Abstract
Choosing the correct location for a construction project is a crucial decision in the practice of civil engineering; in fact, knowledge of the economic potential of available locations can orient the analyst in the decision analysis process to optimise her/his resources, aiming for a profit that overcomes the cost of construction. In this context, PROMETHEE IV and its kernel density estimator can help the analyst through her/his decision analysis process in what is known as decision-making for civil engineering. In this chapter, we present how PROMETHEE IV and the kernel density estimator (KDE) could be used to choose available locations for construction, aiming to choose the best locations and to avoid the worst. In addition, an application using Columbus data from Anselin (1988) is also presented.
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Albuquerque, P.H.M. (2015). PROMETHEE IV as a Decision Analyst’s Tool for Site Selection in Civil Engineering. In: Guarnieri, P. (eds) Decision Models in Engineering and Management. Decision Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-11949-6_14
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DOI: https://doi.org/10.1007/978-3-319-11949-6_14
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