| ITI əməkdaşlarının elmi işləri - məqalə |
| Biblioqrafik təsvir | |
| Mammadova , M.H. Development of Methods for Green Skills Assessment Based on Fuzzy Logic / M.H. Mammadova , Z.G. Jabrayilova // Soft Computing Applications. - 2026. - N: vol.2. - P. 61-69. | |
| Annotasiya | |
| The deepening climate crisis and the need for sustainable development have prompted most countries to recognize the importance of transition to a green economy. This causes a rapid growth of “green” jobs in various spheres of human activity and, accordingly, the need for “green” skills necessary to use new technologies. The implementation of “green” policies leads to the obsolescence of a number of professions and specializations and the emergence of new priority professional groups and specializations in the labor market. New professions and specialties requiring the acquisition of “green” skills create a discrepancy between the demand for human resources of the required profile and their supply. In this regard, the selection of personnel with the necessary skills determines the relevance of developing methods for assessing the supply and demand for specialists, providing an opportunity to assess the compliance of the proposed skills with the requirements of green jobs. This article proposes a methodological approach to intelligent management of supply and demand in the green segment of the labor market. It also develops multi-criteria decision support methods to determine the degree of compliance of the proposed skills with the level of necessary green skills in the context of green professions and specialties. Scenarios for decision support to identify the degree of “greenness” of the proposed skills with the requirements of green jobs are proposed, taking into account the multivariate nature of the coordination of supply and demand. | |
| Elektron variant | |
| Elektron variant |
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