.png){kind=icon}
返回
A lower approximation based integrated decision analysis framework for a blockchain-based supply chain
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2023.109092.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Organizations and their supply chains generate vast amounts of structured and unstructured data, popularly known as Big Data. This paper proposes a framework in the prescriptive analytics category of big data analytics (BDA) and is especially relevant for organizations on a permissioned blockchain network. The framework in-tegrates the concepts of Artificial intelligence (Case-based reasoning, Interval-valued rough fuzzy set theory, and Value closeness relation algorithm) and blockchain to help decision-makers make accountable and conformable decisions. The framework comprises five stages -the first three stages generate the decisions, while the last two stages enable validation and communication of decisions. Its application is demonstrated on an organizational dataset with 20 supply chain KPIs. The numerical example shows how the organization's business strategy can translate to framework parameters resulting in varying outputs. The proposed framework is compared with the rough set approach through sensitivity analysis, highlighting the differences. The concept of L-Graphs is pro-posed to facilitate the visual display of prescribing decisions, which can help decision-makers make optimal decision choices. The framework has several unique features: (i) it is one of the first decision-making frameworks proposed for a blockchain-based supply chain that can be a part of the BDA toolbox of an organization; (ii) it uses concepts of artificial intelligence; (iii) the optimal decisions are proposed based on analysis of multicriteria; (iv) it uses multiple approaches to validate the decision rules on blockchain.
Keyword:
Decision support systems
Blockchain
Supply chain management
Interval-valued rough fuzzy set theory
Big data analytics
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
引用论文
Part III: Wider Social Impacts: 10. Assessing the “Wider” Social Impacts of Microfinance Services:Concepts, Methods, Findings.png)
IDS Bulletin
IDS BulletinIF0
PREAI
分享收藏Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source dataLAND USE POLICY
LAND USE POLICYIF5.9
PREAI
分享收藏分享收藏
查看更多内容