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Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis

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Abstract

Liver diseases have emerged as a growing concern in modern times, encompassing various disorders that can harm the liver and impede its function. The employment of data acquisition instruments introduces novel obstacles to the identification and diagnosis of these diseases, such as ambiguity in information modeling, potential risks in decision-making when interpreting diagnostic data, and the demand for comprehensible tools to facilitate informed choices. Therefore, the goal of this paper is to investigate a three-way group decision (3WGD) scheme with evidential reasoning (ER) in incomplete hesitant fuzzy information systems (I-HF-ISs) for liver disease diagnosis. Specifically, the form of multigranulation (MG) I-HF-ISs is established to describe realistic incomplete, imprecise and hesitant information existed in liver disease diagnosis. By utilizing the HF similarity principle and MG three-way decisions (3WD), an adjustable MG HF probability rough set (PRS) concept is developed. The ER method is then employed to determine the optimal threshold. Subsequently, an HF MAGDM approach is established for multi-attribute group decision-making (MAGDM) using adjustable MG HF PRSs and the ER method. Ultimately, the rationality of the proposed methodology is demonstrated through a real-life example using two UCI data sets for liver diseases. The approach’s effectiveness is substantiated through experimental analyses.

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Notes

  1. https://archive.ics.uci.edu/ml/datasets/Liver+Disorders

  2. https://archive-beta.ics.uci.edu/dataset/225/ilpd+indian+liver+patient+dataset

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Funding

The article was supported by grants from the National Natural Science Foundation of China (62072294, 62272284, 61972238), the Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051001015), the Natural Science Foundation of Fujian Province of China (2022J06020), Young Top Talent of Young Eagle Program of Fujian Province of China (F21E0011202B01), the Graduate Education Innovation Programs of Shanxi Province, the Cultivate Scientific Research Excellence Programs of Higher Education Institutions in Shanxi (CSREP) (2019SK036), and the Training Program for Young Scientific Researchers of Higher Education Institutions in Shanxi.

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Authors and Affiliations

  1. School of Computer and Information Technology, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, Shanxi, China

    Juanjuan Ding, Deyu Li & Chao Zhang

  2. College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350117, Fujian, China

    Mingwei Lin

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  1. Juanjuan Ding
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  2. Deyu Li
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Contributions

Juanjuan Ding: Methodology, Investigation, Writing-original draft. Deyu Li: Methodology, Writing-Reviewing and Editing. Chao Zhang: Investigation, Conceptualization, Methodology, Writing-original draft. Methodology, Writing-Reviewing and Editing. Mingwei Lin: Investigation, Methodology.

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Correspondence to Deyu Li or Chao Zhang.

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Ding, J., Li, D., Zhang, C. et al. Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis. Appl Intell 53, 29693–29712 (2023). https://doi.org/10.1007/s10489-023-05116-z

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