Primary School Selection in India: An Empirical Study using Spherical Fuzzy Analytic Hierarchy Process with MARCOS Method

PRIMARY SCHOOL SELECTION USING SFAHP AND MARCOS METHOD

Authors

  • Mangesh Joshi Ramdeobaba University, Nagpur, Katol Road 440 013, Maharashtra, India

DOI:

https://doi.org/10.56042/jsir.v83i10.5870

Keywords:

Analytic hierarchy process, Fuzzy sets, Multi-criteria decision making, Ranking, Selection

Abstract

Choosing the right primary school is a critical decision impacting a child's educational journey and development. This study aims to provide insights into the factors influencing parents' school selection, benefiting parents, policymakers, and school administrators in aligning education with parental expectations. Utilizing the Spherical Fuzzy Analytic Hierarchy Process (SF–AHP) and the Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method, the study employs mixed–method research, including in–depth interviews and surveys distributed across regions, focusing on 30 randomly selected parents from the Nagpur region. Key findings highlight that Safety and Security, Reputation and Reviews, School Culture, Quality of Curriculum, and Teaching Staff are the primary determinants of school choice. Furthermore, a well–rounded education, incorporating extracurricular activities and parental involvement, also holds significant importance, while student–teacher ratio, transportation facilities, and school timings are of lesser concern. This research offers comprehensive insights into school selection, aiding stakeholders in enhancing India's educational landscape for young learners by considering a broader scope of influencing factors compared to previous studies.

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Published

10-10-2024

Issue

Section

Computer Sciences, Communication and Information Technology

How to Cite

Primary School Selection in India: An Empirical Study using Spherical Fuzzy Analytic Hierarchy Process with MARCOS Method: PRIMARY SCHOOL SELECTION USING SFAHP AND MARCOS METHOD. (2024). Journal of Scientific & Industrial Research (JSIR), 83(10), 1086-1094. https://doi.org/10.56042/jsir.v83i10.5870

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