Abstract
There is a growing body of literature that recognises the importance of Z-numbers proposed by Prof Zadeh. However, due to the complicated structure and short presentation time, many unknowns about Z-numbers still exist. To fill these gaps, this study aims to make use of rectangular coordinate system to express linguistic Z-numbers. Simultaneously, this study sets out to design a score function to quantify the information contained in different Z-numbers. Subsequently, distance measure and similarity measure are also presented from the perspective of coordinate system. Besides, linguistic discrete Z-numbers and belief rule base (BRB) model are combined to construct a novel reasoning model on the basis of implication operators. To verify the validity of the proposed method, three representative examples of epidemic level assessment, multicriteria group decision-making (MCGDM), and network security assessment are employed. The comparison with other widely used methods are performed to further demonstrate the superiority of the proposed method.
Original language | English |
---|---|
Pages (from-to) | 1251-1268 |
Number of pages | 18 |
Journal | Journal of Intelligent and Fuzzy Systems |
Volume | 45 |
Issue number | 1 |
DOIs | |
State | Published - 2023 |
Keywords
- distance measure
- Linguistic Z-numbers
- rectangular coordinate system
- score function
- similarity measure