Every country worldwide requires a dependable electricity supply in order to advance technologically, socially, and economically. Modernization and development cannot occur without a dependable electric power supply under any circumstances. The frequent and prolonged unplanned power outages in Debre Berhan are causing a serious issue with power interruptions. As a result, utilities need to make a concerted effort to satisfy both regulatory mandates and consumer expectations for dependable service without inflating expenses. This thesis evaluated the current performance of the Debre Berhan electric power distribution system, identified the main causes of interruptions, and implemented reliability enhancement using a neuro-fuzzy algorithm. Neuro-fuzzy technology has been utilized to accurately evaluate the optimal placement of reclosers and tie switches for enhancing reliability. This includes comparing the costs associated with installing the switches and potential interruptions. In order to enhance reliability, a MATLAB interface was used to implement an optimization technique based on neuro-fuzzy algorithms, determining the best number and location of reclosers on a chosen feeder in the distribution system. Enwary Feeder has been chosen as the test feeder out of the nine feeders in the distribution system due to its highest frequency and duration of interruption. This research demonstrates that the reliability of Enwary feeder has greatly increased by utilizing neuro-fuzzy logic for optimal placement of reclosers. ETAP simulation indicates that the proposed method can enhance SAIFI by 79.71%, reducing it from 284.7839 f/yr. to 57.7725 f/yr. Similarly, SAIDI can be enhanced by 80.72%, dropping from 287.3479 hr./yr. to 55.3872 hr./yr. Furthermore, EENS can be improved by 79.96% , decreasing from 5973.493 MWhr/yr. to 1197.741 MWhr/yr. Additionally, ECOST can be enhanced by 88.5%, decreasing from 270,646.10 $/KWhr to 31,287.56 $/KWhr. Key Words: Distribution system reliability can be improved using neuro-fuzzy algorithms and the placement of reclosers with the help of ETAP software.