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Tytuł artykułu

Multicriteria Evaluation of Managerial Competences: An Application of the Dominance Principle and the Rough Set Theory

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study demonstrates an analysis of executives based on their management competences. The aim of the study is to identify those executives that show a greater strategic alignment with the guidelines set by an organization. The analysis is performed using self-evaluation and corporate evaluation by considering each management competence as a criterion. It makes use of the Dominance principle (i.e., the Dominance based Rough Set Approach, denoted here as DRSA). The use of DRSA permits the inference of decision rules and identifies the revisions that violate that principle. The main advantage for an organization from using this procedure (i.e., DRSA and RST) is offering the organizational decision makers a comprehensive analysis of their executives. As a major result, training programs aligned to the expectations and needs of the organization can be developed and implemented.
Rocznik
Strony
157--174
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
  • BNDES; Av. República do Chile, 100, Centro, Rio de Janeiro, CEP 20031-917, RJ, Brazil
  • Ibmec/RJ; Av. Presidente Wilson, 118, Centro, Rio de Janeiro, CEP 20030-020, RJ, Brazil
Bibliografia
  • [1] Blaszczynski J., Greco S., Slowinski R., Multi-criteria classification - a new scheme for application of dominance-based decision rules, European Journal of Operational Research, 181, 2007, 1030-1044.
  • [2] Blaszczynski J., Slowinski R., Szelag M., Sequential covering rule induction algorithm for variable consistency rough set approaches, Information Sciences, 181, 5, 2011, 987-1002.
  • [3] Blaszczynski J., Slowinski R., Szelag M., VC-DomLEM: rule induction algorithm for variable consistency rough set approaches, Research Report RA-07/09, Poznań University of Technology, 2009.
  • [4] Couto A. B. G., Gomes L. F. A. M., Human resources decision-making with replicated and inconsistent data: an application of the rough sets theory [in Portuguese], Pesquisa Operacional, 30, 3, 2010, 657-686.
  • [5] Gomes L. F. A. M., Gomes C. F. S., Tomada de decisão gerencial: enfoque multicritério [Management decision-making: multicriterion approach], 4. ed. São Paulo: Atlas, 2012.
  • [6] Greco S., Matarazzo B., Slowinski R., Stefanowski J., An algorithm for induction of decision rules consistent with dominance principle, in: Ziarko, W., Yao, Y. (Eds.), Rough Sets and Current Trends in Computing, LNAI 2005, Springer-Verlag, Berlin, 2001, 304-313.
  • [7] Kotlowski W., Slowinski R., On nonparametric ordinal classification with monotonicity constraints, IEEE Transactions on Knowledge and Data Engineering, 25, 11, 2013, 2576-2589.
  • [8] Li Y., Chen J., Feng L., Dealing with uncertainty: a survey of theories and practices, IEEE Transactions on Knowledge and Data Engineering, 25, 11, 2013, 2463-2482.
  • [9] Luo G-Z, Yang X-B, Limited dominance-based rough set model and knowledge reductions in incomplete decision system, Journal of Information Science & Engineering, 26, 6, 2010, 2199.
  • [10] Maji P., Paul S., Rough-fuzzy clustering for grouping functionally similar genes from microarray data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10, 2, 2013, 286-299.
  • [11] Moura M.C.C., Bitencourt C.C., The articulation between strategy and the development of managerial competences [in Portuguese], RAE-eletrônica, 2006, 5, 1, 3.
  • [12] Pawlak Z., Rough sets. Theoretical aspects of reasoning about data. Kluwer Academic Publishers, Dordrecht. 1991.
  • [13] Pawlak Z., Rough sets and decision analysis, Information Systems & Operational Research, 38, 3, 2000, 132-144.
  • [14] Pawlak Z., Slowinski R., Rough set approach to multi-attribute decision analysis, European Journal of Operational Research, Invited Review, 72, 1994, 443-459.
  • [15] Pawlak Z., Grzymala-Busse J., Slowinski R., Ziarko W., Rough sets, Communications of the ACM, 38, 11, 1995, 89-95.
  • [16] Roy B., Slowinski R., Questions guiding the choice of a multicriteria decision aiding Method, Euro Journal on Decision Processes, 2013.
  • [17] Slowinski R., Greco S., Matarazzo B., Rough set and rule-based multicriteria decision aiding, Pesquisa Operacional, 32, 2, 2012, 213-269.
  • [18] Zadeh L. A., Fuzzy sets, Information and Control, 8, 1965, 338-353.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3ad51671-25c9-4ee7-ad32-7b87d30f75c8
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