A fuzzy expert system to increase accuracy and precision in measurement system analysis

Automotive Industry Action Group (AIAG), Measurement Systems Analysis Reference Manual, third ed., Chrysler, Ford, General Motors Supplier Quality Requirements Task Force, 2002. Harry, 2002 Grubbs, 1973, Errors of measurement, precision, accuracy and the statistical comparison of measuring instruments, Technimetrics, 15, 53, 10.1080/00401706.1973.10489010 Montgomery, 2009 Pan, 2006, Evaluating the gauge repeatability and reproducibility for different industries, Quality and Quantity, 40, 499, 10.1007/s11135-005-1100-y Smith, 2007, Gauge repeatability and reproducibility studies and measurement system analysis: a multi method exploration of the state of practice, Journal of Quality Technology, 23, 1 Burdick, 2003, A review of measurement systems capability analysis, Journal of Quality Technology, 35, 342, 10.1080/00224065.2003.11980232 Tsai, 1989, Variable gauge repeatability and reproducibility study using the analysis of variance method, Quality Engineering, 1, 107, 10.1080/08982118808962642 Foster, 2006 Juran, 1993 Senol, 2004, Measurement system analysis using designed experiments with minimum α–β risks and n, Measurement, 36, 131, 10.1016/j.measurement.2004.05.001 Al-Refaie, 2010, Evaluating measurement and process capabilities by GR&R with four quality measures, Measurement, 43, 842, 10.1016/j.measurement.2010.02.016 Zadeh, 1965, Fuzzy sets, Information Control, 8, 338, 10.1016/S0019-9958(65)90241-X Lee, 2001, Cpk index estimation using fuzzy numbers, European Journal of Operational Research, 129, 683, 10.1016/S0377-2217(99)00438-5 Hong, 2004, A note on Cpk index estimation using fuzzy numbers, European Journal of Operational Research, 158, 529, 10.1016/S0377-2217(03)00259-5 Parchami, 2005, Process capability indices as Fuzzy numbers, Austrian Journal of Statistics, 34, 391, 10.17713/ajs.v34i4.425 Parchami, 2007, Fuzzy estimation for process capability indices, Information Sciences, 177, 1452, 10.1016/j.ins.2006.08.016 Faraz, 2007, Fuzzy control chart: a better alternative for Shewhart average chart, Quality and Quantity, 41, 375, 10.1007/s11135-006-9007-9 Golbay, 2006, An alternative approach to fuzzy control charts: direct fuzzy approach, Information Sciences, 77, 1463 Rossi, 2002, Measurement growth in a total, quality perspective, Measurement, 32, 117, 10.1016/S0263-2241(02)00005-2 Bokov, 2011, Pneumatic gauge steady-state modelling by theoretical and empirical methods, Original Research Article, 44, 303 Zadeh, 1999, From computing with numbers to computing with words – from manipulation of measurements to manipulation of perceptions, IEEE Transactions on Circuit Systems, 45, 105, 10.1109/81.739259 Ganesh Kumar, 2012, Design of fuzzy expert system for microarray data classification using a novel genetic swarm algorithm, Expert System with Applications, 39, 1811, 10.1016/j.eswa.2011.08.069 Ford, General Motors and Chrysler, “Measurement system analysis”, Reference Manual, 126p, 1995. Montgomery, 1993, Gauge capability and designed experiments, Part I: basic methods, Quality Engineering, 6, 115, 10.1080/08982119308918710 Leung, 2007, Adjusted action limits for Cpm based on departures from normality, International Journal of Production Economics, 107, 237, 10.1016/j.ijpe.2006.09.003 Shishebori, 2010, Properties of multivariate process capability in the presence of gauge measurement errors and dependency measure of process variables, Journal of Manufacturing Systems, 29, 10, 10.1016/j.jmsy.2010.06.005 Hradesky, 1995, Total Quality Management Handbook, McGraw-Hill Montgomery, 1993, Gauge Capability Analysis and Designed Experiments, Part II: Experimental Design Models and Variance Component Estimation, Quality Engineering, 6, 289 2008