Abstract
The paper explores the process of appointment of positions in an organization in conditions of uncertainty. We extend the optimization problem [28] of the process of appointment and reappointment, based on partial knowledge about the values of evaluation criteria of the human resources over time. Here, the 3-dimensional optimal appointment problem is formulated and an algorithm for its optimal solution is proposed, where the evaluations of candidates against criteria formulated by several experts at a fixed time, are interval-valued intuitionistic fuzzy pairs (IVIFPs). The proposed algorithm for the solution takes into account the ratings of the experts and the weight coefficients of the assessment criteria according to their priority for the respective position.
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This work was supported by the Bulgarian Ministry of Education and Science under the National Research Programme “Young scientists and postdoctoral students”, approved by DCM # 577/ 17.08.2018.
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Traneva, V., Atanassova, V., Tranev, S. (2020). Three-Dimensional Interval-Valued Intuitionistic Fuzzy Appointment Model. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. Studies in Computational Intelligence, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-030-22723-4_12
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