Abstract
Decision-making processes within companies are increasingly complex. This is due to the fact that the amount of data available and the various variables that should be considered in the decision-making process. In the field of professional education, it is no different, the decision to choose which course should be offered becomes an activity of high complexity because of the various criteria that must be considered for the assertiveness of the offer, such as profitability, client profile, macroeconomic characteristics, program content, characteristics of the locality of the course, among others. Once the scenario is presented, the objective of this work is to propose a model of selection and prioritization of variables for the choice of courses offered in the professional education institution National Commercial Apprenticeship Services through the Multiple Criteria Decision Analysis. We present the context of the decision of the problem and, applying the cognitive mapping, we identify the most relevant criteria to detect which characteristics that most impact in the decision making.
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de Lima Silva Junior, R.F., Pinheiro, P.R. (2019). A Multicriteria Structured Model to Assist the Course Offering Assertiveness. In: Silhavy, R. (eds) Software Engineering and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-319-91186-1_48
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DOI: https://doi.org/10.1007/978-3-319-91186-1_48
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