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Título : New methods of investment environments for feasibility analysis projects in uncertain
Autor : Peña Abreu, Marieta
Rodríguez Rodríguez, Carlos Rafael
Piñero Pérez, Pedro Yobanis
García García, Yadira
Palabras clave : GESTION DE PROYECTOS;MODELO;TOMA DE DECISIONES
Fecha de publicación : oct-2021
Editorial : Ediciones Futuro
Resumen : Project feasibility analysis is a key process in organizations to predict the success of projects in the future. This process becomes complex because it involves multiple criteria, which are evaluated in uncertain environments. This paper presents a model to perform the feasibility analysis of investment projects in uncertain environments using soft computing techniques. The model includes technical, economic, social, and commercial criteria and the methods for its calculation. Traditional economic criteria are extended by introducing triangular fuzzy numbers, which provides greater flexibility and certainty in predicting economic feasibility. The 2–tuple linguistic representation model is used in the qualitative evaluation of the criteria and the calculation of the final results. The model output is the feasibility analysis of the projects, integrating the results of all the evaluated criteria without loss of information, which provides greater interpretability for decision making. The case study and experiments conducted demonstrate that the model is applicable in real environments and that its ability to predict feasibility is greater than that of other proposals.
URI : https://repositorio.uci.cu/jspui/handle/123456789/9785
ISSN : 2227.1899
Aparece en las colecciones: UCIENCIA 2021

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