期刊
COMPUTERS
卷 10, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/computers10100120
关键词
blockchain; agriculture 4.0; multi-criteria decision-making; smart contracts; fuzzy sets; internet of things; big data
资金
- National Research Programme Smart Crop Production [866/26.11.2020]
- Ministry of Education and Science [KP-06-PN36/2]
- Digitization of the Economy in Big Data Environment of the National Science Fund - European Regional Development Fund
This study proposes a conceptual framework for selecting blockchain software based on group multi-criteria in a fuzzy environment according to organizational needs and expert judgments. The applicability of the framework was verified through an illustrative example and its robustness was proven through sensitivity analysis.
Increased consumer requirements for quality, safety and traceability of goods in supply chains has accelerated the implementation of blockchain during the COVID-19 pandemic. The right choice of blockchain software is a complicated task and an important prerequisite for successful deployment. In this study, we propose a conceptual framework for group multi-criteria selection of blockchain software in fuzzy environment according to organization needs and experts' judgements. The applicability of the new framework has been verified through an illustrative example for ranking blockchain systems. The evaluations of compared alternatives were calculated by using measurement of alternatives and ranking according to the compromise solution (MARCOS) method. The robustness of the new framework was proven by sensitivity analysis in which two (crisp and fuzzy) MARCOS models with two different sets of weighting coefficients were compared.
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