A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA. (1st December 2020)
- Record Type:
- Journal Article
- Title:
- A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA. (1st December 2020)
- Main Title:
- A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA
- Authors:
- Narayanamoorthy, S.
Annapoorani, V.
Kang, Daekook
Baleanu, Dumitru
Jeon, Jeonghwan
Kureethara, Joseph Varghese
Ramya, L. - Abstract:
- Abstract: Bio-medical waste (BMW) management is highly important precaution for human health and environmental concern. There are several disposal treatment followed by medical practitioners in medical waste management. Here, a few disposal treatment is considered to be an alternatives. When assessing, it is necessary to evaluate and assume that all disposal treatment methods are safe and hygienic. In this way, every alternative assessment is evaluated based on the social acceptance, technology and operation, environmental protection, cost, noise and health risk. Finally the best alternative is chosen. When BMW is disposed and we select the best treatment method in BMW management, it can lead to multi-criteria decision making (MCDM) processes related to uncertain critical assessments. When making a decision, the decision makers having some hesitation to give their suggestions. Therefore, here we use hesitant MCDM method. In today's practice we have choose five methods of BMW disposal methods used in the medical world and we have its alternatives. One of these alternative is sorted by six criteria weights for selecting the best method. The main aim of this research paper is propose a new methodology of hesitant fuzzy weight finding technique, it is named as Hesitant Fuzzy Subjective and Objective Weight Integrated Approach (HF-SOWIA) and also propose a new hesitant fuzzy rank finding methodology, it is named as Hesitant Fuzzy Multi-Objective Optimization on the basis ofAbstract: Bio-medical waste (BMW) management is highly important precaution for human health and environmental concern. There are several disposal treatment followed by medical practitioners in medical waste management. Here, a few disposal treatment is considered to be an alternatives. When assessing, it is necessary to evaluate and assume that all disposal treatment methods are safe and hygienic. In this way, every alternative assessment is evaluated based on the social acceptance, technology and operation, environmental protection, cost, noise and health risk. Finally the best alternative is chosen. When BMW is disposed and we select the best treatment method in BMW management, it can lead to multi-criteria decision making (MCDM) processes related to uncertain critical assessments. When making a decision, the decision makers having some hesitation to give their suggestions. Therefore, here we use hesitant MCDM method. In today's practice we have choose five methods of BMW disposal methods used in the medical world and we have its alternatives. One of these alternative is sorted by six criteria weights for selecting the best method. The main aim of this research paper is propose a new methodology of hesitant fuzzy weight finding technique, it is named as Hesitant Fuzzy Subjective and Objective Weight Integrated Approach (HF-SOWIA) and also propose a new hesitant fuzzy rank finding methodology, it is named as Hesitant Fuzzy Multi-Objective Optimization on the basis of Simple Ratio Analysis (HF-MOOSRA). After evaluation, the result shows that autoclaving is the best alternative for BMW disposal treatment methods. Furthermore, sensitivity analysis is make in order to observe the difference of alternative ranking when the importance of subjective and objective weights changes. Highlights: A new novel approach of waste disposal for bio-medical waste was proposed. A modified and efficient weighting technique is presented. We proposed a new extension named as hesitant fuzzy SOWIA and hesitant fuzzy MOOSRA. Our results are validated with hesitant fuzzy multi criteria-decision making methods. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 275(2020)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 275(2020)
- Issue Display:
- Volume 275, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 275
- Issue:
- 2020
- Issue Sort Value:
- 2020-0275-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-01
- Subjects:
- Waste management -- Bio-medical waste -- Multi-criteria decision making -- Multi-objective optimization on the basis of simple ratio analysis -- Criteria importance through inter criteria correlation -- Subjective and objective weight integrated approach
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2020.122587 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14593.xml