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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Матеріали конференцій
  4. Data stream mining and processing : proceedings of the IEEE second international conference
  5. Data stream mining and processing : proceedings of the IEEE second international conference

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52543
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dc.contributor.authorKondratenko, Yuriy
dc.contributor.authorKondratenko, Nina
dc.coverage.temporal21-25 August 2018, Lviv
dc.date.accessioned2020-06-19T12:06:03Z-
dc.date.available2020-06-19T12:06:03Z-
dc.date.created2018-02-28
dc.date.issued2018-02-28
dc.identifier.citationKondratenko Y. Computational Library of the Direct Analytic Models for Real-Time Fuzzy Information Processing / Yuriy Kondratenko, Nina Kondratenko // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 38–43. — (Big Data & Data Science Using Intelligent Approaches).
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52543-
dc.description.abstractThis paper reveals the computational library of the analytic models for the results of fuzzy arithmetic operations with fuzzy sets. In particular, the focus is on the synthesis of the universal inverse and direct models for maximum of triangular fuzzy numbers with different masks of their parameters. The results of the study verify the efficiency of the suggested computational library with soft computing models for fuzzy information processing in real-time control and decision making.
dc.format.extent38-43
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofData stream mining and processing : proceedings of the IEEE second international conference, 2018
dc.relation.urihttps://doi.org/10.1063/1.3037065
dc.relation.urihttps://doi.org/10.1016/j.fss.2015.06.011
dc.relation.urihttps://doi.org/10.1007/978-3-319-69989-9_31
dc.relation.urihttps://doi.org/10.1007/978-3-642-35641-4_36
dc.relation.urihttp://ojs.academypublisher.com/index.php/jsw/article/download/0404331338/1061
dc.relation.urihttps://doi.org/10.1007/978-3-319-75792-6_8
dc.relation.urihttp://computingonline.net/computing/article/view/868
dc.relation.urihttps://doi.org/10.1007/978-3-642-31718-7_7
dc.relation.urihttps://doi.org/10.1007/978-3-319-03674-8_27
dc.relation.urihttps://doi.org/10.1007/s10559-011-9371-x
dc.subjectcomputational library
dc.subjectfuzzy number
dc.subjectarithmetic operation
dc.subjectmaximum
dc.subjectfuzzy information processing
dc.titleComputational Library of the Direct Analytic Models for Real-Time Fuzzy Information Processing
dc.typeConference Abstract
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.contributor.affiliationPetro Mohyla Black Sea National University
dc.contributor.affiliationUniversity of South Carolina
dc.format.pages6
dc.identifier.citationenKondratenko Y. Computational Library of the Direct Analytic Models for Real-Time Fuzzy Information Processing / Yuriy Kondratenko, Nina Kondratenko // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 38–43. — (Big Data & Data Science Using Intelligent Approaches).
dc.relation.references[1] D. Simon, “Design and rule base reduction of a fuzzy filter for the estimation of motor currents,” International Journal of Approximate Reasoning, 25, pp. 145-167, 2000.
dc.relation.references[2] Y. P. Kondratenko, and E. Y. M. Al Zubi, “The Optimisation Approach for Increasing Efficiency of Digital Fuzzy Controllers,’ 20th Int. DAAAM Symp. "Intelligent Manufacturing and Automation", Published by DAAAM International, Vienna, Austria, pp. 1589-1591, 2009.
dc.relation.references[3] S. Encheva, Y. Kondratenko, M. Z. Solesvik, S. Tumin, “Decision Support Systems in Logistics,” AIP Conference Proc. 1060, 254-256, 2008, https://doi.org/10.1063/1.3037065
dc.relation.references[4] Y. P. Kondratenko, N. Y .Kondratenko, “Soft Computing Analytic Models for Increasing Efficiency of Fuzzy Information Processing in Decision Support Systems,” Chapter in book: Decision Making: Processes, Behavioral Influences and Role in Business Management, R. Hudson (Ed.), Nova Science Publishers, New York, 2015, pp. 41-78.
