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An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments

  • Zeshui Xu
  • Yue He
  • Xizhao Wang
Original Article
  • 110 Downloads

Abstract

The rapid development of science and technology brings the complexity and difficulty in decision-making. As a comprehensive tool for information expression, the probabilistic-based expressions can denote the complex information by considering the hesitancy and the accuracy at the same time. Because of the flexibility for expression, the related researches of the probabilistic-based expressions develop at a high rate of speed even though they are not systematical and mature enough. In this paper, we introduce the existing concepts of the probabilistic-based expressions and deeply analyze their developments and compare their similarities and differences. Each kind of concept has its own advantages and limitations, and can be applied for different decision-making environments. Besides, we investigate the research status of the techniques of the probabilistic-based expressions since they are the basis for most decision-making methods. For now, the existing decision-making methods for probabilistic-based expressions can be divided into the multi-attribute decision-making methods and the dynamic decision-making methods. It is worthy to point out that there are still a lot of severe challenges in the development process of probabilistic-based expressions, but their theoretical and applied value deserves to be paid much attention.

Keywords

Probabilistic-based expressions Probabilistic linguistic term sets Distribution assessment Probabilistic hesitant fuzzy sets Ordinal information 

Notes

Acknowledgements

This work was funded by the National Natural Science Foundation of China (nos. 71571123, 71771155).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduChina
  2. 2.School of Computer and SoftwareNanjing University of Information Science and TechnologyNanjingChina
  3. 3.College of Computer Science and Software EngineeringShenzhen UniversityShenzhenChina

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