Name
Title | ||
|---|---|---|
An intelligent quality-based fusion method for complex-valued distributions using POWA operator |
Abstract | ||
|---|---|---|
Information quality (IQ) is a significant index in information processing, e.g. multiple information fusion. An extended method considering the IQ has been investigated using the multi-complex-valued information. However, how to fuse the multiple complex-valued distributions (CvDs) with correlation and preference of decision-maker may be a fantastic issue. In this paper, we propose a new method using the power ordered weighted average (POWA) operator to integrate multi-complex-valued distributions considering the information correlation and preference of decision-maker. The proposed method is an extension of the previous work. Some examples and applications are used to illustrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.engappai.2021.104618 | Engineering Applications of Artificial Intelligence |
Keywords | DocType | Volume |
Complex information fusion,POWA operator,Information quality,Uncertainty,Decision-making | Journal | 109 |
ISSN | Citations | PageRank |
0952-1976 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanan Li | 1 | 0 | 0.34 |
| Ruonan Zhu | 2 | 0 | 0.34 |
| Xiangjun Mi | 3 | 6 | 3.44 |
| Bingyi Kang | 4 | 0 | 0.34 |