dc.relation.references[5] J. Kacprzyk, S. Zadrozny, and G. De Tré, “Fuzziness in database management systems: Half a century of developments and future prospects,” Fuzzy Sets and Systems vol, 281, pp. 300-307, 2015, https://doi.org/10.1016/j.fss.2015.06.011
dc.relation.references[6] J Gil-Aluja,. Investment in Uncertainty. Kluwer Academic Publishers, Dordrecht, Boston, London, 1999.
dc.relation.references[7] L. A. Zadeh, “Fuzzy Sets,” Information & Control, 8, pp. 338-353, 1965.
dc.relation.references[8] R.Yager, and D. Filev, Essential of Fuzzy Modeling and Control. Wiley, New York, 1994.
dc.relation.references[9] M. Jamshidi, V. Kreinovitch, J. Kacprzyk, (Eds), Advance Trends in Soft Computing. Proceedings of WCSC 2013, San Antonio, Texas, USA, STUDFUZZ 312, Springer, 2013.
dc.relation.references[10] B. Werners, and Y. Kondratenko, “Alternative Fuzzy Approaches for Efficiently Solving the Capacitated Vehicle Routing Problem in Conditions of Uncertain Demands,” Complex Systems: Solutions and Challenges in Economics, Management and Engineering, C. BergerVachon et al. (Eds.), Studies in Systems, Decision and Control, vol. 125, Berlin, Heidelberg: Springer, 2018, pp. 521-543. DOI: https://doi.org/10.1007/978-3-319-69989-9_31
dc.relation.references[11] J. M. Merigo, A. M. Gil-Lafuente, and R. R. Yager, “An overview of fuzzy research with bibliometric indicators,” Applied Soft Computing, no. 27, pp. 420-433, 2015.
dc.relation.references[12] D. E. Tamir, N. D. Rishe, A. Kandel, (Eds), Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol. 326, Cham-Heidelberg-New Yorl-Dordrecht-London, Springer International Publishing Switzerland, 2015.
dc.relation.references[13] Lodwick, W.A., Kacprzhyk, J. (Eds): Fuzzy Optimization. Studies in Fuzziness and Soft Computing 254, Springer-Verlag, Berlin, Heidelberg, 2010.
dc.relation.references[14] A. Kaufmann, and M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Applications. Van Nostrand Reinhold Company, New York, 1985.
dc.relation.references[15] Y. Kondratenko, and V. Kondratenko, “Soft Computing Algorithm for Arithmetic Multiplication of Fuzzy Sets Based on Universal Analytic Models,” In: Information and Communication Technologies in Education, Research, and Industrial Application. Communications in Computer and Information Science, vol. 469, Ermolayev, V. et al. (Eds): ICTERI’2014, Springer International Publishing, 2014, pp. 49–77. DOI: 10.1007/978-3-319-13206-8_3
dc.relation.references[16] A. Piegat, Fuzzy Modeling and Control. Springer, Heidelberg, 2001.
dc.relation.references[17] L. E. S. Pereira, and V. M. da Costa, "Interval analysis applied to the maximum loading point of electric power systems considering load data uncertainties," International Journal of Electrical Power & Energy Systems, vol. 54, pp. 334, 2014.
dc.relation.references[18] M. Hanss, Applied Fuzzy Arithmetics: An Introduction with Engineering Applications. Springer, Berlin, Heidelberg, NewYork, 2005.
dc.relation.references[19] M. Solesvik, Y. Kondratenko,, G. Kondratenko, et al., “Fuzzy decision support systems in marine practice,” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, pp. 1-6, 9-12 July 2017. DOI: 10.1109/FUZZ-IEEE.2017.8015471
dc.relation.references[20] P. Toth, D. Vigo, (Eds), The vehicle routing problem. SIAM, Philadelphia, 2002
dc.relation.references[21] D. Teodorovic, and G. Pavkovich, “The fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertain,” Fuzzy Sets and Systems, vol. 82, pp. 307-317, 1996
dc.relation.references[22] A. M. Gil-Lafuente, Fuzzy Logic in Financial Analysis. Studies in Fuzziness and Soft Computing, vol. 175, Springer, Berlin, 2005.
