Selecting optimal honeycomb structural materials for electronics clean rooms using a Bayesian best-worst method and ELECTRE III

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 85, P. 108703 - 108703

Published: Feb. 2, 2024

Language: Английский

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Knowledge enhanced data analytics based on three-way decision and granular computing

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112712 - 112712

Published: Jan. 1, 2025

Language: Английский

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Semi-supervised partially labeled heterogeneous feature selection based on information-theoretic three-way decision model

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112880 - 112880

Published: March 1, 2025

Language: Английский

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Multi-Source Data-Driven Personalized Recommendation and Decision-Making for Automobile Products Based on Basic Uncertain Information Order Weighted Average Operator

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4078 - 4078

Published: April 30, 2025

The extensive electronic word-of-mouth (eWOM) data generated by consumers encapsulates authentic product experience information. By leveraging advanced analysis technologies, enterprises can extract sustainable consumer behavior preference knowledge, thereby supporting the optimization of their marketing and management strategies. However, existing data-driven ranking processes predominantly focus on single-source eWOM rarely mine insights from a multi-source perspective. Moreover, quality cannot be overlooked. Consequently, this study uses automobile products as case example integrates rating data, complaint safety test to construct personalized recommendation algorithm. Specifically, an evaluation index system is established for each three types. To model information quality, these are transformed into basic uncertain (BUI), which incorporates scoring credibility metrics. XLNet employed convert text targeted models developed assess reliability Subsequently, BUI aggregated using ordered weighted average (BUIOWA) aggregation operator. Based this, method aligned with user preferences proposed, offering results that match preferences. Finally, illustrative example, elucidates process provides managerial implications enterprises.

Language: Английский

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Continual three-way decisions via knowledge transfer

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 161, P. 111750 - 111750

Published: May 15, 2024

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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Dynamic Decision Making of Decision-Makers’ Psychological Expectations Based on Interval Triangular Fuzzy Soft Sets

Symmetry, Journal Year: 2024, Volume and Issue: 16(3), P. 276 - 276

Published: Feb. 27, 2024

Dynamic decision-making is the process of seeking optimal choice with multiple related attributes under multi-time-point situation. Considering that time-varying nature decision information can have a specific impact on psychology makers, in this paper, dynamic method based cumulative prospect theory proposed. Combining infinite parameterization fuzzy soft sets, time series interval triangular set presented, which has characteristics boundedness, monotonicity, and symmetry. Then, new priority principle, exponential decay model used to determine weight coefficient, static matrix obtained. Furthermore, calculating psychological utility values proposed, threshold-reference point introduced analyze “profit loss” values. Simultaneously, probability scenario transformed into corresponding function. On basis maximization maximum entropy theory, an optimization for determining parameters established. The alternatives are given achieve best alternatives. Finally, example showed feasibility effectiveness method.

Language: Английский

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Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set

Information Sciences, Journal Year: 2024, Volume and Issue: 687, P. 121403 - 121403

Published: Aug. 28, 2024

Language: Английский

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Multi-criteria decision-making based on the combination of interval-valued hesitant fuzzy information and ORESTE method

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 6, 2024

As an important extension of hesitant fuzzy sets, interval-valued sets (IVHFSs) show the flexibility decision makers (DMs) in expressing information. Accordingly, numerous research findings have been provided since introduction IVHFSs. However, a few issues IVHFS utilization remain to be addressed. To do this, this study introduces multi-criteria decision-making (MCDM) method based on combination information and French organization Rangement et Synthese de Ronnees Relationnelles (ORESTE). First, shortcomings generalized normalized Hamming distance for elements (IVHFEs) previous studies are discussed. Subsequently, several novel measures possibility degree formula developed. Meanwhile, proofs properties illustrate effectiveness proposed formula. Second, MCDM ORESTE is Lastly, problem identifying optimal bidding schemeis presented demonstrate method. Acomparative with other methods conducted identical illustrative example.

Language: Английский

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Selection of Green Recycling Suppliers for Shared Electric Bikes: A Multi-Criteria Group Decision-Making Method Based on the Basic Uncertain Information Generalized Power Weighted Average Operator and Basic Uncertain Information-Based Best–Middle–Worst TOPSIS Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8647 - 8647

Published: Oct. 6, 2024

This study introduces a novel multi-criteria group evaluation approach grounded in the theory of basic uncertain information (BUI) to facilitate selection green recycling suppliers for shared electric bikes. Firstly, comprehensive index system is established, encompassing capacity, environmental sustainability, financial strength, maintenance capabilities, and policy support, provide solid foundation scientific process. Secondly, generalized power weighted average (BUIGPWA) operator proposed aggregate with BUI pairs, some related properties are investigated. Furthermore, information-based best–middle–worst TOPSIS (BUI-BMW-TOPSIS) model incorporating best, middle, worst reference points enhance decision-making accuracy proposed. Ultimately, by integrating BUIGPWA aggregation BUI-BMW-TOPSIS handle decision information, (MCGDM) method constructed evaluate Case analyses comparative demonstrate that compared BUIWA operator, yields more reliable results because its consideration degree support among decision-makers. contrast traditional method, incorporates credibility provided decision-makers, leading trustworthy outcomes. Notably, variations attribute weights significantly impact results. In summary, our methods excel handling complex decisions, boosting rigor reliability, supporting optimization sustainability bike suppliers.

Language: Английский

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