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Grey Information: Theory and Practical Applications (Advanced Information and Knowledge Processing)December 2005
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
ISBN:978-1-85233-995-1
Published:01 December 2005
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Abstract

No abstract available.

Cited By

  1. Zanon L and Carpinetti L (2021). Combining grey clustering and fuzzy grey cognitive maps: an approach to group decision-making on cause-and-effect relationships, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:24, (15201-15220), Online publication date: 1-Dec-2021.
  2. Es H and Hamzacebi C (2021). Exploring CO2 emissions according to planned energy investments and policies: the case of Turkey, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:1, (785-798), Online publication date: 1-Jan-2021.
  3. Liu H, Luan X, Lin W and Xiong Y (2020). Grey Reasoning Petri Nets for Large Group Knowledge Representation and Reasoning, IEEE Transactions on Fuzzy Systems, 28:12, (3315-3329), Online publication date: 1-Dec-2020.
  4. Li C, Yang Y and Liu S (2020). A greyness reduction framework for prediction of grey heterogeneous data, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:23, (17913-17929), Online publication date: 1-Dec-2020.
  5. Hu Y (2020). Energy demand forecasting using a novel remnant GM(1,1) model, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:18, (13903-13912), Online publication date: 1-Sep-2020.
  6. Guo Y, Dong S, Hao Y, Liu Z, Yeh T, Wang W, Gao Y, Li P, Zhang M and Scarpiniti M (2020). Risk Assessments of Water Inrush from Coal Seam Floor during Deep Mining Using a Data Fusion Approach Based on Grey System Theory, Complexity, 2020, Online publication date: 1-Jan-2020.
  7. Harmati I and Kóczy L (2019). On the Convergence of Sigmoidal Fuzzy Grey Cognitive Maps, International Journal of Applied Mathematics and Computer Science, 29:3, (453-466), Online publication date: 1-Sep-2019.
  8. Eshghi A, Mousavi S and Mohagheghi V (2019). A new interval type-2 fuzzy approach for analyzing and monitoring the performance of megaprojects based on earned value analysis (with a case study), Neural Computing and Applications, 31:9, (5109-5133), Online publication date: 1-Sep-2019.
  9. Rajasingam N, Rasi D and Deepa S (2019). RETRACTED ARTICLE: Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:18, (8453-8470), Online publication date: 1-Sep-2019.
  10. Hu Y, Jiang H, Jiang P and Kong P An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China HCI in Business, Government and Organizations. Information Systems and Analytics, (354-366)
  11. Chen Y, Liu H and Hsieh H (2019). Time series interval forecast using GM(1,1) and NGBM(1, 1) models, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:5, (1541-1555), Online publication date: 1-Mar-2019.
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    Nesa N, Ghosh T and Banerjee I (2018). iGRM, ACM Transactions on Knowledge Discovery from Data, 12:4, (1-23), Online publication date: 31-Aug-2018.
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  14. Xiang W, Li Y, Meng X, Zhang C and An M (2017). A grey artificial bee colony algorithm, Applied Soft Computing, 60:C, (1-17), Online publication date: 1-Nov-2017.
  15. Amirian H and Sahraeian R (2017). Solving a grey project selection scheduling using a simulated shuffled frog leaping algorithm, Computers and Industrial Engineering, 107:C, (141-149), Online publication date: 1-May-2017.
  16. Liao H, Chen Y, Dai W and Ruan R (2017). Tied factors analysis for high-dimensional image feature extraction and recognition application, Pattern Analysis & Applications, 20:2, (587-600), Online publication date: 1-May-2017.
  17. Bezuglov A and Comert G (2016). Short-term freeway traffic parameter prediction, Expert Systems with Applications: An International Journal, 62:C, (284-292), Online publication date: 15-Nov-2016.
  18. Shu Z, Wan J, Zhang D and Li D (2016). Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications, Mobile Networks and Applications, 21:5, (865-878), Online publication date: 1-Oct-2016.
  19. Turskis Z, Daniźnas A, Zavadskas E and Medzvieckas J (2016). Multicriteria Evaluation of Building Foundation Alternatives, Computer-Aided Civil and Infrastructure Engineering, 31:9, (717-729), Online publication date: 1-Sep-2016.
  20. Liu H and Cheng H (2016). An improved grey quality function deployment approach using the grey TRIZ technique, Computers and Industrial Engineering, 92:C, (57-71), Online publication date: 1-Feb-2016.
  21. Chang C, Li D, Huang Y and Chen C (2015). A novel gray forecasting model based on the box plot for small manufacturing data sets, Applied Mathematics and Computation, 265:C, (400-408), Online publication date: 15-Aug-2015.
  22. Wu K and Wu C (2013). State-based search strategy in unstructured P2P, Future Generation Computer Systems, 29:1, (381-386), Online publication date: 1-Jan-2013.
  23. Badinelli R (2012). Fuzzy Modeling of Service System Engagements, Service Science, 4:2, (135-146), Online publication date: 1-Jun-2012.
  24. Liu S, Dang Y and Forrest J On positioned solution of linear programming with grey parameters Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (751-756)
  25. Dang Y, Cui J, Li X and Mi C Construction of new weakening buffer operators based on new information and their applications Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (745-750)
  26. Tien T (2009). A new grey prediction model FGM(1, 1), Mathematical and Computer Modelling: An International Journal, 49:7-8, (1416-1426), Online publication date: 1-Apr-2009.
  27. Lim D, Anthony P and Ho C Predictor agent for online auctions Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications, (381-390)
  28. Kung C, Ho M and Chen L The application of GM (1,1) model of grey prediction to supply and demand of doctor's manpower for otolaryngologists in Taiwan Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology, (544-548)
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