dc.relation.references[23] Y. Bodyansky, O. Vynokurova, I. Pliss, and P. Mulesa, “Multilayer Wavelet-Neuro-Fuzzy Systems in Dynamic Data Mining Tasks,” In: Soft Computing: Developments, Methods and Applications, Alan Casey (Ed), Series: Computer Science, technology and applications, Nova Science Publishers, Hauppauge, NY, 2016, pp. 69-146.
dc.relation.references[24] M. Hanss, “Fuzzy Arithmetic for Uncertainty Analysis,” In: Seising R., Trillas E., Moraga C., Termini S. (Eds), On Fuzziness. Studies in Fuzziness and Soft Computing, vol 298. Springer, Berlin, Heidelberg, 2013, pp, 235-240. DOI https://doi.org/10.1007/978-3-642-35641-4_36
dc.relation.references[25] S. Gao, and Z. Zhang, “Multiplication Operation on Fuzzy Numbers,” Journal of Software, vol. 4(4), pp. 331-338, JUNE 2009. http://ojs.academypublisher.com/index.php/jsw/article/download/0404331338/1061.
dc.relation.references[26] A. Klimke, “An efficient implementation of the transformation method of fuzzy arithmetic,” 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, pp. 468-473, 2003. doi: 10.1109/NAFIPS.2003.1226830
dc.relation.references[27] Y. P. Kondratenko, and N. Y. Kondratenko, “Reduced library of the soft computing analytic models for arithmetic operations with asymmetrical fuzzy numbers,” In: Soft Computing: Developments, Methods and Applications, Alan Casey (Ed), Series: Computer Science, technology and applications, Nova Science Publishers, Hauppauge, NY, 2016, pp. 1-38.
dc.relation.references[28] Y. P. Kondratenko, and N. Y. Kondratenko, “Synthesis of Analytic Models for Subtraction of Fuzzy Numbers with Various Membership Function’s Shapes,” In: Gil-Lafuente A. et al. (Eds), Applied Mathematics and Computational Intelligence. FIM 2015. AISC, vol 730. Springer, Cham, 2018, pp.87-100, DOI https://doi.org/10.1007/978-3-319-75792-6_8
dc.relation.references[29] M. Pasieka, N. Grzesik, and K. Kuźma, “Simulation modeling of fuzzy logic controller for aircraft engines,” International Journal of Computing, vol. 16(1), pp. 27-33, 2017. Retrieved from http://computingonline.net/computing/article/view/868
dc.relation.references[30] Y. P. Kondratenko, O. V. Kozlov, O. S. Gerasin, and Y. M. Zaporozhets, “Synthesis and research of neuro-fuzzy observer of clamping force for mobile robot automatic control system,” IEEE First International Conference on Data Stream Mining and Processing (DSMP), pp.90-95, 2016, DOI: 10.1109/DSMP.2016.7583514
dc.relation.references[31] P. Bykovyy, Y. Pigovsky, A. Sachenko, and A. Banasik, “Fuzzy inference system for vulnerability risk estimation of perimeter security,” 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009, pp. 380-384, 2009. DOI 10.1109/IDAACS.2009.5342956
dc.relation.references[32] Y. Bodyansky, O. Vynokurova, I. Pliss, and D. Peleshko, “Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks,” In: Green IT Engineering: Concepts, Models, Complex Systems Architectures, Studies in Systems, Decision and Control, V. Kharchenko et al. (Eds.), Vol. 74. Berlin, Heidelberg: Springer International Publishing, 2017, pp. 229-244. DOI: 10.1007/978-3-319-44162-7_12
dc.relation.references[33] M. Hanss, “An Approach to Inverse Fuzzy Arithmetic,” 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, pp. 474-479, 2003. doi: 10.1109/NAFIPS.2003.1226831
dc.relation.references[34] L. Stefanini, L. Sorini, and M. L. Guerra, “Fuzzy Numbers and Fuzzy Arithmetic,” In: Handbook of Granular Computing, W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), John Wiley and Sons, 2008, pp. 249-284.
dc.relation.references[35] P. Grzegorzewski, “On the Interval Approximation of Fuzzy Numbers,” In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (Eds.): Advances in Computational Intelligence, IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg, 2012, pp. 59-68. DOI https://doi.org/10.1007/978-3-642-31718-7_7
dc.relation.references[36] M. L. Guerra, and L. Stefanini, “Approximate fuzzy arithmetic operations using monotonic interpolations,” Fuzzy Sets and Systems, vol. 150, iss. 1, pp. 40-55, 2005.
