Name
Title | ||
|---|---|---|
An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s13042-018-0830-9 | International Journal of Machine Learning and Cybernetics |
Keywords | Field | DocType |
Probabilistic-based expressions, Probabilistic linguistic term sets, Distribution assessment, Probabilistic hesitant fuzzy sets, Ordinal information | Expression (mathematics),Computer science,Artificial intelligence,Probabilistic logic,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 6 | 1868-808X |
Citations | PageRank | References |
0 | 0.34 | 61 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeshui Xu | 1 | 14310 | 599.02 |
| Zeshui Xu | 2 | 5 | 0.73 |
| Yue He | 3 | 105 | 16.62 |
| Xizhao Wang | 4 | 12 | 3.30 |