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Biblioqrafik təsvir | Alguliyev , R.M. A Fuzzy TOPSIS+ Worst- Case model for personnel evaluation using information culture criteria / R.M. Alguliyev , R.M. Aliguliyev , R.S. Mahmudova // International Journal of Operations Research and Information Systems. - 2016. - N: vol 7, iss 4.- P. 38-66. | Annotasiya | Personnel evaluation process is aimed at choosing the best alternative to fill the defined vacancy
in an organization. It determines the input quality of personnel and thus plays an important role in
human resource management. The multi criteria nature and the presence of qualitative factors make
it considerably more complex. This paper proposes a hybrid fuzzy MCDM model for personnel
evaluation. It combines the fuzzy TOPSIS method with fuzzy worst-case (or entropy) method for
linguistic reasoning under group decision making. Fuzzy worst-case and entropy methods are used
to get weights of criteria, while fuzzy TOPSIS is utilized to rank the alternatives. The weights
obtained from fuzzy worst-case and entropy methods are included in fuzzy TOPSIS computations
and the alternatives are evaluated. The fuzzy MCDM for group decision making enables to aggregate
subjective assessments of the decision-makers and thus offer an opportunity to perform more robust
personnel evaluation procedures. To evaluate the alternatives the authors have formed an executive
group consisting of five decision-makers. For evaluation the group has decided to consider five
information culture criteria expressed in linguistic variables. A numerical example demonstrated the
possibilities of application of the proposed method. | Elektron variant | Elektron variant |
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