Efficient smart system fuzzy logic model for determining candidates’ performances for university admission in Nigeria

Journal Title: Scientific Journal of Pure and Applied Sciences - Year 2015, Vol 4, Issue 1

Abstract

This paper depicts adaptation of expert systems technology using fuzzy logic to handle qualitative and uncertain facts in the decision making process. Over the years, performance evaluations of students are based on qualitative facts, which are now becoming numerically inestimable as a result of uncertainty factors. Through fuzzy logic the qualitative terms like; low, medium and high; low, moderate and high were numerically weighted during the final decision making on students’ performance. The key parameters were given weights according to their priorities through mapping of numeric results from uncertain knowledge. Mathematical formulae were applied to calculate the numeric results at the final stage. In this way, the developed fuzzy expert system was demonstrated to be an effective tool for evaluating the performances of candidates seeking for admission into Nigeria tertiary institutions. This may also be adopted as a useful tool by stakeholders in government and Industry to predict the standard and long term expectations in the nation-building enterprise.

Authors and Affiliations

P. O. Adebayo*| Federal Polytechnic Nasarawa, Nasarawa State, Nigeria., W. B. Yahya| Department of Statistics, University of Ilorin, P.M.B. 1515, Ilorin, Nigeria., E. E. Akpan| Federal Polytechnic Nasarawa, Nasarawa State, Nigeria., M. K. Garba| Department of Statistics, University of Ilorin, P.M.B. 1515, Ilorin, Nigeria.

Keywords

Related Articles

Electrocatalytic oxidation of ethanol using zeolite modified carbon paste electrode

In this research application of synthesized ZSM-5 zeolite to prepare the modified carbon paste electrodes was studied. To prepare of modified electrode, the nickel ions as mediator for electrochemical oxidation of etha...

Improvisation, an alternative approach to solving the problem of ill-equipped biology and agricultural science laborator

Effective teaching for quality science education can only be achieved through “learning by doing” (practical) in well-equipped laboratory. However, ill-equipped science laboratories have reached an alarming level there...

Model establishments and calibration of degree of saturation influencing the transport of cryptosporidium parvum in late

Calibrating the degree of saturation were to determine the rate at different soil formations, the study were carried out on Lateratic soil, the degree of saturation were found to establish different rate at different...

A comparative study on housing renovation policies in earthquake-prone countries

Givensubstantial contribution of housing inhuman life and geographical position of Iran in Alpine-Himalayancollision belt, it seems urgent to deal with that in case of absence ofreasonable and correct management appro...

Earthquake vulnerability evaluation faizabad district of Kermanshah

This paper as examplehas been studied Faizabad district of Kermanshah and to reach its main purpose, which is reducing the damagecaused by the earthquake on the Faizabad district is been providedand in subsidiary purpo...

Download PDF file
  • EP ID EP424
  • DOI 10.14196/sjpas.v4i1.1803
  • Views 533
  • Downloads 28

How To Cite

P. O. Adebayo*, W. B. Yahya, E. E. Akpan, M. K. Garba (2015). Efficient smart system fuzzy logic model for determining candidates’ performances for university admission in Nigeria. Scientific Journal of Pure and Applied Sciences, 4(1), 16-27. https://europub.co.uk/articles/-A-424