A preference-approval structure-based non-additive three-way group consensus decision-making approach for medical diagnosis

Ye, Jin; Sun, Bingzhen; Bai, Juncheng; Bao, Qiang; Chu, Xiaoli; Bao, Kun

doi:10.1016/j.inffus.2023.102008

Cited by 19 publications

(8 citation statements)

References 65 publications

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“…The connotation study focuses on the computation of conditional probability, loss function, and decision thresholds; the extension study focuses on the combination of three-way decision with other uncertainty theories, decision methods, etc. ; and the application study focuses on the application to specific problems [44][45][46][47].…”

Section: Three-way Decisionmentioning

confidence: 99%

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Gao,

Lyu

2024

Mathematics

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Target threat assessment provides support for combat decision making. The multi-target threat assessment method based on a three-way decision can obtain threat classification while receiving threat ranking, thus avoiding the limitation of traditional two-way decisions. However, the heterogeneous situation information, attribute relevance, and adaptive information processing needs in complex battlefield environment bring challenges to existing methods. Therefore, this paper proposes a new multi-target three-way threat assessment method with heterogeneous information and attribute relevance. Firstly, dynamic assessment information is represented by heterogeneous information, and attribute weights are calculated by heterogeneous Criteria Importance Through Intercriteria Correlation (CRITIC). Then, the conditional probability is calculated by the heterogeneous weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the adaptive risk avoidance coefficients are constructed by calculating the uncertainty of the assessment value, and then the relative loss function matrices are constructed. Finally, the comprehensive loss function matrices are obtained by the weighted Heronian mean (HM) operator, and the comprehensive thresholds are calculated to obtain the three-way rules. The case study shows that compared with the existing methods, the proposed method can effectively handle the heterogeneous information and attribute relevance, and obtain the risk avoidance coefficients without presetting or field subjective settings, which is more suitable for the complex mission environment.

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Section: Three-way Decisionmentioning

confidence: 99%

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Gao,

Lyu

2024

Mathematics

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“…Nonadditive measures and Choquet integral based on nonadditive measures provide new solutions and principles for addressing complex relationship management decision problems in practical applications. In medical decision-making, literatures focus on the use of Choquet integral as an aggregation operator to deal with interacting criteria, such as classifying the different degrees of diseases (Zhang et al 2018), motion-image brainwave multi-band information classification decision (Wieczynski et al 2022), multiattribute prognostic decision of breast cancer with multi-omics information (Dey et al 2021), classification and prediction of COVID-19 based on lung image features (Palmal et al 2023), clinical diagnosis of integrated traditional Chinese and Western medicine with multigrain diversity combined with nonadditive preference group characteristics (Ye et al 2024) and healthcare management effectiveness decision problems (Krueger and Daziano 2022). In addition, nonadditive decision models and various extended theoretical models have been successfully applied to various real-world management decision problems, such as city development and car ownership assessment (Beliakov et al 2020) and sustainable product assessment (Liao et al 2023).…”

Section: Introductionmentioning

confidence: 99%

A nonadditive rough set model for long-term clinical efficacy evaluation of chronic diseases in real-world settings

Xiaoli,

Juan,

Xiaodong

et al. 2024

Artif Intell Rev

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The pursuit of clinical effectiveness in real-world settings is at the core of clinical practice progression. In this study, we address a long-term clinical efficacy evaluation decision-making problem with temporal correlation hybrid attribute characteristics. To address this problem, we propose a novel approach that combines a temporal correlation feature rough set model with machine learning techniques and nonadditive measures. Our proposed approach involves several steps. First, over the framework of granular computing, we construct a temporal correlation hybrid information system, the gradient method is employed to characterize the temporal attributes and the similarity between objects is measured using cosine similarity. Second, based on the similarity of gradient and cosine, we construct a composite binary relation of temporal correlation hybrid information, enabling effective classification of this information. Third, we develop a rough set decision model based on the Choquet integral, which describes temporal correlation decision process. We provide the ranking results of decision schemes with temporal correlation features. To demonstrate the practical applications of our approach, we conduct empirical research using an unlabeled dataset consisting of 3094 patients with chronic renal failure (CRF) and 80,139 EHRs from various clinical encounters. These findings offer valuable support for clinical decision-making. Two main innovations are obtained from this study. First, it establishes general theoretical principles and decision-making methods for temporal correlation and hybrid rough sets. Second, it integrates data-driven clinical decision paradigms with traditional medical research paradigms, laying the groundwork for exploring the feasibility of data-driven clinical decision-making in the field.

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“…Group consensus decision-making (GCDM) is committed to coordinating the conflict of views between DMs, seeking group alternatives of broad support from all DMs. It has been widely used in supply chain management (Liu, 2020), water resources management (Xu et al, 2017), medical diagnosis (Ye et al, 2024) and other fields. But the complexity of the decision-making environment and the inconsistency of human thinking make most multi-criteria group consensus decision-making (MCGCDM) problems uncertain.…”

Section: Introductionmentioning

confidence: 99%

“…It has been widely used in supply chain management (Liu, 2020), water resources management (Xu et al. , 2017), medical diagnosis (Ye et al. , 2024) and other fields.…”

Section: Introductionmentioning

confidence: 99%

Grey multi-criteria group consensus decision-making based on cobweb model

Guo,

Guan,

et al. 2024

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PurposeConsidering the bounded confidence of decision-makers (DMs), a new grey multi-criteria group consensus decision-making (GMCGCDM) model is established by using interval grey number (IGN), cobweb model, social network analysis (SNA) and consensus reaching process (CPR).Design/methodology/approachFirstly, the model analyzes the social relationship of DM under social networks and proposes a calculation method for DMs’ weights based on SNA. Secondly, the model defines a cobweb model to consider the preferences of decision-making alternatives in the decision-making process. The consensus degree is calculated by the area surrounded by the connections between each index value of DMs and the group. Then, the model coordinates the different opinions of various DMs to reduce the degree of bias of each DM and designs a consensus feedback mechanism based on bounded confidence to guide DMs to reach consensus.FindingsThe advantage of the proposed method is to highlight the practical application, taking the selection of low-carbon suppliers in the context of dual carbon as an example. Comparison analysis is performed to reveal the interpretability and applicability of the method.Originality/valueThe main contribution of this paper is to propose a new GMCGCDM model, which can not only expand the calculation method of DM’s weight and consensus degree but also reduce the time and cost of decision-making.

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A preference-approval structure-based non-additive three-way group consensus decision-making approach for medical diagnosis

Cited by 19 publications

References 65 publications

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

A nonadditive rough set model for long-term clinical efficacy evaluation of chronic diseases in real-world settings

Grey multi-criteria group consensus decision-making based on cobweb model

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