ISSN 2071-8594

Russian academy of sciences

Editor-in-Chief

Gennady Osipov

M.G. Mammadova, Z. G. Jabrayilova Decision-making methods for the management of the medical personnel recruitment

Abstract.

The article is dedicated to the development of decision-making methods for the intelligent management of medical personnel recruitment. The problem of the management of the healthcare staff labor market is identified as ill-structured problem and reduced to the problem of decision-making based on selecting the policy for the agreement of supply and demand. It also proposes the models for supply and demand in the healthcare staff labor market on the based fuzzy situation analysis, possible scenarios for the relationship between supply and demand are outlined. By taking into account the varying nature of the agreement between supply and demand, fuzzy pattern recognition based decision-making methods have been developed for the healthcare staff recruitment.

Keywords:

situation analysis, fuzzy pattern recognition, fuzzy similarity, degree fuzzy equality, decisionmaking.

PP. 69-81.

REFERENCES


1. Dussault, G., J. Buchan, W. Sermeus, and Z. Padaiga. Assessing future health workforce needs, Policy summary prepared for the Belgian EU Presidency Conference on Investing in Europe's health workforce of tomorrow: scope for innovation and collaboration (La Hulpe, 9–10 September 2010). Available at:www.euro.who.int/__data/assets/pdf_file/0019/124417/e94295.pdf
2. Green paper. On the European workforce for health. Commission of the European communities. Brussels 10.12.2008. COM (2008) 725 final. EN). Available at: http://ec.europa.eu/health/ph_systems/docs/workforce_gp_en.pdf
3. A Universal Truth: No health without a workforce. Available at: www.who.int/workforcealliance/knowledge/resources/hrhreport2013/en/
4. Recent Studies and Reports on Physician Shortages in the US October 2012. Center for Workforce Studies Association of American Medical Colleges. Available at: www.aamc.org/download/100598/data/
5. Kuznecov V. V., A. V. Kalinin, L. N. Trusova, and V. N. Rasskazova. 2014. Analiticheskij obzor po problemam kadrovogo resursoobespecheniya sistemy zdravoohraneniya Rossii i za rubezhom [Analytical review on the issues of health personnel stock system in Russia and abroad]. Vestnik obshchestvennogo zdorov'ya i zdravoohraneniya Dal'nego Vostoka Rossii [Bulletin of public health of Far ERast Russia]. 2. Available at: www fesmu.ru/voz/20142/2014202.aspx
6. Healthcare, social security and housing conditions in Azerbaijan, Statistical yearbook, Baku 2016.
www.stat.gov.az/menu/6/statistical_yearbooks/
7. Physician Supply and Demand Through 2025: Key Findings. Association of American Medical Colleges, 2015.
www.aamc.org/download/426260/data/physiciansupplyanddemandthrough2025keyfindings.pdf
8. Scheffler, R. M. The Labour market for human resources for health in low- and middle-income countries. Available at: http://www.who.int/hrh/resources/Observer11_WEB.pdf
9. WHO Statistical Information System (WHOSIS). 2010. Available at:
www.who.int/whosis/whostat/EN_WHS10_Full.pdf?ua=1
10. Otstavnikh, D. V. Staffing problems in health care today. Available at: www.fesmu.ru/voz/20124/2012405.aspx
11. Barbara M., Akiko M., Edson C.A., Christophe L, Atef E. M.. Giorgio C. 2013. Why do health labour market forces matter? Bulletin of the World Health Organization. 91:841-846.
12. Pascal Z., Mario R.D.P., Barbara S., Orvill A. 2004. Imbalance in the health workforce. Human Resources for Health. 2.13:1478–1492.
13. Simon, H. A. 1973. The structure of ill structured problems. J.Artificial Intelligence. 4:181–201. DOI:10.1016/0004- 3702(73)90011-8
14. Mamedova, M. G. 1997. Prinyatie reshenij na osnove baz znanij s nechetkoj relyacionnoj strukturoj. -Decision-making based on knowledge bases with a fuzzy relational structure. Baku: ELM, 296 p.
