University of Tehran Journal of Sciences, Islamic Republic of Iran 1016-1104 30 1 2019 01 26 Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market 77 86 69634 10.22059/jsciences.2019.69634 EN Veronica Ijebusomma Osubor Department of Computer Science, Faculty of Physical Sciences, University of Benin, Benin City. NIGERIA Francis Imouokhome Department of Computer Science, Faculty of Physical Sciences, University of Benin, Benin City. NIGERIA Joy Okoh Department of Computer Science, Faculty of Physical Sciences, University of Benin, Benin City. NIGERIA Journal Article 2017 10 18 <span>This paper presents a Genetic Algorithm Fuzzy Data Envelopment Analysis (GA-FDEA) 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.</span> https://jsciences.ut.ac.ir/article_69634_a0b5de6443e93acf740bd638decb7dbc.pdf