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Index Matrices as a Decision-Making Tool for Job Appointment

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Numerical Methods and Applications (NMA 2018)


The paper explores the process of decision making, related to the appointment of the human factor in an incomplete information environment. We propose for the first time a new approach to optimization of the process of appointment and reappointment, based on partial knowledge about the values of evaluation criteria of the human resources over time, using the apparatuses of index matrices and of intuitionistic fuzzy sets.

In the paper, 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 in a certain time (or location), are intuitionistic fuzzy pairs. The proposed algorithm for the solution takes into account the ratings of the experts and the weighting coefficients of the assessment criterion according to its priority for the respective position.

Supported by the Bulgarian National Science Fund under Ref. No. DN-02-10 “New Instruments for Knowledge Discovery from Data, and their Modelling” and the project of Asen Zlatarov University under Ref. No. NIX-401/2017 “Modern methods of optimization and business management”.

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Correspondence to Velichka Traneva .

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Traneva, V., Atanassova, V., Tranev, S. (2019). Index Matrices as a Decision-Making Tool for Job Appointment. In: Nikolov, G., Kolkovska, N., Georgiev, K. (eds) Numerical Methods and Applications. NMA 2018. Lecture Notes in Computer Science(), vol 11189. Springer, Cham.

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  • Print ISBN: 978-3-030-10691-1

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