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Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling., , , , and . Soft Comput., 17 (9): 1687-1697 (2013)Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission., , , , and . Appl. Soft Comput., (2015)Using semantic caching to manage location dependent data in mobile computing., and . MobiCom, page 210-221. ACM, (2000)Fingerprint Enhancement Using Oriented Diffusion Filter., , , , and . AVBPA, volume 2688 of Lecture Notes in Computer Science, page 164-171. Springer, (2003)Uncertainty Prediction for Tool Wear Condition Using Type-2 TSK Fuzzy Approach., , and . SMC, page 660-665. IEEE, (2009)Modelling of dynamic micromilling cutting forces using type-2 fuzzy rule-based system., , , and . FUZZ-IEEE, page 1-7. IEEE, (2010)Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling., , , , , and . Inf. Sci., (2014)Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic., , , and . Advances in Type-2 Fuzzy Sets and Systems, volume 301 of Studies in Fuzziness and Soft Computing, Springer, (2013)A Highly Accurate Model-Free Motion Control System with a Mamdani Fuzzy Feedback Controller combined with a TSK Fuzzy Feed-forward Controller., and . J. Intell. Robotic Syst., 86 (3-4): 367-379 (2017)Automatic Fingerprint Identification Using Cluster Algorithm., , , and . ICPR (2), page 398-401. IEEE Computer Society, (2002)