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- W4225595186 abstract "AbstractThe article proposes a method of fuzzy integrated assessment of the sustainability of the agricultural engineering industry. The technique allows you to work with a set of heterogeneous indicators. Agricultural engineering is one of the main elements of the machine-building industry of the economy. Agricultural engineering can be called support for the development of agriculture. It is establishing a strong direct relationship between the levels of development of agriculture and agricultural engineering. The degree of development of the machine-building industry depends on the demand for agricultural machinery, increasing the intensity of agricultural production, increasing the number of farms, and their efficiency. In turn, sustainable, well-developed agricultural production is the key to the food security of the population. This is the relevance of the study. The method of fuzzy integrated assessment allows not only to estimate the sustainability of agricultural engineering by heterogeneous criteria but also to make management decisions at the condition of missing information. The peculiarity of the method is that it works with three groups of indicators: economic, social, and technological. The technique does not involve the use of time series and trend detection. The process is base on the normalization of sustainability indicators at regional, federal and global levels. The boundaries of the terms of sustainability indicators are fuzzy variables that vary depending on the overall state of the economy. The methodology provides for the possibility of taking into account the opinions of experts. The method is quite universal and easily adaptable for assessing the stability of other sectors of the economy and their components. Based on the analysis of the values of individual sustainability indicators relative to their falling within the desired boundaries, it is possible to propose specific measures to improve the state of the industry and enhance its development. This is the significance of the research performed.KeywordsFuzzy assessmentAssessment methodologySustainability of the industryAgricultural engineeringExpert assessmentsManagement decisions" @default.
- W4225595186 created "2022-05-05" @default.
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- W4225595186 date "2022-01-01" @default.
- W4225595186 modified "2023-09-24" @default.
- W4225595186 title "Fuzzy Assessment of the Sustainability of the Agricultural Engineering Industry" @default.
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- W4225595186 doi "https://doi.org/10.1007/978-3-030-97057-4_1" @default.
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