dc.relation.references[37] L. Stefanini, “A generalization of Hukuhara difference and division for interval and fuzzy arithmetic,” Fuzzy Sets and Systems, vol. 161, iss. 11, pp. 1564-1584, 2010.
dc.relation.references[38] L. Coroianu, “Necessary and sufficient conditions for the equality of the interactive and non-interactive sums of two fuzzy numbers,” Fuzzy Sets and Systems, vol. 283, pp. 40-55, 2016.
dc.relation.references[39] S. N. Shahbazova, “Application of Fuzzy Sets for Control of Student Knowledge,” An International Journal Applied and Computational Mathematics 10, no. 1, pp. 195-208, 2011.
dc.relation.references[40] O. Chertov, and D.Tavrov, “Memetic algorithm for solving the task of providing group anonymity,” In: Jamshidi M., Kreinovich V., Kacprzyk J. (Eds), Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol. 312. Springer, Cham, 2014, pp. 281-292. DOI: https://doi.org/10.1007/978-3-319-03674-8_27
dc.relation.references[41] M. Z. Solesvik, and S. Encheva, “Partner selection for interfirm collaboration in ship design,” Industrial Management & Data Systems, 110(5), pp. 701-717, 2010.
dc.relation.references[42] M. Solesvik, “Partner selection in green innovation projects,” In: Berger-Vachon C., et al. (Eds.), Complex Systems: Solutions and Challenges in Economics, Management and Engineering, Studies in Systems, Decision and Control, vol. 125, Springer, Cham 2018,.pp. 471-480.
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dc.relation.referencesen[1] D. Simon, "Design and rule base reduction of a fuzzy filter for the estimation of motor currents," International Journal of Approximate Reasoning, 25, pp. 145-167, 2000.
dc.relation.referencesen[2] Y. P. Kondratenko, and E. Y. M. Al Zubi, "The Optimisation Approach for Increasing Efficiency of Digital Fuzzy Controllers,’ 20th Int. DAAAM Symp. "Intelligent Manufacturing and Automation", Published by DAAAM International, Vienna, Austria, pp. 1589-1591, 2009.
dc.relation.referencesen[3] S. Encheva, Y. Kondratenko, M. Z. Solesvik, S. Tumin, "Decision Support Systems in Logistics," AIP Conference Proc. 1060, 254-256, 2008, https://doi.org/10.1063/1.3037065
dc.relation.referencesen[4] Y. P. Kondratenko, N. Y .Kondratenko, "Soft Computing Analytic Models for Increasing Efficiency of Fuzzy Information Processing in Decision Support Systems," Chapter in book: Decision Making: Processes, Behavioral Influences and Role in Business Management, R. Hudson (Ed.), Nova Science Publishers, New York, 2015, pp. 41-78.
dc.relation.referencesen[5] J. Kacprzyk, S. Zadrozny, and G. De Tré, "Fuzziness in database management systems: Half a century of developments and future prospects," Fuzzy Sets and Systems vol, 281, pp. 300-307, 2015, https://doi.org/10.1016/j.fss.2015.06.011
dc.relation.referencesen[6] J Gil-Aluja,. Investment in Uncertainty. Kluwer Academic Publishers, Dordrecht, Boston, London, 1999.
dc.relation.referencesen[7] L. A. Zadeh, "Fuzzy Sets," Information & Control, 8, pp. 338-353, 1965.
dc.relation.referencesen[8] R.Yager, and D. Filev, Essential of Fuzzy Modeling and Control. Wiley, New York, 1994.
dc.relation.referencesen[9] M. Jamshidi, V. Kreinovitch, J. Kacprzyk, (Eds), Advance Trends in Soft Computing. Proceedings of WCSC 2013, San Antonio, Texas, USA, STUDFUZZ 312, Springer, 2013.
