A Physarum-inspired algorithm for logistics optimization: From the perspective of effective distance

Chu, Dong; Wahab, MA; Yang, Zhenlin; Li, Jingyu; Deng, Yong; Cheong, Kang Hao

doi:10.1016/j.swevo.2021.100890

Cited by 8 publications

(1 citation statement)

References 49 publications

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“…According to the measurement of uncertain information, many methods are used to identify the target and achieve the desired effect, such as evidential reasoning, 24 information fusion, 25 multidata fusion, 26,27 and so on. [28][29][30][31] Moreover, these methods have been widely used in various tasks, such as group decision-making (multiple attribute decision making-MADM), [32][33][34] reliability optimization, 35 medical system, 36,37 decision making, [38][39][40] fault diagnosis, [41][42][43] engineering system, 44 risk analysis, 45,46 and so on. [47][48][49][50] Regarding the processing of uncertain information, the most representative one is the D-S evidence theory.…”

Section: Introductionmentioning

confidence: 99%

Complex belief interval‐based distance measure with its application in pattern recognition

Zhang

Xiao

2022

Int J of Intelligent Sys

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The complex evidence theory is an effective methodology for multiattribute decision-making. Since difference measure between multiattribute plays an important role for conflict management in the process of multiattribute decision-making, how to measure discrepancy between complex basic belief assignments (CBBAs) in complex evidence theory is still an open issue. In this context, a new distance measurement (complex belief distance-CBD) is proposed in this paper by taking advantages of complex belief function and complex plausibility function, called complex belief interval-based distance. In addition, we compare the proposed CBD with the related work to illustrate its superiority. Next, based on CBD, we devise a novel multiattribute decision-making algorithm for pattern recognition. Finally, we apply the method to problems of medical diagnosis to verify the effectiveness of the proposed method.

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