computing 13(1)/2013, 600–614.

Yesil E., Urbas L.: Big bang: big crunch learning method for fuzzy cognitive maps. World Acad. Sci. Eng. Technol. 71/2010, 815–8124.

Jastriebow, A., Kubuś, Łukasz, & Poczęta, K. (2017). APPLICATION OF FUZZY COGNITIVE MAP TO PREDICT OF EFFECTIVENESS OF BIKE SHARING SYSTEMS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(4), 70–73. https://doi.org/10.5604/01.3001.0010.7363

APPLICATION OF FUZZY COGNITIVE MAP TO PREDICT OF EFFECTIVENESS OF BIKE SHARING SYSTEMS

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