dc.relation.referencesen[10] B. Werners, and Y. Kondratenko, "Alternative Fuzzy Approaches for Efficiently Solving the Capacitated Vehicle Routing Problem in Conditions of Uncertain Demands," Complex Systems: Solutions and Challenges in Economics, Management and Engineering, C. BergerVachon et al. (Eds.), Studies in Systems, Decision and Control, vol. 125, Berlin, Heidelberg: Springer, 2018, pp. 521-543. DOI: https://doi.org/10.1007/978-3-319-69989-9_31
dc.relation.referencesen[11] J. M. Merigo, A. M. Gil-Lafuente, and R. R. Yager, "An overview of fuzzy research with bibliometric indicators," Applied Soft Computing, no. 27, pp. 420-433, 2015.
dc.relation.referencesen[12] D. E. Tamir, N. D. Rishe, A. Kandel, (Eds), Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol. 326, Cham-Heidelberg-New Yorl-Dordrecht-London, Springer International Publishing Switzerland, 2015.
dc.relation.referencesen[13] Lodwick, W.A., Kacprzhyk, J. (Eds): Fuzzy Optimization. Studies in Fuzziness and Soft Computing 254, Springer-Verlag, Berlin, Heidelberg, 2010.
dc.relation.referencesen[14] A. Kaufmann, and M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Applications. Van Nostrand Reinhold Company, New York, 1985.
dc.relation.referencesen[15] Y. Kondratenko, and V. Kondratenko, "Soft Computing Algorithm for Arithmetic Multiplication of Fuzzy Sets Based on Universal Analytic Models," In: Information and Communication Technologies in Education, Research, and Industrial Application. Communications in Computer and Information Science, vol. 469, Ermolayev, V. et al. (Eds): ICTERI’2014, Springer International Publishing, 2014, pp. 49–77. DOI: 10.1007/978-3-319-13206-8_3
dc.relation.referencesen[16] A. Piegat, Fuzzy Modeling and Control. Springer, Heidelberg, 2001.
dc.relation.referencesen[17] L. E. S. Pereira, and V. M. da Costa, "Interval analysis applied to the maximum loading point of electric power systems considering load data uncertainties," International Journal of Electrical Power & Energy Systems, vol. 54, pp. 334, 2014.
dc.relation.referencesen[18] M. Hanss, Applied Fuzzy Arithmetics: An Introduction with Engineering Applications. Springer, Berlin, Heidelberg, NewYork, 2005.
dc.relation.referencesen[19] M. Solesvik, Y. Kondratenko,, G. Kondratenko, et al., "Fuzzy decision support systems in marine practice," IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, pp. 1-6, 9-12 July 2017. DOI: 10.1109/FUZZ-IEEE.2017.8015471
dc.relation.referencesen[20] P. Toth, D. Vigo, (Eds), The vehicle routing problem. SIAM, Philadelphia, 2002
dc.relation.referencesen[21] D. Teodorovic, and G. Pavkovich, "The fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertain," Fuzzy Sets and Systems, vol. 82, pp. 307-317, 1996
dc.relation.referencesen[22] A. M. Gil-Lafuente, Fuzzy Logic in Financial Analysis. Studies in Fuzziness and Soft Computing, vol. 175, Springer, Berlin, 2005.
dc.relation.referencesen[23] Y. Bodyansky, O. Vynokurova, I. Pliss, and P. Mulesa, "Multilayer Wavelet-Neuro-Fuzzy Systems in Dynamic Data Mining Tasks," In: Soft Computing: Developments, Methods and Applications, Alan Casey (Ed), Series: Computer Science, technology and applications, Nova Science Publishers, Hauppauge, NY, 2016, pp. 69-146.
dc.relation.referencesen[24] M. Hanss, "Fuzzy Arithmetic for Uncertainty Analysis," In: Seising R., Trillas E., Moraga C., Termini S. (Eds), On Fuzziness. Studies in Fuzziness and Soft Computing, vol 298. Springer, Berlin, Heidelberg, 2013, pp, 235-240. DOI https://doi.org/10.1007/978-3-642-35641-4_36
dc.relation.referencesen[25] S. Gao, and Z. Zhang, "Multiplication Operation on Fuzzy Numbers," Journal of Software, vol. 4(4), pp. 331-338, JUNE 2009. http://ojs.academypublisher.com/index.php/jsw/article/download/0404331338/1061.
