[1]
R Caprihan and S. Wadhwa, Information delay: relevance and impact on flexible job-shop performance in a CIM environment, in Proceedings of the International Conference on CAD, CAM, Robotics, and Autonomous Factories, IIT, Delhi, India, 1993, p.231.
Google Scholar
[2]
J. S. Jang, ANFIS: Adaptive-network-based fuzzy inference systemss Syst Man Cybern 2, IEEE Trans Syst Man Cybern, vol. 23, no. 3, p.665–685, (1993).
DOI: 10.1109/21.256541
Google Scholar
[3]
S. P. LO, The application of an ANFIS and grey system method in turning tool-failure detection, Intl J Adv Manuf Technol, vol. 19, p.564–572, (2002).
DOI: 10.1007/s001700200061
Google Scholar
[4]
G.S. V.P. Raju, V. M. Sumalatha, K. V. Ramani, and K. V. Lakshmi, Solving Uncertain Problems using ANFIS, International Journal of Computer Applications (0975 – 8887), vol. 29, no. 11, pp.14-21, (2011).
DOI: 10.5120/3690-5152
Google Scholar
[5]
O. Castillo and P. Melin, Hybrid Intelligent Systems for Time Series Prediction Using Neural Networks, Fuzzy Logic, and Fractal Theory, IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 13, no. 6, pp.1395-1408, Nov. (2002).
DOI: 10.1109/tnn.2002.804316
Google Scholar
[6]
D. C. Li, Chihsen Wu, and F. Chang, Using data-fuzzification technology in small data set learning to improve FMS scheduling accuracy, Int J Adv Manuf Technol, vol. 27, p.321–328, (2005).
DOI: 10.1007/s00170-003-2184-y
Google Scholar
[7]
Min Chun Yu and T. J. Greene, An operational measure of routing flexibility in a multi-stage multi-product production system, Int J Adv Manuf Technol, vol. 43, p.357–364, (2009).
DOI: 10.1007/s00170-008-1711-2
Google Scholar
[8]
A. K, Sethi, S. P Sethi, Flexibility in manufacturing: a survey, International Journal of Flexible Manufacturing Systems, vol. 2, no. 4, pp.289-328, (1990).
Google Scholar
[9]
J Browne, D Dubois, K Rathmill, S Sethi, and K Stecke, Classification of Flexible Manufacturing Systems, THE FMS MAGAZINE, pp.114-117, (1984).
Google Scholar