Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2069 2019 2019 Faculty of Information Systems and Computer Science, October 6th University, Cairo, Egypt Moahmed Moahmed Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt Moahmed Emad Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt Mahmoud Ismail Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt Heba Rashad Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt Ahmed M. Ali Faculty of Information Systems and Computer Science, October 6th University, Cairo, Egypt Ahmed Abdelhafeez Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt Shimaa S. Mohamed For businesses that depend on reliable and secure IT systems, choosing the best location for a data center is of paramount importance. Data center accessibility, operational efficiency, cost, and security are all affected by their physical location. The procedure entails considering a wide range of elements to guarantee that the final site meets the needs of the business. This paper investigated the multi-criteria decision-making (MCDM) model to select the best data center location based on a set of criteria. The MCDM method is integrated with the single-valued neutrosophic set (SVNS) to deal with vague and inaccurate information. A neutrosophic set with truth, indeterminacy, and falsity membership functions all in the range [0, 1] is called a SVNS. This paper used SVNS with three MCDM methods such as entropy, TOPSIS, and MABAC techniques. The entropy technique is used to compute the weights of criteria, then the TOPSIS and MABAC methods are used to rank the locations. The case study is investigated in Egypt. This paper used ten criteria and eight alternatives. 2023 2023 23 35 10.54216/JISIoT.090202 https://www.americaspg.com/articleinfo/18/show/2069