International Journal of Computational Intelligence Systems

Volume 12, Issue 1, November 2018, Pages 318 - 333

Assessment of Healthcare Waste Treatment Alternatives Using an Integrated Decision Support Framework

Authors
Akshay Hinduja*, Manju Pandey
Department of Computer Applications, National Institute of Technology Raipur, G.E. Road, Raipur, Chhattisgarh, India
*

Corresponding author. Email: ahinduja.phd2015.mca@nitrr.ac.in

Received 18 June 2018, Accepted 20 January 2019, Available Online 4 February 2019.
DOI
https://doi.org/10.2991/ijcis.2018.125905685How to use a DOI?
Keywords
Health-care waste management; HCW treatment technology selection; Intuitionistic fuzzy sets; DEMATEL; ANP; AHP
Abstract

Healthcare waste (HCW) management has become a major environmental and public-health concern especially in developing countries, and therefore, it has been receiving increasing attention from both industrial practitioners and researcher in recent years. Selection of the optimal treatment technology for HCW is regarded as an intricate multi-criteria decision-making problem involving conflicting and intertwined qualitative as well as quantitative evaluative criteria. To address this decision problem, we develop an integrated decision support framework based on decision-making trial and evaluation laboratory (DEMATEL), intuitionistic fuzzy ANP, and intuitionistic fuzzy AHP. The DEMATEL method determines the influences of main factors and criteria and produces a network relationship map while the ANP method calculates the degree of interrelationship among evaluative criteria and obtains their relative weights. The AHP method assesses the HCW treatment alternatives over evaluative criteria. The experts’ opinions are collected in form of intuitionistic fuzzy preference relations as they are effective in capturing uncertainty and hesitancy involved in decision-makers’ judgment. We also develop a priority method to derive nonfuzzy weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of optimum HCW treatment technology for Chhattisgarh, India. The analyses of the results indicate that the proposed integrated multi-criteria decision making (MCDM) framework effectively handles the issue of HCW treatment technology selection in uncertain environments.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
318 - 333
Publication Date
2019/02/04
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2018.125905685How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Akshay Hinduja
AU  - Manju Pandey
PY  - 2019
DA  - 2019/02/04
TI  - Assessment of Healthcare Waste Treatment Alternatives Using an Integrated Decision Support Framework
JO  - International Journal of Computational Intelligence Systems
SP  - 318
EP  - 333
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.125905685
DO  - https://doi.org/10.2991/ijcis.2018.125905685
ID  - Hinduja2019
ER  -