A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach
- Title
- A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach
- Creator
- Geetha S.; Narayanamoorthy S.; Kang D.; Kureethara J.V.
- Description
- Waste produced from medical facilities systems incorporates a blend of dangerous waste which can posture dangers to humans and ecological receptors. Lacking administration of healthcare waste can prompt hazard to medicinal service specialists, patients, public health, communities and the wider environment. Hence, proper management of healthcare waste is imperative to reduce the associated health and environment risk. In this paper, we extend the MULTIMOORA decision making method with intuitionistic hesitant fuzzy set to evaluate the healthcare waste treatment methods. Intuitionistic hesitant fuzzy set is a generalized form of a hesitant fuzzy set. Intuitionistic hesitant fuzzy set considers the uncertainty of data in a single framework and take more information into account. The MULTIMOORA method consists of three parts namely the ratio system, reference point approach and the full multiplicative form. In the optimal ranking methods, the IHF-MULTIMOORA method is uncomplicated it is able to be used practically with high dimension intuitionistic hesitant fuzzy sets. For pathological, pharmaceutical, sharp, solid and chemical wastes, the preferred waste disposal methods are deep burial, incineration, autoclave, deep burial, and chemical disinfection, respectively. 2013 IEEE.
- Source
- IEEE Access, Vol-7, pp. 130283-130299.
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- decision making; Healthcare waste management; hesitant fuzzy; intuitionistic fuzzy set; MCDM; MULTIMOORA
- Coverage
- Geetha S., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Narayanamoorthy S., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Kang D., Department of Industrial and Management Engineering, Inje University, Gimhae, 50834, South Korea; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 21693536
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Geetha S.; Narayanamoorthy S.; Kang D.; Kureethara J.V., “A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/16760.