Neutrosophic fuzzy decision-making framework for site selection

Authors

  • Aditi Biswas Department of Basic Science and Humanities, Greater Kolkata College of Engineering & Management, West Bengal, India
  • Kamal Hossain Gazi Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, India
  • Prodip Bhaduri Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, India
  • Sankar Prasad Mondal Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, India

DOI:

https://doi.org/10.31181/jdaic10004122024b

Keywords:

Canteen site selection, Educational institute, Triangular neutrosophic number, CRITIC, COPRAS

Abstract

These days, the area of interest based on canteen location selection in the university campus is a prominent topic. This research work directly affects students' convenience, accessibility and the total campus experience. An ideal canteen site not only provides good food to the students and staff but also takes care of their health by providing a healthy environment. In this paper, we choose various criteria and sub-criteria to calculate the best site for a canteen in the university campus. Location, space and layout, infrastructure and Utilities, safety and compliance and environmental factors as criteria with their corresponding sub-criteria are chosen for this work. Here, the data sets used are provided by decision makers in linguistic words and then converted into crisp numbers. The criteria and sub-criteria weights are considered by a popular multi criteria decision-making (MCDM) method named Criteria Importance Through Intercriteria Correlation, i.e., CRITIC method. Therefore, the ideal location for the canteen in the university campus was determined by applying the complex proportional assessment method (COPRAS), which is basically a ranking method of MCDM. And finally, sensitivity analysis was conducted to make sure the outcomes were flexible and stable.

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Published

04.12.2024

How to Cite

Biswas, A., Gazi, K. H., Bhaduri, P., & Mondal, S. P. (2024). Neutrosophic fuzzy decision-making framework for site selection. Journal of Decision Analytics and Intelligent Computing, 4(1), 187–215. https://doi.org/10.31181/jdaic10004122024b