The use of fuzzy sets to form the staffing of a medical institution

S.Yu. Zhuleva; A.V. Kroshilin; S.V. Kroshilina

doi:10.18127/j15604136-202404-11

The use of fuzzy sets to form the staffing of a medical institution

S.Yu. Zhuleva¹, A.V. Kroshilin², S.V. Kroshilina³

research article UDC 684.511 Pages: 80-86 doi.org/10.18127/j15604136-202404-11

^1,2,3 FSBEI HE Ryazan State Radio Engineering University named after V.F. Utkina (Ryazan, Russia)

Keywords: Staffing of a medical institution theory of fuzzy sets factors of influence adjacency matrix

Abstract

The timely provision of medical care directly depends on the well-planned time of the medical staff. The use of information systems and decision support systems can improve efficiency and reduce healthcare costs. A difficult problem to solve in medical information systems is the uncertainty of information associated with the failure to meet the conditions for completeness and reliability of incoming information when organizing the work of a medical institution. The use of a fuzzy logic mechanism in decision support systems to assess the staffing of a medical institution will allow taking into account the influence of many factors at the initial decision-making stage, which will contribute to improving the efficiency of the personnel of a medical organization.

Received: 22.05.2024
Approved after review: 20.06.2024
Accepted: 22.07.2024

How to cite

Жулева С.Ю., Крошилин А.В., Крошилина С.В. Применение нечетких множеств для формирования кадрового обеспечения медицинского учреждения // Биомедицинская радиоэлектроника. 2024. T. 27. № 4. С. 80-86. DOI: https://doi.org/10.18127/ j15604136-202404-11

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[1] Borisov S.A., Fedulov V.V. Nechetkiye otsenochnyye modeli slozhnykh sistem s uchetom soglasovaniya neravnoznachnykh tseley. Neyrokompyutery: razrabotka. primeneniye. 2003. № 5. S. 3–12. (in Russian).

[2] Vinogradova. L.I., Dolzhenko E.N., Kroshilin A.V., Sabgayda T.P., Tsybikova E.B. Otsenka faktorov riska. vliyayushchikh na rezultaty lecheniya vpervyye vyyavlennykh bolnykh tuberkulezom legkikh. Tuberkulez i bolezni legkikh. 2014. № 12. S. 40–46. (in Russian).

[3] Zade L. Ponyatiye lingvisticheskoy peremennoy i eye primeneniye k prinyatiyu priblizhennykh resheniy. Per. s angl. N.I. Ringo. M.: Mir. 1976. 168 s. (in Russian).

[4] Zhuleva S.Yu., Kroshilin A.V., Kroshilina S.V. Podderzhka prinyatiya resheniy v zadachakh raspredeleniya nagruzki meditsinskikh rabotnikov na osnove metodov iskusstvennogo intellekta. Biomeditsinskaya radioelektronika. 2018. № 8. S. 54–59. (in Russian).

[5] Zhuleva S.Yu., Doan D.Kh., Kroshilin A.V. Raspredeleniye nagruzki meditsinskogo personala na osnove teorii nechetkikh mnozhestv. Prioritetnyye napravleniya razvitiya obrazovaniya i nauki. Materialy Mezhdunar. nauch.-prakt. konf. (Cheboksary. 9 apr. 2017 g.). V 2-kh t. T. 2. Cheboksary: TsNS «Interaktiv plyus». 2017. S. 57–59. (in Russian).

[6] Doan D.Kh., Zhuleva S.Yu., Kroshilina S.V. Primeneniye teorii nechetkikh mnozhestv i nechetkoy logiki dlya predstavleniya meditsinskikh znaniy v sistemakh podderzhki prinyatiya resheniy meditsinskogo naznacheniya. Sovremennyy vzglyad na budushcheye nauki: Sb. statey Mezhdunar. nauch.-prakt. konf. (20 marta 2017 g., g. Kazan). V 3-kh ch. Ch. 2. Ufa: AETERNA. 2017. S. 22–25. (in Russian).

[7] Zhuleva S.Yu., Kroshilin A.V., Kroshilina S.V. Predstavleniye znaniy na osnove teorii nechetkikh mnozhestv v meditsinskikh predmetnykh oblastyakh. Biomeditsinskaya radioelektronika. 2022. T. 25. № 4. S. 62–70. (in Russian).