Methods and approaches of Complexity Theory and Fuzzy Logic for intensity of university research in terms of Creative Work to be estimated

Authors

  • Marina Railevna Galiakhmetova Izhevsk State Technical University named after M.T. Kalashnikov
  • Vladimir Pavlovitch Koretskiy Izhevsk State Technical University named after M.T. Kalashnikov
  • Irina Mikhailovna Mardanova Bashneft-Treid LTD Udmurtia Regional Brunch
  • László Józsa J.Selye University

DOI:

https://doi.org/10.15549/jeecar.v6i1.241

Keywords:

rationing of labor, creative work, assessment effort, complexity theory, fuzzy logic, work measurement, work norm-setting, brain-work, time study

Abstract

This article describes the main approaches to research in terms of creative labor regulation and time study. Definition of a creative labor and brain-work product as a subject of regulation and work intensity estimation was developed. The method for creative brain-work intensity estimation was based on complexity theory, which enables the evaluation of the complexity of creative brain-work results and time expenditure. Because of the appropriateness of linguistic expert assessments while labor intensive creative work is carried out, the methods and approaches of fuzzy logic were suggested to assess the Competence Complexity of the creative work product. Based on statistical and expert models, a regression was built to estimate time expenditure dependence of the creative brain-work expected outcomes on Competence Complexity. The resulting dependency allows the estimation of the time spent on the research project based on the estimation of the expected project results.

Author Biographies

Marina Railevna Galiakhmetova, Izhevsk State Technical University named after M.T. Kalashnikov

Associate Professor of the Enterprise Economics Faculty

Vladimir Pavlovitch Koretskiy, Izhevsk State Technical University named after M.T. Kalashnikov

Associate Professor of the Enterprise Economics Faculty

Irina Mikhailovna Mardanova, Bashneft-Treid LTD Udmurtia Regional Brunch

HR Manager

References

Botashev, R.A. (2011). Problems and ways of perfection of system of norms and work specifications to innovative economy. Scientific Journal of KubSAU, 71 (07), 1-23. http://ej.kubagro.ru/2011/07/pdf/15.pdf

Changli, I.I. (1973). Labor. Sociological aspects of the theory and methodology of the research carrying out. Moscow: Science.

Chapra, S. (2008). Numerical methods for engineers (6th ed). McGraw-Hill.

Durnev, R.A., Zhdanenko, I.V. (2012). R&D laboriousness estimation in the life safety science branch: problems, ideas, approaches. VNIIPGOChS – Emercom of Russia, Moscow.

Durnev, R.A., Zhdanenko, I.V. (2014). About the Project of the Technique of the Assessment of Labour input and Cost Research and Developmental Works. Modern high technologies, 1, 19-28. http://www.top-technologies.ru/ru/article/view?id=33623.

Feoktistova, O.A. (2014). Norm-setting of research work: methodological approaches. E-journal “Naukovedenie”, 5 (24), 1-20. http://naukovedenie.ru/PDF/109EVN514.pdf

Florida R. (2012). The Rise of the Creative Class, 2012, New York, Perseus Book Group

Genkin B.M. Economy and sociology of the labor: subject book for high education (7th ed). Norm. - Moscow.

Ibragimov, A.U., Ibragimova, L.A., Karavayeva, M.V. (2012). Assessment of commercial enterprise personnel competence using fuzzy logic method. Vestnik of the Samara State Aerospace University, 1 (32), 242-249.

Karyakin, A.M., Grubov, E.O. (2012). Laboriousness estimation approach of research, scientific and development works in power engineering with fuzzy expert judgments. Vestnik IGEU, 3, pp. 1-6.

Kleiner, G.B. (2004). Awareness about knowledge management. Voprosy Economiki, 1, pp. 151 -155. DOI: https://doi.org/10.32609/0042-8736-2004-1-151-155

Kushnir, A.B. (2010). The creative work specialties in the terms of it norm-fixing and measurement. Vestnik NII Truda, 23 (34), pp. 64-66.

Kushnir, A.D. (2007). Creative work estimation and remuneration labor. Ph.D thesis. Moscow.

Kutsenko, V., Udovitchenko, V., Opaleva, I. (1998). Education as a factor of stability and homeland security. Economy of Ukraine, 1, 12-21.

Luck A.N. (1978). Psychology of creativity. Science, - Moscow.

Makarov, V.L., Kleiner, G.B. (2007). Microeconomics of knowledge. Economika – Moscow.

Makhlup, F. (1962). The Production and Distribution of Knowledge in the United States. Princeton University Press.

Packlin, N.B. (2004). Adaptive models of fuzzy logic for non-linear dependence in complex structures to be defined. PhD thesis. Izhevsk.

Richardson, W.J. (1971), Measurement of work using multiple regression indirect. The International Journal of Production Research, Vo 4, 4, 301-312. DOI: https://doi.org/10.1080/00207547108929896

Rosstat. (2017). Work and Employment in Russia. Moscow: Rosstat. Retrieved from http://www.gks.ru/free_doc/doc_2017/trud_2017.pdf.

Serbinovskiy, B.Y., Kalmykova, N.G., Botashev, R.A. (2013). Development of self-employment of the population and the problem of rationing creative activities in the RnD-organizations: theoretic-methodological aspects of new knowledge, product, technology and equipment. Part 1. E-journal Engineering journal of Don, 1. http://www.ivdon.ru/en/magazine/archive/n1y2013/1521.

Sharin, Yu.S., Yakimovithc, B.A., Tolmatchev, V.G., Korshunov, A.I. (1999). Theory of complexity. ISTU Publishing House.

Shevchenko, N.Yu. (2009). Fuzzy logic using while human resources of enterprises are managed. Economic sciences. http://www.rusnauka.com/11EISN_2011/Economics/5_85009.doc.htm.

Statute about project of Skolkovo innovative center participant title in the wording of Jun. 20. (2016). Retrieved from http://sk.ru/net/participants/p/documents.aspx.

Uvarova, L.I. (1982). Science as society capacity power. Moscow: Science.

Yasin, E.G. (2007). Modernization and society. Voprosy Economiki, 5, pp. 4-29. DOI: https://doi.org/10.32609/0042-8736-2007-5-4-29

Yu.G. Odegov, R.A. Galiakhmetov, S.V. Malinin, L.S. Babynina, Yu. V. Fedorov, M.R. Galiakhmetova, R.L. Fominykh. (2016). Work norm-setting: from theory to application in the modern company, monograph (1st ed.). Izhevsk: PH ISTU named after M.T. Kalashnickov.

Zadeh, L. (2002). From computing with numbers to computing with words — from manipulation of measurements to manipulation of perceptions. International Journal of Applied Math and Computer Science, vol. 12, 3, pp. 307–324. DOI: https://doi.org/10.1063/1.1388678

Published

2019-03-31

How to Cite

Galiakhmetova, M. R., Koretskiy, V. P., Mardanova, I. M., & Józsa, L. (2019). Methods and approaches of Complexity Theory and Fuzzy Logic for intensity of university research in terms of Creative Work to be estimated. Journal of Eastern European and Central Asian Research (JEECAR), 6(1), 86–98. https://doi.org/10.15549/jeecar.v6i1.241