H. Hujun and Z. Yaning, “Multi-source Data Fusion Technology and Its Application in Geological and Mineral Survey”: Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference, pp. 1-6, 2010.
D. L. Hall and J. Llinas, “An Introduction to Multisensor Data Fusion”: Circuits and Systems, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on, pp. 537-540, 1998.
Q. Wu, D. Ferebee, Y. Lin and D. Dasgupta “An Integrated Cyber Security Monitoring System Using Correlation-based Techniques”: System of Systems Engineering, 2009. SoSE 2009. IEEE International Conference, 2009.
R. Tenney and N. Sandell, “Detection with distributed sensors,”: IEEE Trans. Aerospace and Electronic Systems, vol. AES-17, pp. 501–510, July 1981.10.1109/TAES.1981.309178
[6]T. Dakhlallah, M. Zohdy and O. Salim, “Application of Hyper-Fuzzy Logic Decisions for A rd
Security Monitoring System,”: 2011 3 International Conference on Computer and Automation Engineering (ICCAE 2011), pp. V1-387, 2011.
V. Subramanian, T. F. Burks and W. E. Dixon, “Sensor Fusion Using Fuzzy Logic Enhanced Kalman Filter For Autonomous Vehicle Guidance In Citrus Groves”, transaction of ASABE (American Society of Agricultural and Biological Engineers), vol 52(5), 2009.10.13031/2013.29121
R. C. Luo and C. Yih, “Multisensor Fusion and Integration: Approaches, Applications and Future Research Directories”. Department of Electrical Engineering, National Chung Cheng University. IEEE Sensors Journal, Vol. 2, No. 2, 2002.10.1109/JSEN.2002.1000251
Q. Liang and J. Mendel, “Interval Type-2 Fuzzy Logic Systems: Theory and Design”: IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 5, OCTOBER 2000.10.1109/91.873577
H. Youpeng, L. Lin and Z. Yongfeng ; “A Hetrogenous Sensors Track-to-Track Correlation Algorithm Based on Fuzzy Numbers Similarity Degree”: Information and Computing Science, 2009. ICIC '09. Second International Conference, pp. 191, 2009.10.1109/IFITA.2009.214
J. R. Castro, O. Castillo and P. Melin, “An Interval Type-2 Fuzzy Logic Toolbox for Control Applications,”: International Conference on Fuzzy Systems, pp. 1-6, 2007.10.1109/FUZZY.2007.4295341