15. Mammadova, M. G., and Z. G. Jabrayilova. 2017. Modeling of the interaction between supply and demand for medical staff on the basis of fuzzy situational analysis. Problems of information technology. 1:26–35.
16. Shahin, A. B., and O. M. Devi. 2011. Fuzzy Algorithms for Pattern Recognition in Medical Diagnosis. Assam University Journal of Science & Technology: Physical Sciences and Technology. Available at: file:///C:/Users/HP/Downloads/525-1573-1-PB.pdf
17. Hung, K. C. 2012. Medical pattern recognition: applying an improved intuitionistic fuzzy cross-entropy approach. Advances in fuzzy Systems. DOI.10.1155/2012/863549
18. Srivastava A., and S. Maheshwari. 2016. Decision making in medical investigations using new divergence measures for intuitionistic fuzzy sets. Iranian Journal of Fuzzy Systems. 13(1):25–44. Available at: http://ijfs.usb.ac.ir/article_2285_366.html
19. Mikіch H. I., and E. V. Burov. 2016. Research of uncertainties in situational awareness systems and methods of their processing. Eastern-European Journal of Enterprise Technologies. 4(79):19–27. DOI: http://dx.doi.org/10.15587/1729-4061.2016.60828
20. Mamedova, M. G., and F. R. Mamedzade. 2015. Razrabotka konceptual'nyh osnov intellektual'nogo upravleniya sprosom i predlozheniem na rynke truda specialistov po informacionnym tekhnologiyam -Development of conceptual foundations of intellectual management of demand and supply of IT specialists labor market-. Vostochno-Evropejskij zhurnal peredovyh
tekhnologij -Eastern-European Journal of Enterprise Technologies-. 4/3 (76):53–67. DOI: 10.15587/1729-4061.2015.47458
21. Zadeh L. A. 1976. Ponyatie lingvisticheskoj peremennoj i ego primenenie k prinyatiyu priblizhennyh reshenij. -The concept
of a linguistic variable and its application to the adoption of approximate solutions-. Moscow: Mir. 168 p.
22. Larichev O.I. 2006. Verbal'nyj analiz reshenij. [Verbal analysis of decisions]. Moscow: Nauka, 181 s.
23. Melihov, A. N., L. S. Bernshtejn, and S. Y.A. Korovin. 1990. Situacionnye sovetuyushchie sistemy s nechetkoj logikoj.-Situational advisory systems with fuzzy logic. Moscow: Nauka. 272 p.
24. Mammadova, M. G., Z. G. Jabrayilova, and F. R. Mammadzada. 2016. Fuzzy multi-scenario approach to decision-making support in human resource management. In book: L.A. Zadeh et al. (eds.), Recent Developments and New Direction in Soft-Computing Foundations and Applications 529 p., Studies in Fuzziness and Soft Computing, Springer International Publishing Switzerland. 342:19–36. DOI 10.1007/978-3-319-32229-2_3.
25. Saati, T. L. 1993. Prinyatie reshenij. Metod analiza ierarhij. Decision-making. The method of hierarchical analysis-.Moscow: Radio i svyaz. 320 p.
26. Djabrailova, Z. G., and S. M. Nobari. 2011. Processing methods of information about the importance of the criteria in the solution of personnel management problems and contradiction detection. Problems of information technology. 1:57–66.
27. Nejman, D., and O. Morgenshtern. 1970. Teoriya igr i ehkonomicheskoe povedenie. Game theory and economic behavior-.Moscow: Nauka, 708 p.
28. https://jobs.day.az
29. www.olx.kz/rabota/meditsina-farmatsiya/astana/
30. http://e-health.gov.az/vakansiyalar/Vezife_telimat_pdf/MR_V5A_son-MoH.pdf
31. www.rabota.az/vacancy/sehiyye-eczailiq/tibbi-personal
32. Mammadova M. H., and Z. G. Jabrayilova. 2015. Multi criteria optimization of human resource management problems based on the modified TOPSIS methods // Eastern European Journal of Advanced Technologies, 2/4.74:48-61. DOI: 10.15587/1729-4061.2015.40533
33. Afshari A. R., N. Milan, and Ć. Dragan. 2014. Applications of fuzzy decision making for personnel selection problem - a review. Journal of Engineering Management and Competitiveness. 2014. 4 (2):68–77.
34. Mohsen V., and N. Behrouz. 2014. A fuzzy AHP approach for employee recruitment. Decision Science Letters. 3:27–36.