Journal Article

·2025 OPEN ACCESS

INTEGRATED FUZZY AHP-COPRAS METHOD FOR KINDERGARTEN SELECTION PROBLEM: AN APPLICATION IN SIVAS PROVINCE

Halime Suvay Eker , Gülşah Şahin YTU

Beykoz Akademi Dergisi

Abstract

The roles of women in social life have evolved as a consequence of their involvement in business life. Mothers who do not want to take a break from their working lives for many years register their kids in pre-schools that provide both early childhood education and care. However, deciding which school will be the best for their children among many alternatives becomes difficult for parents as many criteria need to be considered. In this study, the integrated fuzzy AHP-COPRAS approach was applied to select the best kindergarten in Sivas province of Türkiye. A rating scale was presented to 13 parents of children aged 2-6 regarding the criteria they consider when deciding on a kindergarten. Based on the acquired results, it was observed that four criteria—quota, distance, school bus, and medical staff – received a value of 0 and did not participate in the problem. It was determined that 5 criteria, namely remaining fee, teacher, facility, education and food, took the values of 0.03, 0.24, 0.18, 0.43, 0.13, respectively. The computations led to the conclusion that KG4 is the best option. KG1 was determined to be the option that received the lowest score.

Keywords

Analytic hierarchy process Value (mathematics) Scale (ratio) Selection (genetic algorithm) Psychology Medical education Operations management Computer science Medicine Operations research Mathematics Engineering Geography Statistics Artificial intelligence

Subject Areas

Multi-Criteria Decision Making ·Management Science and Operations Research ·Social Sciences
Optimization and Mathematical Programming ·Control and Systems Engineering ·Physical Sciences