New Indicators of the Level of Social Dissatisfaction in the Planning of Social-Economic Development of the Region

Yurevich, Dolomatov Michel; Martynov, Vitaly; Zhuravleva, N. A.; Shavkatovna, Zakieva Elena

doi:10.17059/2017-1-7

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…*100 (3) Psen -proportion of older than working age people in the total rural population, %; Poplsen -total number of seniors in rural areas, men; Poplrgen -total rural population, men. The share of the elderly population in rural areas in 2018 amounted to 25.4% of the total rural population.…”

Section: Discussionmentioning

confidence: 99%

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Senior population employment as a factor of rural areas sustainable development

2021

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The study aims to develop an informative model for the preparation of employment for seniors in rural areas. Aging of the rural population puts additional demographic pressure on the economy and is a factor in the sustainable development of rural areas, which play a significant role in ensuring food self-sufficiency in the region. The study was conducted in rural areas of the Chelyabinsk region. There was an analytical study of the demographic structure of villagers. There was studied employment and age structure of villagers. With the help of the economic-mathematical method there were calculated the employment rates of elderly people in rural areas, there were assessed the possibilities of involving older people to work in the real economy. The study includes three hypotheses explaining the relationship of the qualitative characteristics of employment of the seniors, the elderly and their reflection in the strategic development programs of rural areas, providing training for seniors. During the study and research it was found that all the hypotheses were confirmed. Thus, the informative model of employment provision of seniors in rural areas is practical importance and can be recommended for implementation in other rural areas.

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Section: Discussionmentioning

confidence: 99%

“…Issues of socio-economic development of territorial systems are reflected in many works of domestic researchers [3].…”

Section: Methodsmentioning

confidence: 99%

Senior population employment as a factor of rural areas sustainable development

2021

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“…The analysis of integral system indicators of the constructed cognitive map revealed a high level of consonance (a measure of confidence in the sign and the force of influence). The high values of the influence of the concepts U2 (0,17) and P3 (0,17) on the system indicate that the amount of funding of higher education institutions and the coverage of youth educational programs of secondary vocational educationtraining programs for middle managers (15-19 years) have a significant impact on the quality of education [15][16]. Further analysis revealed the concepts of P5 (-0.02) and P6 (0.03), which have little impact on the quality of educationthese are the concepts that characterize the number of graduate students and the coverage of children with additional education; which indicates the small values of these concepts [17].…”

Section: Advances In Intelligent Systems Research Volume 166mentioning

confidence: 99%

Intelligent Assistance of Decision-Making in the Management of Multifactor Systems Based on Fuzzy Cognitive Models

Ilyasov¹,

Makarova²,

Zakieva³

et al. 2019

Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

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The article deals with the development of fuzzy cognitive models of the processes of analysis and management of the quality of education as a multifactor system. The approach based on definition of trajectories of achievement of target indicators of education quality with the use of technologies of knowledge engineering is offered. The functional scheme of the model of education quality management is developed. The structuring of factors influencing the quality of education is carried out: management and target indicators, as well as indicators characterizing the current state of the education system are identified. Cognitive modeling is carried out to analyze and support of making decisions on education quality management. Fuzzy cognitive map (FCM) is developed on the basis of statistical data using methods of statistical and intelligent analysis. The analysis of the integrated system indicators of the constructed FCM, the results of which identified the most significant concepts that have the greatest impact on the state of the education system is carried out. The algorithm of Silov is applied for searching for the ways of direct and indirect influence of concepts on each other through the matrix of interaction between concepts, representing intelligent cognitive agent; the search procedure is based on the use maxtriangular operation with fuzzy matrices using the T -and S-norms. The maximum positive and negative ways between the management and target concepts of the FCM are formed, which are considered as possible scenarios for the use of budgetary funds to improve the quality of education. The constructed ways represent a chain of fuzzy rules of the form "if-then" and can be the basis for the formation of recommendations for decision-making in the management of the quality of education.

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“…A great number of Russian and foreign journals published works about analysis of various approaches to the life quality rating (Discoli et al, 2014;Mellor, Cummins, & Loquet, 2012;Johnston, 1988;Malkina, 2017;Dolomatov, Martynov, Zhuravleva, & Zakieva, 2017). Special mention should be made to studies dealing with both the problems of public administration in general and the study of mechanisms and rating the effectiveness of the life quality management (Massam, 2002;McPheat, 1996).…”

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confidence: 99%