COMPREHENSIVE ASSESSMENT OF THE MAIN INDICATORS OF THE HEALTHCARE SYSTEM IN SURKHANDARYA REGION USING FUZZY MODELING
Keywords:
Healthcare system, Surkhandarya region, statistical analysisAbstract
This article analyzes the healthcare system indicators of Surkhandarya region using statistical and econometric methods. Based on data from 2013–2024, trend models were constructed and forecasts for 2025–2030 were made. The key indicators include population size, birth and mortality rates, morbidity, number of medical personnel, hospital beds, and outpatient facilities. Fuzzy modeling methods were applied to estimate the upper and lower bounds of forecast values, while weight coefficients were calculated using the Fishburn rule. The results revealed regional disparities and emphasized the need to adjust investment policy and expand private sector participation in the healthcare system.
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Copyright (c) 2025 Ismoilova Dilfuza Ibodullayevna

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