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Data Analysis of Hybrid Principal Component for Rural Land Circulation Management based on Gray Relation Algorithmic Models

Volume 15, Number 7, July 2019, pp. 1976-1987
DOI: 10.23940/ijpe.19.07.p25.19761987

Zhongbo Wang and Zhilin Suo

College of Economics and Management, Northeast of Agricultural University, Harbin, 150001, China

 

(Submitted on March 13, 2019; Revised on April 8, 2019; Accepted on June 20, 2019)

Abstract:

Data analysis is a common and essential process of determining the main driving factors of hybrid information principal components for rural land circulation management. To solve the existing hybrid information regarding the problem of rural land circulation in China, the main driving factors need to be confirmed based on gray relation algorithmic models in the paper. Five types of gray relation algorithmic models are adopted for hybrid Information principal component analysis for rural land circulation, such as the Deng’s gray relation algorithmic model, gray absolute relation algorithmic model, T-type gray relation algorithmic model, improved gray relation algorithmic model, and gray slope relation algorithmic model. According to our collected data, the results of data analysis comparison illustrate that different gray relation algorithms may affect the order of the importance of each driving factor. The most critical driving factors are obtained as follows: the rate of non-agricultural income, the ratio of signed contracts and the ratio of peasants’ spontaneous taking part in rural land circulation, which are also the most three main driving factors on the Chinese rural land circulation management.

 

