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Probabilistic linguistic WASPAS method for patients’ prioritization by developing prioritized Maclaurin symmetric mean aggregation operators

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Abstract

Due to the fuzziness of healthcare, the probabilistic linguistic term set (PLTS) is the appropriate technique to assist health experts express their evaluations in the patient prioritization problem. This paper proposes a new method based on the integration of prioritized averaging (PA) and Maclaurin symmetric mean (MSM) operator within the probabilistic linguistic environment. According to the prioritization relationship of the experts and the criteria set, we employ the PA to define the priority degrees. Keeping to the merits of the PA and MSM operators, we develop some novel aggregation operators for probabilistic linguistic information. Particularly, we develop the probabilistic linguistic prioritized Maclaurin symmetric mean (PLPMSM) and probabilistic linguistic prioritized dual Maclaurin symmetric mean (PLPDMSM) operators. Some accompanying properties and useful remarks of these operators are examined. Moreover, we formulate a new ranking procedure for probabilistic linguistic multi-criteria group decision making (PLMCGDM) based on the extended WASPAS method. A patients’ prioritization problem is analyzed to depict the usefulness and robustness of the proposed method.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China (No. 72071030), the National Key R&D Program of China (No. 2020YFB1711900), the Planning Fund for the Humanities and Social Sciences of Ministry of Education of China (No. 19YJA630042) and the Social Science Planning Project of the Sichuan Province (No. SC20C007).

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Authors and Affiliations

  1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Adjei Peter Darko & Decui Liang

  2. Center for West African Studies, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Adjei Peter Darko & Decui Liang

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  1. Adjei Peter Darko
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  2. Decui Liang
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Correspondence to Decui Liang.

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Darko, A.P., Liang, D. Probabilistic linguistic WASPAS method for patients’ prioritization by developing prioritized Maclaurin symmetric mean aggregation operators. Appl Intell 52, 9537–9555 (2022). https://doi.org/10.1007/s10489-021-02807-3

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