Abstract
The multiple attribute decision making (MADM) is a one of most crucial topic in decision making and computer science. The key technology for MADM is to learn the correlation between different attributes, and the graph model is an appropriate tool to analyze it. In this work, the MADM problem is formulated in the bipolar picture fuzzy graph framework, and decision making algorithms are designed to characterize the relationships among attributes. The numerical example is introduced in this paper to show how to handle the MADM problem in terms of bipolar picture graph model.
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Acknowledgements
This work is supported by 2021 Guangdong Basic and Applied Basic Youth Fund Project (No. 2021A1515110834), Guangdong University of Science and Technology University Major Scientific Research Achievement Cultivation Program Project 2020 (No. GKY-2020CQPY-2), Characteristic Innovation Project of Universities in Guangdong Province in 2022, and Guangdong Provincial Department of Education Project (No. 2020KTSCX166).
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Gong, S., Hua, G. (2023). Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach–Part I. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_13
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DOI: https://doi.org/10.1007/978-3-031-20099-1_13
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