Abstract
In this paper, we propose the use of decision rules to aid in the recommendation of a portfolio of public projects. A decision table indicates what decisions should be made when the condition attributes are satisfied. Projects can be modeled as decision tables, where the characteristics of the projects are condition attributes and the qualification of each project is the decision attribute. Reducing the decision rules, we can give a simple explanation of why a certain project has its qualification; this simplification is a useful procedure because most decision problems can be formulated in a decision table. Public portfolio problem, due to its nature, has been approached by multi-criteria algorithms, which generate a set of solutions in the Pareto frontier. The selection of a portfolio depends on the decision maker, so the simplified decision rules can help him/her to analyze why a project have been added to a certain portfolio and justify the final selection.
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This work was partially financed by CONACYT, COTACYT, DGEST, TECNM, and ITCM.
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Cruz-Reyes, L., Trejo, C.M., Irrarragorri, F.L., Gómez Santillan, C.G. (2015). Simplification of Decision Rules for Recommendation of Projects in a Public Project Portfolio. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_31
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DOI: https://doi.org/10.1007/978-3-319-17747-2_31
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