Abstract
Among the methods of time management, the Eisenhower matrix is widely used, the essence of which is to divide the tasks into four degrees of importance – important-urgent, important-non-urgent, unimportant-urgent, unimportant-non-urgent. At the same time, it is sometimes quite difficult to determine exactly which of the categories the input task belongs to. Therefore, in these conditions, there is a need to create a method for classifying time management tasks according to the appropriate degrees of importance and a convenient web-oriented tool to support decision-making that implements it. In the research, the authors propose to use the Analytic Hierarchy Process (AHP) to compare the input tasks of time management on the criteria of importance and urgency. The object of research is the methods of time management, in particular the “Eisenhower matrix”. The subject of research is the method of classification of input problems to the Eisenhower matrix by degrees of importance using the AHP. The proposed method is implemented in a web-oriented resource, which provides online automation of the process of classifying time management tasks. The obtained experimental results confirm the expediency of using the authors’ combination of the Eisenhower matrix method and the AHP to solve time management problems.
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Maksymov, A., Tryus, Y. (2023). Combined Method of Solving Time Management Tasks and Its Implementation in the Decision Support System. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_9
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