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A survey on uncertain graph and uncertain network optimization

Author

Listed:
  • Jin Peng

    (Huanggang Normal University)

  • Bo Zhang

    (Zhongnan University of Economics and Law)

  • Lin Chen

    (Wuhan Institute of Technology)

  • Hui Li

    (Hubei University of Education)

Abstract

Uncertainty theory, founded in 2007, has become a branch of mathematics to model uncertainty rather than randomness. As an indispensable part of uncertainty theory, uncertain graph and uncertain network optimization has received the wide attention of many scholars. Naturally, a series of original research achievements have been obtained on uncertain graph and uncertain network optimization. This paper aims to present a state-of-the-art review on the recent advance in uncertain graph and uncertain network optimization. Furthermore, it hopes to predict the possible future research directions. Based on Web of Science database, this paper retrieves 144 related papers from 2011 to 2021 to analyze the features of published articles. More precisely, we analyze the annual number of publications, key topics and sub-fields, journals, and most-cited articles. In addition, the main results and models for uncertain graph and uncertain network optimization are summarized. Furthermore, the limitations of existing literature and the possible development trend are discussed.

Suggested Citation

  • Jin Peng & Bo Zhang & Lin Chen & Hui Li, 2024. "A survey on uncertain graph and uncertain network optimization," Fuzzy Optimization and Decision Making, Springer, vol. 23(1), pages 129-153, March.
    • Handle: RePEc:spr:fuzodm:v:23:y:2024:i:1:d:10.1007_s10700-023-09413-7
    DOI: 10.1007/s10700-023-09413-7
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