A new linguisitic three-way decision model for multi-attribute group decision making problems under inconsistent group opinions

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127894 - 127894

Published: April 1, 2025

Language: Английский

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A novel utilités additives—based social network group decision-making method considering preference consistency

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110947 - 110947

Published: Feb. 1, 2025

Language: Английский

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Three-Way Group Decision-Making With Personalized Numerical Scale of Comparative Linguistic Expression: An Application to Traditional Chinese Medicine

IEEE Transactions on Fuzzy Systems, Journal Year: 2024, Volume and Issue: 32(8), P. 4352 - 4363

Published: May 2, 2024

Language: Английский

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

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(2)

Published: Feb. 3, 2024

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

Language: Английский

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

Mathematics, Journal Year: 2024, Volume and Issue: 12(5), P. 691 - 691

Published: Feb. 27, 2024

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

Language: Английский

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A multi-strategy three-way decision approach for tri-state risk loss under q-rung orthopair fuzzy environment

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 167, P. 112197 - 112197

Published: Sept. 4, 2024

Language: Английский

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Kernel multi-granularity double-quantitative rough set based on ensemble empirical mode decomposition: Application to stock price trends prediction

International Journal of Approximate Reasoning, Journal Year: 2024, Volume and Issue: 172, P. 109217 - 109217

Published: May 24, 2024

Language: Английский

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

Grey Systems Theory and Application, Journal Year: 2024, Volume and Issue: 14(3), P. 451 - 472

Published: June 17, 2024

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

Language: Английский

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Multi-modal incomplete label information three-way bidirectional decision-making: Applications of disease assessment

Information Fusion, Journal Year: 2024, Volume and Issue: 113, P. 102615 - 102615

Published: Aug. 5, 2024

Language: Английский

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Double-quantitative multi-granularity kernel fuzzy rough sets model and its application in rheumatoid arthritis risk assessment

International Journal of Machine Learning and Cybernetics, Journal Year: 2024, Volume and Issue: unknown

Published: May 9, 2024

Language: Английский

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