References: 41

  1. S. F. Liu, J. Forrest, and Y. J. Yang, “A Brief Introduction to Grey Systems Theory,” Grey Systems: Theory and Application, Vol. 2, No. 2, pp. 89-104, 2012
  2. J. H. Zhao, B. Li, J. H. Zhang, and C. C. Wang, “Research into Effect Evaluation Method of Complex Electromagntic Spectrum Management Plan,” Shipboard Electronic Countermeasure, Vol. 40, No. 3, pp. 35-39, 2017
  3. S. Dong, Q. Xia, and N. Li, “Research on Software Defect List: Prediction Method based on Grey Relational Analysis,” Computer Engineering and Application, Vol. 42, pp. 67-71, 2013
  4. X. Zhou, “The Study on Grey Relational Degree and Its Application,” Jilin University Press, 2007
  5. J. L. Deng, “Grey System,” China Ocean Press, Beijing, 1988
  6. J. C. Li, D. Y. Bi, Y. L. Ying, K. Wei, and B. Zhang, “An Improved Algorithm for Extracting Subtle Features of Radiation Source Individual Signals,” Electronics, Vol. 8, No. 2, pp. 246, 2019
  7. Q. Wang, “The Grey Relational Analysis of B-Mode,” Journal of Huazhong University of Science and Technology, Vol. 6, pp. 77-82, 1989
  8. Z. Mei, “The Concept and Computation Method of Grey Absolute Correlation Degree,” Systems Engineering, Vol. 5, pp. 43-44, 1992
  9. Y. Lin, C. Wang, C. G. Ma, Z. Dou, and X. F. Ma, “A New Combination Method for Multi-Sensor Conflict Information,” The Journal of Supercomputing, Vol. 72, pp. 1-17, 2016
  10. W. Tang, “The Concept and the Computation Method of T's Correlation Degree,” Application of Statistics and Management, Vol. 1, pp. 34-37, 1995
  11. Y. Dang, “The Research of Grey Slope Relational Grade,” System Sciences and Comprehensive Studies in Agriculture, Supplement 10, pp. 331-337, 1994
  12. J. Li, Y. Ying, Y. Ren, et al., “Research on Rolling Bearing Fault Diagnosis based on Multi-Dimensional Feature Extraction and Evidence Fusion Theory,” Royal Society Open Science, 2019
  13. Y. Sun and Y. Dang, “The Improved Model of Grey Slope Relational Grade,” Statistics and Decision, Vol. 15, pp. 12-13, 2007
  14. Q. Wang and L. Guo, “Generalized Relational Analysis Method,” Journal of Huazhong University of Science and Technology (Natural Science Edition), Vol. 8, pp. 97-99, 2005
  15. S. Zhang, “Comparison between Computation Models of Grey Interconnect Degree and Analysis on Their Shortages,” Systems Engineering, Vol. 3, pp. 45-49, 1996
  16. X. Li, “Research on the Computation Model of Grey Interconnect Degree,” Systems Engineering, Vol. 6, pp. 58-61, 1995
  17. L. Yun, C. Wang, J. X. Wang, and Z. Dou, “A Novel Dynamic Spectrum Access Framework based on Reinforcement Learning for Cognitive Radio Sensor Networks,” Sensors, Vol. 16, pp. 1-22, 2016
  18. M. Li, “A New Descriminant Byelaw for Grey Interconnect Degree and Its Calculation Formulas,” Systems Engineering, Vol. 1, pp. 68-70, 1998
  19. F. Lu, X. Liu, and Q. Liu, “The Theory of Grey Relative Analysis and It's New Research,” Journal of Wuhan University of Technology, Vol. 2, pp. 41-43, 2000
  20. J. Li and Y. Ying, “A Method to Improve the Robustness of Gas Turbine Gas-Path Fault Diagnosis Against Sensor Faults,” IEEE Transactions on Reliability, Vol. 67, No. 1, pp. 3-12, 2018
  21. H. Wang, J. C. Li, L. L. Guo, Z. Dou, Y. Lin, and R. L. Zhou, “Fractal Complexity-based Feature Extraction Algorithm of Communication Signals,” Fractals-Complex Geometry Patterns & Scaling in Nature & Society, Vol. 25, pp. 1740008, 2017
  22. N. Shui, T. Dong, and Z. Sha, “On Several Theoretical Problems of Grey Correlation Degree,” Systems Engineering, Vol. 6, pp. 23-26, 1992
  23. Y. Huang and Z. Chen, “The Inconsistent Problems in the Grey Relational Theory,” Systems Engineering –Theory & Practice, Vol. 8, pp. 118-121, 2003
  24. X. Xiao and H. Fu, “Analysis on the Correlation Measurement of Shipping Exchange and Port Economy,” Logistics Sci-Tech, No. 10, pp. 72-74, 2017
  25. G. K. Bose, “Selecting Significant Process Parameters of ECG Process using Fuzzy-MCDM Technique,” International Journal of Materials Forming and Machining Processes (IJMFMP), Vol. 2, No. 1, pp. 38-53, 2015
  26. M. Wei and Y. Liu, “Information System Security Risk Assessment based on Grey Relational Analysis and Dempster-Shafer Theory,” in Proceedings of International Conference on Mechatronic Science, Electric Engineering and Computer, pp. 853-856, 2011
  27. P. Hsu and E. Lin, “Tsai C W. Optimal Selection of Business Managers for Integrated Marketing Communications Companies Using AHP and GRA,” International Journal of Customer Relationship Marketing and Management (IJCRMM), Vol. 7, No. 2, pp. 16-29, 2016
  28. C. Fu, J. Zheng, and J. Zhao, “Application of Grey Relational Analysis for Corrosion Failure of Oil Tubes,” Corrosion Science, pp. 881-889, 2001
  29. L. Abhang and M. Hameedullah, “Response Surface Modeling and Grey Relational Analysis to Optimize Turning Parameters with Multiple Performance Characteristics,” International Journal of Manufacturing, Materials, Vol. 2, No. 2, pp. 12-45, 2012
  30. A. R. Otero, A. Ejnioui, C. E. Otero, and G. Tejay, “Evaluation of Information Security Controls in Organizations by Grey Relational Analysis,” International Journal of Dependable and Trustworthy Information Systems (IJDTIS), Vol. 2, No. 3, pp. 36-54, 2011
  31. H. B. Li, M. S. Yang, Y. Li, Q. L. Yuan, and Z. M. Yao, “Optimization of SPIF Surface Roughness via Grey Relational Analysis,” Mechanical Science and Technology for Aerospace Engineering, Vol. 236, No. 10, pp. 1576-1581, 2017
  32. W. Liu and Z. Li, “The Grey Relational Analysis about the Influence Factors of Rural Land Circulation,” Social Sciences in Hunan, Vol. 3, pp. 136-138, 2012
  33. J. Deng, “The Basic Method of Grey System Theory,” Huazhong University of Science and Technology Press, Wuhan, 2002
  34. F. Li, “Theoretical Study and Application on Grey System Theory,” Science & Technology Literature Press, Beijing, 1992
  35. M. X. Cao, “Research on Grey Incidence Analysis Model and Its Application,” Nanjing University of Aeronautics and Astronautics, 2007
  36. J. Li, Y. Ying, X. Lou, J. Fan, Y. Chen, and D. Bi, “Integrated Energy System Optimization based on Standardized Matrix Modeling Method,” Applied Sciences, Vol. 8, No. 12, pp. 2372, 2018
  37. Y. Ying, J. Li, Z. Chen, and J. Guo, “Study on Rolling Bearing on-Line Reliability Analysis based on Vibration Information Processing,” Computers & Electrical Engineering, No. 69, pp. 842-851, 2018
  38. J. Deng, “The Basic Method of Grey System Theory,” Huazhong University of Science and Technology Press, Wuhan, 1992
  39. Z. Liu, “Two Problems Existing in Grey Systems Analysis,” Systems Engineering–Theory & Practice, Vol. 20, No. 9, pp. 123-124, 2000
  40. F. Lv, “Research on the Identification Coefficient of Relational Grade for Grey System,” Systems Engineering –Theory & Practice, Vol. 6, pp. 49-54, 1997
  41. X. Li, “Research on the Computation Model of Grey Interconnect Degree,” Systems Engineering, Vol. 6, pp. 58-61, 1995

 

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