| Title |
An Evidence-Based CoCoSo Framework with Double Hierarchy Linguistic Data for Viable Selection of Hydrogen Storage Methods |
| ID_Doc |
22316 |
| Authors |
Krishankumar, R; Sundararajan, D; Ravichandran, KS; Zavadskas, EK |
| Title |
An Evidence-Based CoCoSo Framework with Double Hierarchy Linguistic Data for Viable Selection of Hydrogen Storage Methods |
| Year |
2024 |
| Published |
Cmes-Computer Modeling In Engineering & Sciences, 138.0, 3 |
| DOI |
10.32604/cmes.2023.029438 |
| Abstract |
Hydrogen is the new age alternative energy source to combat energy demand and climate change. Storage of hydrogen is vital for a nation's growth. Works of literature provide different methods for storing the produced hydrogen, and the rational selection of a viable method is crucial for promoting sustainability and green practices. Typically, hydrogen storage is associated with diverse sustainable and circular economy (SCE) criteria. As a result, the authors consider the situation a multi-criteria decision-making (MCDM) problem. Studies infer that previous models for hydrogen storage method (HSM) selection (i) do not consider preferences in the natural language form; (ii) weights of experts are not methodically determined; (iii) hesitation of experts during criteria weight assessment is not effectively explored; and (iv) three-stage solution of a suitable selection of HSM is unexplored. Driven by these gaps, in this paper, authors put forward a new integrated framework, which considers double hierarchy linguistic information for rating, criteria importance through inter-criteria correlation (CRITIC) for expert weight calculation, evidence-based Bayesian method for criteria weight estimation, and combined compromise solution (CoCoSo) for ranking HSMs. The applicability of the developed framework is testified by using a case example of HSM selection in India. Sensitivity and comparative analysis reveal the merits and limitations of the developed framework. |
| Author Keywords |
Hydrogen storage methods; double hierarchy hesitant fuzzy linguistic term set; evidence theory; CoCoSo method; sustainability; circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001113933200001 |
| WoS Category |
Engineering, Multidisciplinary; Mathematics, Interdisciplinary Applications |
| Research Area |
Engineering; Mathematics |
| PDF |
https://www.techscience.com/CMES/online/detail/19553/pdf
|