Skip to main content
SpringerLink
Log in

New Methods for Feasibility Analysis of Investment Projects in Uncertain Environments

  • Chapter
  • First Online:
Artificial Intelligence in Project Management and Making Decisions (UCIENCIA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1035))

Included in the following conference series:

  • 792 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Mesároš, P., Mandičák, T., Behúnová, A.: Use of BIM technology and impact on productivity in construction project management. Wirel. Netw. 1–8 (2020)

    Google Scholar 

  2. Pérez, I., Piñero, P.Y., García-Vacacela, R., Bello, R., Santos, O., Vázquez, M.: Extensions to linguistic summaries indicators based on neutrosophic theory, applications in project management decisions. Infinite Study (2018)

    Google Scholar 

  3. Zulueta, Y., Rodríguez, R., Bello, R., Martínez, L.: A hesitant heterogeneous approach for environmental impact significance assessment. J. Environ. Inf. 29(2), 74–87 (2017)

    MATH  Google Scholar 

  4. Soler, J.A., Delgado, F.M., Sanjuán, A.M., García, M.N.: Modelos para evaluar la sostenibilidad de las organizaciones. Estudios Gerenciales 63–73 (2018)

    Google Scholar 

  5. Dave, B., Buda, A., Nurminen, A., Främling, K.: A framework for integrating BIM and IoT through open standards. Autom. Constr. 95, 35–45 (2018)

    Article  Google Scholar 

  6. ICB.: Swiss individual competence baseline: Version 4.0: Beschreibung der individuellen Kompetenz im Management von Programmen gemäss IPMA (2016)

    Google Scholar 

  7. PMI.: The standard for Project Management and a guide to the Project Management Body of Knowledge, 7th Edition. Project Management Institute, ISBN: 978-1-62825-664-2 370 (2021)

    Google Scholar 

  8. SEI.: CMMI for Development v1.3, SEI CMMI Production, CMU/SEI-2010-TR-034, Technical report, Software Engineering Institute (2010)

    Google Scholar 

  9. Zandhuis, A., Stellingwerf, R.: ISO 21500: Guidance on Project Management; a Pocket Guide: Van Haren (2013)

    Google Scholar 

  10. Al–Subhi, S.H., Mahdi, G.S., Alava, M.V., Pérez, M.P., Vázquez, M.L.: Operador media potencia pesada lingüística y su aplicación en la toma de decisiones. Int. J. Innov. Appl. Stud. 22(1), 38–43 (2017)

    Google Scholar 

  11. Zulueta-Veliz, Y., García-Cabrera, L.: A choquet integral–based approach to multiattribute decision–making with correlated periods. Granular Computing 3(3), 245–256 (2018)

    Article  Google Scholar 

  12. Kaufmann, A., Aluja, J.G., Pirla, J.M.: Introducción a la teoría de los subconjuntos borrosos a la gestión de las empresas: Milladoiro (1986)

    Google Scholar 

  13. Felix, G., Nápoles, G., Falcon, R., Froelich, W., Vanhoof, K., Bello, R.: A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3), 1707–1737 (2019)

    Article  Google Scholar 

  14. Cruz, A.D., Hidalgo, K.M., Medina, M.Q.: Evaluación de factibilidad de proyectos de inversión. Revista Caribeña de Ciencias Sociales (2014)

    Google Scholar 

  15. Ochoa, E.A.: Investigación y Desarrollo, un Método Comparativo de su Valuación. Paper presented at the Sixth LACCEI International Latin American and Caribbean Conference for Engineering and Technology Honduras (2008)

    Google Scholar 

  16. Little, I., Mirrlees, J.A., Mirrlees, J.A.: Estudio social del costo beneficio en la industria de países en desarrollomanual de evaluación de proyectos (1973)

    Google Scholar 

  17. ONU.: Manual para la preparación de Estudios de Viabilidad Industrial. Naciones Unidas, Nueva York (1978)

    Google Scholar 

  18. Dubs de Moya, R.: El proyecto factible: una modalidad de investigación. Sapiens. Revista Universitaria de Investigación, 3(2) (2002)

