This paper defines a complex similarity measure which quantifies the degree of conflict among complex-valued mass functions by measuring the degree of ...
Nov 1, 2023 · The study of complex-valued evidence theory has become an interesting topic, particularly in the context of information fusion techniques.
The simulation experiment results show that the newly proposed method has high efficiency and accuracy in ontology similarity measure and ontology mapping in ...
Nov 3, 2022 · By employing the proposed complex similarity measure, this paper designs a method to combine information from multiple sources and for reducing ...
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A similarity measure of complex-valued evidence theory for multi-source information fusion · Lipeng Pan, Yong Deng, D. Pelusi · Published in Information Sciences ...
A similarity measure of complex-valued evidence theory for multi-source information fusion. https://doi.org/10.1016/j.ins.2023.119416 ·. Journal: Information ...
Therefore, this paper defines a complex similarity measure which quantifies the degree of conflict among complex-valued mass functions by measuring the degree ...
A similarity measure of complex-valued evidence theory for multi-source information fusion. Abstract · Distances in evidence theory: Comprehensive survey and ...
Oct 11, 2024 · In this paper, we first provide a comprehensive review of data fusion methods based on Dempster–Shafer evidence theory and its extensions, ...
Aug 7, 2024 · In some scenarios, complex numbers are often used to represent richer information, which will limit the application of the proposed method.