dc.relation.referencesen[26] A. Klimke, "An efficient implementation of the transformation method of fuzzy arithmetic," 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, pp. 468-473, 2003. doi: 10.1109/NAFIPS.2003.1226830
dc.relation.referencesen[27] Y. P. Kondratenko, and N. Y. Kondratenko, "Reduced library of the soft computing analytic models for arithmetic operations with asymmetrical fuzzy numbers," In: Soft Computing: Developments, Methods and Applications, Alan Casey (Ed), Series: Computer Science, technology and applications, Nova Science Publishers, Hauppauge, NY, 2016, pp. 1-38.
dc.relation.referencesen[28] Y. P. Kondratenko, and N. Y. Kondratenko, "Synthesis of Analytic Models for Subtraction of Fuzzy Numbers with Various Membership Function’s Shapes," In: Gil-Lafuente A. et al. (Eds), Applied Mathematics and Computational Intelligence. FIM 2015. AISC, vol 730. Springer, Cham, 2018, pp.87-100, DOI https://doi.org/10.1007/978-3-319-75792-6_8
dc.relation.referencesen[29] M. Pasieka, N. Grzesik, and K. Kuźma, "Simulation modeling of fuzzy logic controller for aircraft engines," International Journal of Computing, vol. 16(1), pp. 27-33, 2017. Retrieved from http://computingonline.net/computing/article/view/868
dc.relation.referencesen[30] Y. P. Kondratenko, O. V. Kozlov, O. S. Gerasin, and Y. M. Zaporozhets, "Synthesis and research of neuro-fuzzy observer of clamping force for mobile robot automatic control system," IEEE First International Conference on Data Stream Mining and Processing (DSMP), pp.90-95, 2016, DOI: 10.1109/DSMP.2016.7583514
dc.relation.referencesen[31] P. Bykovyy, Y. Pigovsky, A. Sachenko, and A. Banasik, "Fuzzy inference system for vulnerability risk estimation of perimeter security," 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009, pp. 380-384, 2009. DOI 10.1109/IDAACS.2009.5342956
dc.relation.referencesen[32] Y. Bodyansky, O. Vynokurova, I. Pliss, and D. Peleshko, "Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks," In: Green IT Engineering: Concepts, Models, Complex Systems Architectures, Studies in Systems, Decision and Control, V. Kharchenko et al. (Eds.), Vol. 74. Berlin, Heidelberg: Springer International Publishing, 2017, pp. 229-244. DOI: 10.1007/978-3-319-44162-7_12
dc.relation.referencesen[33] M. Hanss, "An Approach to Inverse Fuzzy Arithmetic," 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, pp. 474-479, 2003. doi: 10.1109/NAFIPS.2003.1226831
dc.relation.referencesen[34] L. Stefanini, L. Sorini, and M. L. Guerra, "Fuzzy Numbers and Fuzzy Arithmetic," In: Handbook of Granular Computing, W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), John Wiley and Sons, 2008, pp. 249-284.
dc.relation.referencesen[35] P. Grzegorzewski, "On the Interval Approximation of Fuzzy Numbers," In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (Eds.): Advances in Computational Intelligence, IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg, 2012, pp. 59-68. DOI https://doi.org/10.1007/978-3-642-31718-7_7
dc.relation.referencesen[36] M. L. Guerra, and L. Stefanini, "Approximate fuzzy arithmetic operations using monotonic interpolations," Fuzzy Sets and Systems, vol. 150, iss. 1, pp. 40-55, 2005.
dc.relation.referencesen[37] L. Stefanini, "A generalization of Hukuhara difference and division for interval and fuzzy arithmetic," Fuzzy Sets and Systems, vol. 161, iss. 11, pp. 1564-1584, 2010.
dc.relation.referencesen[38] L. Coroianu, "Necessary and sufficient conditions for the equality of the interactive and non-interactive sums of two fuzzy numbers," Fuzzy Sets and Systems, vol. 283, pp. 40-55, 2016.
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dc.citation.conferenceIEEE second international conference "Data stream mining and processing"
dc.citation.spage38
dc.citation.epage43
dc.coverage.placenameЛьвів
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