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Int. J. Environ. Res. Public Health 2016, 13(9), 896; doi:10.3390/ijerph13090896

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

1
School of Business, Jiangnan University, Wuxi 214122, China
2
School of Information, Zhejiang University of Finance & Economics, Hangzhou 310018, China
3
Odette School of Business, University of Windsor, Windsor, ON N9B 3P4, Canada
4
College of Economics and Management, Fuzhou University, Fuzhou 350116, China
*
Author to whom correspondence should be addressed.
Academic Editors: Jason K. Levy and Peiyong Yu
Received: 29 July 2016 / Revised: 31 August 2016 / Accepted: 5 September 2016 / Published: 9 September 2016
(This article belongs to the Special Issue Ecological Economics, Environmental Health Policy and Climate Change)
View Full-Text   |   Download PDF [743 KB, uploaded 9 September 2016]   |  

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. View Full-Text
Keywords: medical waste disposal; multicriteria decision making; intuitionistic fuzzy values; operational laws; aggregation medical waste disposal; multicriteria decision making; intuitionistic fuzzy values; operational laws; aggregation
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MDPI and ACS Style

Qian, W.; Wang, Z.-J.; Li, K.W. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations. Int. J. Environ. Res. Public Health 2016, 13, 896.

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