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Design and Implementation of Deep Learning Real-Time Streaming Video Data Processing System Read chapter Read first chapter

2023 | OriginalPaper | Chapter

A Decision-Making Method for Blockchain Platforms Using Axiomatic Design

Authors : Jun Liu, Qi Zhang, Ming-Yue Xie, Ming-Peng Chen

Published in: Smart Computing and Communication

Publisher: Springer Nature Switzerland

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Abstract

For companies using blockchain technology, it is critical to select the most suitable blockchain platform to develop enterprise applications. However, it is still a challenge for enterprises. As an important part of modern decision science, multi-criteria decision-making can well solve the problem of blockchain platform selection. Blockchain platforms integrate various blockchain technologies, and enterprises also need to consider multiple different criteria in the decision-making process. Therefore, this paper will use a heterogeneous multi-criteria decision-making method to solve the blockchain platform selection problem. First, the blockchain platform alternatives and evaluation criteria used for decision-making are identified. Second, blockchain platform alternatives are evaluated with appropriate fuzzy numbers based on defined evaluation criteria. Then, the original evaluations are consistency and normalized to obtain a normalized evaluation. Next, the improved information content formulas of the axiomatic design is proposed to obtain the information content of each normalized evaluation. Then, the weights of all evaluated criteria are obtained using the entropy weight method. Finally, the total weighted information content of each blockchain platform alternative is obtained. With validation, the decision-making model of blockchain platform proposed in this paper has a strong reference value.

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Metadata
Title
A Decision-Making Method for Blockchain Platforms Using Axiomatic Design
Authors
Jun Liu
Qi Zhang
Ming-Yue Xie
Ming-Peng Chen
Copyright Year
2023
Book
Smart Computing and Communication

Print ISBN: 978-3-031-28123-5

Electronic ISBN: 978-3-031-28124-2

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-28124-2_29

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