Fuzzy Logic Applied to Inflation Control in the Nigerian Economy
Ibrahim Goni,
Mohammed Alhaji Maunde Usman,
Auwal Nata’ala
Issue:
Volume 3, Issue 4, December 2018
Pages:
69-72
Received:
9 March 2019
Accepted:
22 April 2019
Published:
23 May 2019
DOI:
10.11648/j.mlr.20180304.11
Downloads:
Views:
Abstract: In this research work, a fuzzy logic system for inflation control in Nigerian economy is presented. The system consists of four (4) major components which include; the Knowledge base, the Fuzzification, the Inference engine and Defuzzification. Knowledge base were developed based on the discussion with the domain expert and observations of the Nigerian economy. Mamdani's fuzzy inference engine were used to infer data from the rules developed. This resulted in the establishment of some degrees of membership functions of input variables on the output. The methodology allows for High, Low, Yes and No to be applied in order to get the required result. Gaussian membership function was employed to evaluate the degree of participation of each input parameter and the defuzzification technique used in this work is Centriod of Area. Fuzzy logic system has been developed as an alternative to the traditional methods, in order to control inflation in the Nigerian economy.
Abstract: In this research work, a fuzzy logic system for inflation control in Nigerian economy is presented. The system consists of four (4) major components which include; the Knowledge base, the Fuzzification, the Inference engine and Defuzzification. Knowledge base were developed based on the discussion with the domain expert and observations of the Nige...
Show More
