Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-6/W1, 31-37, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-6-W1/31/2015/
doi:10.5194/isprsarchives-XL-6-W1-31-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 May 2015
MULTI-CRITERIA DECISION-MAKING METHODS AND THEIR APPLICATIONS FOR HUMAN RESOURCES
M. G. D'Urso1 and D. Masi2 1DICeM, Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio, 43 03043 Cassino (Frosinone), Italy
2Via Boschetto, 41 03023 Ceccano (Frosinone), Italy
Keywords: Fuzzy logic, multi-criteria decision-making method, analytic hierarchy process Abstract. Both within the formation field and the labor market Multi-Criteria Decision Methods (MCDM) provide a significant support to the management of human resources in which the best choice among several alternatives can be very complex. This contribution addresses fuzzy logic in multi-criteria decision techniques since they have several applications in the management of human resources with the advantage of ruling out mistakes due to the subjectivity of the person in charge of making a choice. Evaluating educational achievements as well as the professional profile of a technician more suitable for a job in a firm, industry or a professional office are valuable examples of fuzzy logic. For all of the previous issues subjectivity is a fundamental aspect so that fuzzy logic, due to the very meaning of the word fuzzy, should be the preferred choice. However, this is not sufficient to justify its use; fuzzy technique has to make the system of evaluation and choice more effective and objective. The methodological structure of the multi-criteria fuzzy criterion is hierarchic and allows one to select the best alternatives in all those cases in which several alternatives are possible; thus, the optimal choice can be achieved by analyzing the different scopes of each criterion and sub-criterion as well as the relevant weights.
Conference paper (PDF, 1335 KB)


Citation: D'Urso, M. G. and Masi, D.: MULTI-CRITERIA DECISION-MAKING METHODS AND THEIR APPLICATIONS FOR HUMAN RESOURCES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-6/W1, 31-37, doi:10.5194/isprsarchives-XL-6-W1-31-2015, 2015.

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