Medical waste disposal site selection under uncertainty: An interval-valued neutrosophic CRITIC-MARCOS decision support framework

Authors

  • Yuxu Han
    School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 221116, China
  • Sukumar Letchmunan
    School of Computer Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
  • Wulfran Fendzi Mbasso
    Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India
  • Narinderjit Singh Sawaran Singh
    Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia
  • Zokir Mamadiyarov
    Department of Finance and Tourism, Termez University of Economics and Service, Termez 190111, Uzbekistan;
    Department of Economics, Mamun University, Khiva 220900, Uzbekistan;
    Department of Finance, Alfraganus University, Tashkent 100190, Uzbekistan
  • Aseel Smerat
    Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan
  • Zhe Liu
    Research Fellow, Shinawatra University, Pathum Thani 12160, Thailand;
    Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India;
    Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India

Keywords:

Interval-valued neutrosophic sets, CRITIC, MARCOS, Decision-making, Medical waste disposal

Abstract

With the ongoing expansion of healthcare services, the amount of medical waste (MW) has been rising steadily, placing increasing pressure on environmental systems and public health. Identifying an appropriate disposal site is challenging because it requires balancing multiple, often conflicting criteria under considerable evaluation uncertainty. This paper develops a hybrid decision-making framework in an interval-valued neutrosophic (IVN) environment by integrating criteria importance through intercriteria correlation (CRITIC) with measurement of alternatives and ranking according to compromise solution (MARCOS). Interval-valued neutrosophic sets represent ambiguity, indeterminacy, and hesitation in expert judgments, while CRITIC derives data-driven criterion weights from aggregated expert evaluations by considering post-deneutrosophication dispersion and inter-criterion conflict. The extended MARCOS method prioritizes alternatives using a utility function that incorporates the ideal and anti-ideal solutions. A secondary-data methodological illustration assesses four candidate locations using nineteen social, economic, environmental, infrastructural, and geological criteria. Comparisons with IVN-TOPSIS, IVN-MAIRCA, IVN-EDAS, and IVN-VIKOR show that all five frameworks identify the same first-ranked site, whereas the ordering of the remaining alternatives is method-sensitive. These comparisons are interpreted at the integrated-framework level because the benchmark methods retain their own weighting and ranking mechanisms.

Dimensions

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FIG3

Published

2026-09-24

How to Cite

Medical waste disposal site selection under uncertainty: An interval-valued neutrosophic CRITIC-MARCOS decision support framework. (2026). Journal of the Nigerian Society of Physical Sciences, 8(4), 3644. https://doi.org/10.46481/jnsps.2026.3644

Issue

Volume 8, Issue 4, November 2026 (in progress)

Section

Mathematics & Statistics
Copyright & Licensing

Copyright (c) 2026 Yuxu Han, Sukumar Letchmunan, Wulfran Fendzi Mbasso, Narinderjit Singh Sawaran Singh, Zokir Mamadiyarov, Aseel Smerat, Zhe Liu (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Medical waste disposal site selection under uncertainty: An interval-valued neutrosophic CRITIC-MARCOS decision support framework. (2026). Journal of the Nigerian Society of Physical Sciences, 8(4), 3644. https://doi.org/10.46481/jnsps.2026.3644

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