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A distributed algorithm with dynamic event-triggered mechanism for resource allocation problems

Cluster computing, 2025-02, Vol.28 (1), p.17, Article 17

2025

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A large-scale supplier evaluation approach for circular economy in the presence of circular criteria interactions and weight consistency

Expert systems with applications, 2025-02, Vol.261, p.125500, Article 125500

2025

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Integrating machine learning models to learn potentially non-monotonic preferences for multi-criteria sorting from large-scale assignment examples

Omega (Oxford), 2025-02, Vol.131, p.103219, Article 103219

2025

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Multi-view neutrosophic c-means clustering algorithms

Expert systems with applications, 2025-01, Vol.260, p.125454, Article 125454

2025

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Incomplete label distribution learning via label correlation decomposition

Information fusion, 2025-01, Vol.113, p.102600, Article 102600

2025

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Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology

Expert systems with applications, 2025-01, Vol.259, p.125304, Article 125304

2025

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Information fusion in order-2 fuzzy environments: A matrix transformation perspective

Fuzzy sets and systems, 2025-01, Vol.498, p.109146, Article 109146

2025

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ScamGen: Unveiling psychological patterns in tele-scam through advanced template-augmented corpus generation

Computers in human behavior, 2025-01, Vol.162, p.108451, Article 108451

2025

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A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions

Journal of network and computer applications, 2025-01, Vol.233, p.104041, Article 104041

2025

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Logic-oriented fuzzy neural networks: A survey

Expert systems with applications, 2024-12, Vol.257, p.125120, Article 125120

2024

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An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance

Swarm and evolutionary computation, 2024-12, Vol.91, p.101699, Article 101699

2024

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Strategies for designing machine learning models in renewable energy with insufficient data

Energy (Oxford), 2024-12, Vol.311, p.133475, Article 133475

2024

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Granular computing-based time series anomaly pattern detection with semantic interpretation

Applied soft computing, 2024-12, Vol.167, p.112318, Article 112318

2024

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BIM-based building performance assessment of green buildings - A case study from China

Applied energy, 2024-11, Vol.373, p.123977, Article 123977

2024

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Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management

Applied soft computing, 2024-11, Vol.166, p.112132, Article 112132

2024

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Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings

Information fusion, 2024-11, Vol.111, p.102502, Article 102502

2024

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Selecting optimal software code descriptors—The case of Java

PloS one, 2024-11, Vol.19 (11), p.e0310840

2024

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Feature Selection With Discernibility and Independence Criteria

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.6195-6209

2024

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Flexible Districting Policy for the Multiperiod Emergency Resource Allocation Problem With Demand Priority

IEEE transactions on systems, man, and cybernetics. Systems, 2024-11, Vol.54 (11), p.6977-6988

2024

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Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity

European journal of operational research, 2024-11, Vol.318 (3), p.892-910

2024

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Random Polynomial Neural Networks: Analysis and Design

IEEE transaction on neural networks and learning systems, 2024-11, Vol.PP (11), p.1-11

2024

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Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.5621-5632

2024

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Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.7326-7339

2024

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Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting

Applied soft computing, 2024-11, Vol.166, p.112195, Article 112195

2024

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Leveraging online reviews and expert opinions for electric vehicle type prioritization

Computers & industrial engineering, 2024-11, Vol.197, p.110579, Article 110579

2024

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A distributed algorithm with dynamic event-triggered mechanism for resource allocation problems

A large-scale supplier evaluation approach for circular economy in the presence of circular criteria interactions and weight consistency

Integrating machine learning models to learn potentially non-monotonic preferences for multi-criteria sorting from large-scale assignment examples

Multi-view neutrosophic c-means clustering algorithms

Incomplete label distribution learning via label correlation decomposition

Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology

Information fusion in order-2 fuzzy environments: A matrix transformation perspective

ScamGen: Unveiling psychological patterns in tele-scam through advanced template-augmented corpus generation

A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions

Logic-oriented fuzzy neural networks: A survey

An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance

Strategies for designing machine learning models in renewable energy with insufficient data

Granular computing-based time series anomaly pattern detection with semantic interpretation

BIM-based building performance assessment of green buildings - A case study from China

Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management

Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings

Selecting optimal software code descriptors—The case of Java

Feature Selection With Discernibility and Independence Criteria

Flexible Districting Policy for the Multiperiod Emergency Resource Allocation Problem With Demand Priority

Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity

Random Polynomial Neural Networks: Analysis and Design

Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models

Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery

Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting

Leveraging online reviews and expert opinions for electric vehicle type prioritization

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