Adaptation of a Hybrid Fuzzy Time Series Technique for Forecasting Minna-Bida Highway Accident Data

This paper improved the forecasting performance of Fuzzy Time Series (FTS) by incorporating Cat Swarm Optimization Clustering (CSO-C) and Particle Swarm Optimization (PSO) with FTS. In the three stages of FTS, clustering technique (CSO-C) was applied at the first stage (fuzzification) to objectively partition universe of discourse and eliminate the need for defining universe of discourse. At the second stage (determination of fuzzy relation), disambiguated fuzzy relations were obtained using Fuz