Measurement and Control of Insolvency and Inefficiency Risks

Authors

  • Pedro Manuel Dominguez Wadel * 1Department of Mathematics Matanzas University, Cuba.

https://doi.org/10.48314/ramd.vi.72

Abstract

Unfortunately, there is currently no mathematician model who give some objective solution of the long-standing problem concerning the measurement and control of insolvency and inefficiency risks that runs a service producing company during a certain period of time. In this paper, we present a
mathematical model, based on the fuzzy sets, which can be applied as a tool capable control and measure the risks of insolvency and inefficiency of a service producing company in a given period of time. Subjclass: Primary 93C42; Secondary 94D05.

Keywords:

Triangular fuzzy numbers, Membership function, Risk of insolvency, Risk of inefficiency

References

  1. [1] S. Asilah and Y. Naimah, Newton-raphson method to solve systems of non-linear equations in VANET performance optimization,

  2. [2] Bulletin of Electrical Engineering and Informatics, (1) 8 (2019), 336-342.

  3. [3] K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Elsevier Science Publications, (20) 1 (1986), 87-96.

  4. [4] S. Banerjee, and T.K. Roy, Arithmetic Operations on Generalized Trapezoidal Fuzzy Number and its Applications, Turkish

  5. [5] Journal of Fuzzy Systems, 3 (2012), 16-44.

  6. [6] B. Bolivar, El método de Newton-Raphson. La alternativa del ingeniero para resolver sistemas de ecuaciones no lineales, Scientia

  7. [7] Et Technica, 27 (2005), 221-224.

  8. [8] W. Charlton, and A. W. Roberts, Optimum chute profiles in gravity flow of granular materials: A discrete segment solution

  9. [9] method, Journal of Engineering for Industry, 97 (1975), 10-13.

  10. [10] P.Domínguez, Análisis financiero de empresas turísticas a través de razoes financieras borrosas, Retos turísticos, (1) 2 (2002),

  11. [11] -35.

  12. [12] C.S. McCahon, and E.S. Lee, Comparing Fuzzy Numbers: The Proportion of the Optimum Method, International Journal of

  13. [13] Approximate, Reasoning 4 (1990), 159-181.

  14. [14] T.Pathinathan, K. Ponnivalavan, and M. Dison, Different Types of Fuzzy Numbers and Certain Properties, J. Computer and

  15. [15] Mathematical Sciences,(11) 6 (2015), 631-651.

  16. [16] C. Remani, Numerical Methods for Solving Systems of Nonlinear Equations, vol. 4301 (2013).

  17. [17] N. Rosillón, and M. Alejandra, Análisis financiero: una herramienta clave para una gestión financiera eficiente, Revista

  18. [18] Venezolana de Gerencia (RVG), (14) 48 (2009), 606-628.

  19. [19] M. Rosser, Basic Mathematics for Economists , Routledge 11, New Fetter Lane, London EC4P 4EE, (2003).

Published

2025-09-21

Issue

Section

Articles

How to Cite

Dominguez Wadel, P. M. . (2025). Measurement and Control of Insolvency and Inefficiency Risks. Risk Assessment and Management Decisions. https://doi.org/10.48314/ramd.vi.72

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