Estimating The Mental Health Index in Iran Provinces using fuzzy logic

Authors

  • Ghasemifar, Nosrat-allah MSc of Psychology, Faculty of Psychology Tabriz University
  • Ghasemifar, Samineh MSc of Economics, Faculty of Economic and Social Sciences, Bu-Ali SinaUniversity.Hamedan
  • Mehregan, Nader Associate Professor of Economics Department, Faculty of Economic and Social Sciences, Bu-Ali SinaUniversity
  • Rashid, Khosro Assistant Professor of Psychology Department, Faculty of Economic and Social Sciences, Bu-Ali SinaUniversity
  • Sohrabi Vafa, Hossein PHD Student of Economics, Faculty of Economic Sciences,Allameh Tabatabaei University
Abstract:

Healthy Community is one of the significant factors in the development of any country. Community health has different and diverse dimensions. Mental health is determined as an essential aspect of health. Mental health is determined as an essential aspect of health. Mental health is among the indicators that are affected by a variable factor such as social and macroeconomic variables. So far, several indicators that are of great variety depending on the means and objectives of the study have been proposed by researchers to measure the level of mental health. Promotion of mental health in each country leads to improved worker productivity and increased efficiency. In this study, mental health index was estimated using a fuzzy logic system based on the data from 30 provinces of the country in the years 1378-1391. In estimating the mental health, a questionnaire was developed according to the method of fuzzy logic, and 30 expert psychologists of the country completed socio-individual factors affecting the mental health and then. Investigating the findings of mental health indexes in the year 1391, indicated that among 30 provinces of the country, the provinces of the south and north Khorasan, and Yazd have the highest mental health indexes, and Fars, Tehran, and Isfahan have the lowest indexes of mental health. Generally, the findings indicate the necessity of further attention by authorities and planners to the socio-individual factors that determine mental health in the provinces mentioned above.

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Journal title

volume 8  issue 5

pages  187- 192

publication date 2019-08

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