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Software for Teaching: Case PROMETHEE

Software for Teaching: Case PROMETHEE
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Author(s): Kenia C. Da Silva F. (Universidad Metropolitana, Venezuela), Coromoto D. M. Raidi Ch. (Universidad Metropolitana, Venezuela), Gilberto J. Hernández G. (Minimax Consultores, Venezuela), María J. García G. (Minimax Consultores, Venezuela)and José G. Hernández R. (Minimax Consultores, Venezuela)
Copyright: 2023
Pages: 16
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch087

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Abstract

Interactive tools, in English and Spanish, have been produced to facilitate the teaching. One that stands out is the one created to facilitate the teaching of the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE). This article presents some comments on the process of creating this software, and to illustrate it will use the case of PROMETHEE. Hence, the objective of this work is to present the process of creating a teaching tool, specifically that of the PROMETHEE case. The methodology to be used to complete this work is the integrated-adaptable methodology for the development of decision support system.

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