    Google Scholar 

  19. Milanesi, G.S.: Un modelo de opciones reales fuzzy y funciones de utilidad isoelásticas para valorar I&D en mercados incompletos. Estocástica: finanzas y riesgo, 8(2), 205–232 (2018)

    Google Scholar 

  20. Miranda, J.J.: Gestión de proyectos: identificación, formulación, evaluación financiera–económica–social–ambiental: MMEditores (2005)

    Google Scholar 

  21. Pollack., J.F.: Back propagation is sensitive to initial conditions 860–867 (1991)

    Google Scholar 

  22. Rodríguez, T.C., Montibeller, G., Oliveira, M.D., Costa, C.A.: Modelling multicriteria value interactions with reasoning maps. Eur. J. Oper. Res. 258(3), 1054–1071 (2017)

    Article  Google Scholar 

  23. Kengpol, A., O’Brien, C.: The development of a decision support tool for the selection of advanced technology to achieve rapid product development. Int. J. Prod. Econ. 69(2), 177–191 (2001)

    Article  Google Scholar 

  24. Abreu, M.P.: Modelo para el análisis de factibilidad de proyectos de software en entornos de incertidumbre (Tesis doctoral), Universidad de las Ciencias Informáticas. La Habana, Cuba (2017)

    Google Scholar 

  25. Torres, S.: Modelo de evaluación de competencias a partir de evidencias durante la gestión de proyectos (Tesis doctoral), Universidad de las Ciencias Informáticas La Habana, Cuba (2015)

    Google Scholar 

  26. Abreu, M.P., Rodríguez, C.R., García-Vacacela, R., Piñero, P.Y.: Economic feasibility of projects using triangular fuzzy numbers. In IWAIPR 2018, pp. 288–298. Springer, Cham (2018)

    Google Scholar 

  27. Herrera F., Martínez L., Sánchez P.J.: Managing non-homogeneous information in group decision making. Eur. J. Oper. Res. 166(1), 115–132 (2005)

    Article  Google Scholar 

  28. Herrera, F., Martinez, L.: A 2–tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)

    Article  Google Scholar 

  29. Castro, M.D.: Método de evaluación de proyectos para decidir su aceptación. (Maestría) Grupo de Investigaciones en Gestión de Proyectos, Universidad de las Ciencias Informáticas La Habana (2010)

    Google Scholar 

  30. Piñero, P.Y., Pérez, I., Rivero, C., Rojas, C., Sosa, R., Torres, S.: Repositorio de datos para investigaciones en gestión de proyectos. Rev. Cuba. Cienc. Informáticas 13(1), 176–191 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Vicedecanato de Investigación y Posgrado, Facultad 3, Universidad de las Ciencias Informáticas, La Habana, Cuba

    Marieta Peña Abreu, Carlos R. Rodríguez Rodríguez & Yadira García García

  2. Kazan Federal University, Kazan, Tatarstan, Russia

    Carlos R. Rodríguez Rodríguez

  3. Grupo de Investigaciones en Gestión de Proyectos, Universidad de las Ciencias Informáticas, La Habana, Cuba

    Pedro Y. Piñero Pérez

Authors
  1. Marieta Peña Abreu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carlos R. Rodríguez Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pedro Y. Piñero Pérez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yadira García García
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marieta Peña Abreu .

Editor information

Editors and Affiliations

  1. Departamento de Investigaciones en Gestión de Proyectos, Universidad de las Ciencias Informáticas, La Habana, Cuba

    Pedro Y. Piñero Pérez

  2. Centro de Investigaciones de la Informatica, Cuban Sciences Academy, Universidad Central “Marta Abreu” de las Villas, Santa Clara, Cuba

    Rafael E. Bello Pérez

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Peña Abreu, M., Rodríguez Rodríguez, C.R., Piñero Pérez, P.Y., García García, Y. (2022). New Methods for Feasibility Analysis of Investment Projects in Uncertain Environments. In: Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-97269-1_8

Download citation

Publish with us

Policies and ethics

Search

Navigation