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Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations

Author

Listed:
  • Wuyong Qian

    (School of Business, Jiangnan University, Wuxi 214122, China)

  • Zhou-Jing Wang

    (School of Information, Zhejiang University of Finance & Economics, Hangzhou 310018, China)

  • Kevin W. Li

    (Odette School of Business, University of Windsor, Windsor, ON N9B 3P4, Canada
    College of Economics and Management, Fuzhou University, Fuzhou 350116, China)

Abstract

Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical multicriteria decision model to address medical waste disposal method selection (MWDMS), where disposal methods are assessed against different criteria as intuitionistic fuzzy preference relations and criteria weights are furnished as real values. This paper first introduces new operations for a special class of intuitionistic fuzzy values, whose membership and non-membership information is cross ratio based ]0, 1[-values. New score and accuracy functions are defined in order to develop a comparison approach for ]0, 1[-valued intuitionistic fuzzy numbers. A weighted geometric operator is then put forward to aggregate a collection of ]0, 1[-valued intuitionistic fuzzy values. Similar to Saaty’s 1–9 scale, this paper proposes a cross-ratio-based bipolar 0.1–0.9 scale to characterize pairwise comparison results. Subsequently, a two-level hierarchical structure is formulated to handle multicriteria decision problems with intuitionistic preference relations. Finally, the proposed decision framework is applied to MWDMS to illustrate its feasibility and effectiveness.

Suggested Citation

  • Wuyong Qian & Zhou-Jing Wang & Kevin W. Li, 2016. "Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations," IJERPH, MDPI, vol. 13(9), pages 1-13, September.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:896-:d:77905
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    References listed on IDEAS

    as
    1. Chao Lu & Jian-Xin You & Hu-Chen Liu & Ping Li, 2016. "Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method," IJERPH, MDPI, vol. 13(6), pages 1-16, June.
    2. Brunelli, Matteo & Fedrizzi, Michele, 2015. "Boundary properties of the inconsistency of pairwise comparisons in group decisions," European Journal of Operational Research, Elsevier, vol. 240(3), pages 765-773.
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    Cited by:

    1. Xiao Tan & Zaiwu Gong & Minji Huang & Zhou-Jing Wang, 2017. "Selecting Cooking Methods to Decrease Persistent Organic Pollutant Concentrations in Food of Animal Origin Using a Consensus Decision-Making Model," IJERPH, MDPI, vol. 14(2), pages 1-18, February.
    2. Konstantinos Kokkinos & Evangelia Lakioti & Konstantinos Moustakas & Constantinos Tsanaktsidis & Vayos Karayannis, 2023. "Sustainable Medical Waste Management Using an Intuitionistic Fuzzy-Based Decision Support System," Sustainability, MDPI, vol. 16(1), pages 1-26, December.
    3. Lihong Wang & Zaiwu Gong, 2017. "Priority of a Hesitant Fuzzy Linguistic Preference Relation with a Normal Distribution in Meteorological Disaster Risk Assessment," IJERPH, MDPI, vol. 14(10), pages 1-16, October.
    4. Zaiwu Gong & Lihong Wang, 2017. "On Consistency Test Method of Expert Opinion in Ecological Security Assessment," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    5. Wendi Chen & Shouzhen Zeng & Erhua Zhang, 2023. "Fermatean Fuzzy IWP-TOPSIS-GRA Multi-Criteria Group Analysis and Its Application to Healthcare Waste Treatment Technology Evaluation," Sustainability, MDPI, vol. 15(7), pages 1-25, March.

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