An intelligent quality-based fusion method for complex-valued distributions using POWA operator. (March 2022)

• Record Type: Journal Article
• Authors: Li, Yanan; Zhu, Ruonan; Mi, Xiangjun; Kang, Bingyi
• Is Part Of: Engineering applications of artificial intelligence. Volume 109(2022)
• Publication Date: 2022-03
• Subjects: Complex information fusion -- POWA operator -- Information quality -- Uncertainty -- Decision-making; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2021.104618
• Languages: English
• ISSNs: 0952-1976

Abstract

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.