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An improved model in fusing multi-source information based on Z-numbers and POWA operator

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Abstract

Information of the real world is often imperfect and partially reliable. Thus, processing the uncertain information is of great importance. Z-number, proposed by Zadeh, is an effective tool to describe the real-world information, which contains both fuzziness and reliability of information. In most decision-making problems, information is usually provided by experts. However, opinions among experts may be conflicting. How to deal with the opinions of multiple experts from an objective point of view, especially when there is a conflict among the opinions of multiple experts, is still an open issue. Therefore, in this paper, an improved model in fusing multi-source information based on Z-numbers and power ordered weighted average (POWA) operator is proposed, considering both the decision makers’ attitude characteristics and the support degree among evidence. The soft likelihood function based on Z-numbers is included in the improved model. A case study in medical diagnosis and some other examples of scenario simulation are used to illustrate the validity and superiority of the proposed model.

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Acknowledgements

The work is partially supported by the Fund of the National Natural Science Foundation of China (Grant No.61903307), China Postdoctoral Science Foundation (Grant No. 2020M683575), Chinese Universities Scientific Fund (Grant No. 2452018066), and the National College Students Innovation and Entrepreneurship Training Program (Grant No. S202010712135, No. 202110712143, No.202110712146).

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Authors and Affiliations

  1. College of Information Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China

    Ruonan Zhu, Yanan Li, Ruolan Cheng & Bingyi Kang

  2. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, 712100, Shaanxi, China

    Bingyi Kang

  3. Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, 712100, Shaanxi, China

    Bingyi Kang

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  1. Ruonan Zhu
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  2. Yanan Li
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  3. Ruolan Cheng
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  4. Bingyi Kang
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Correspondence to Bingyi Kang.

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Communicated by Anibal Tavares de Azevedo.

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Zhu, R., Li, Y., Cheng, R. et al. An improved model in fusing multi-source information based on Z-numbers and POWA operator. Comp. Appl. Math. 41, 16 (2022). https://doi.org/10.1007/s40314-021-01722-0

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  • DOI: https://doi.org/10.1007/s40314-021-01722-0

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