An effective service trust evaluation and preprocessing approach considering multi-user interests in cloud manufacturing
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Title
An effective service trust evaluation and preprocessing approach considering multi-user interests in cloud manufacturing
Authors
Keywords
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Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 173, Issue -, Pages 108728
Publisher
Elsevier BV
Online
2022-10-07
DOI
10.1016/j.cie.2022.108728
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- (2022) Ming K. Lim et al. COMPUTERS & INDUSTRIAL ENGINEERING
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- (2020) Petri Helo et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
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- An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems
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- (2019) Tianri Wang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A big data placement method using NSGA-III in meteorological cloud platform
- (2019) Feng Ruan et al. EURASIP Journal on Wireless Communications and Networking
- An Improved Grey Wolf Optimizer Algorithm for Energy-Aware Service Composition in Cloud Manufacturing
- (2019) Yefeng Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Self-organizing evaluation model and algorithm for manufacturing cloud services driven by user behavior
- (2018) Shenquan Huang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Scheduling in cloud manufacturing: state-of-the-art and research challenges
- (2018) Yongkui Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A Comprehensive Assessment Approach to Evaluate the Trustworthiness of Manufacturing Services in Cloud Manufacturing Environment
- (2018) Ping Lou et al. IEEE Access
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- (2018) Saeed Rubaiee et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A hierarchical and configurable reputation evaluation model for cloud manufacturing services based on collaborative filtering
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- QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups
- (2016) Bo Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost
- (2015) Xiaohui Yuan et al. ENERGY CONVERSION AND MANAGEMENT
- A trust evaluation model towards cloud manufacturing
- (2015) Kai Yan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Trust evaluation model of cloud manufacturing service platform
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- Cloud manufacturing: key characteristics and applications
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- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization
- (2012) Oliver Schutze et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Erratum to “A fuzzy trust evaluation method for knowledge sharing in virtual enterprises” [Comput. Indus. Eng. 59 (2010) 853–864]
- (2011) Tsung-Yi Chen et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Evaluating suppliers via a multiple levels multiple criteria decision making method under fuzzy environment
- (2011) Ta-Chung Chu et al. COMPUTERS & INDUSTRIAL ENGINEERING
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- (2011) Xun Xu ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
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