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Information Journal Paper

Title

Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market

Pages

  77-86

Abstract

 This paper presents a Genetic Algorithm Fuzzy Data Envelopment Analysis (GAFDEA) model that caters for optimal selecting of economic indicators for the measurement of relative productivity and performance of financial institutions. Imprecise or uncertain data of financial institutions due to varying monetary policies and market risk were retrieved from Nigeria Stock Exchange Commission and evaluated. It was observed that GA-FDEA provides better results than the conventional DEA. The findings provide economic barometers for ascertaining the viability of these institutions toward bringing the expected growth of these institutions and the nation at large.

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    • Cite

    APA: Copy

    Osubor, v.i., Imouokhome, f.a., & Okoh, j.. (2019). Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 30(1), 77-86. SID. https://sid.ir/paper/718318/en

    Vancouver: Copy

    Osubor v.i., Imouokhome f.a., Okoh j.. Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2019;30(1):77-86. Available from: https://sid.ir/paper/718318/en

    IEEE: Copy

    v.i. Osubor, f.a. Imouokhome, and j. Okoh, “Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 30, no. 1, pp. 77–86, 2019, [Online]. Available: https://sid.ir/paper/718318/en

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