Fuzzy estimation for process capability indices A Parchami, M Mashinchi Information sciences 177 (6), 1452-1462, 2007 | 138 | 2007 |
Process capability indices as fuzzy numbers A Parchami, M Mashinchi, AR Yavari, HR Maleki Austrian Journal of Statistics 34 (4), 391–402-391–402, 2005 | 97 | 2005 |
Fuzzy p-value in testing fuzzy hypotheses with crisp data A Parchami, SM Taheri, M Mashinchi Statistical Papers 51, 209-226, 2010 | 84 | 2010 |
Fuzzy confidence interval for fuzzy process capability index A Parchami, M Mashinchi, HR Maleki Journal of Intelligent & Fuzzy Systems 17 (3), 287-295, 2006 | 83 | 2006 |
Testing fuzzy hypotheses based on vague observations: a p-value approach A Parchami, SM Taheri, M Mashinchi Statistical Papers 53, 469-484, 2012 | 47 | 2012 |
A new generation of process capability indices A Parchami, M Mashinchi Journal of Applied Statistics 37 (1), 77-89, 2010 | 46 | 2010 |
Construction of p-charts using degree of nonconformity V Amirzadeh, M Mashinchi, A Parchami Information Sciences 179 (1-2), 150-160, 2009 | 45 | 2009 |
Analysis of variance based on fuzzy observations M Nourbakhsh, M Mashinchi, A Parchami International Journal of Systems Science 44 (4), 714-726, 2013 | 42 | 2013 |
Analysis of variance in uncertain environments A Parchami, M Nourbakhsh, M Mashinchi Complex & Intelligent Systems 3, 189-196, 2017 | 40 | 2017 |
A Bayesian Approach to Capability Testing Based on Cpk with Multiple Samples M Kargar, M Mashinchi, A Parchami Quality and Reliability Engineering International 30 (5), 615-621, 2014 | 37 | 2014 |
A new generation of process capability indices based on fuzzy measurements A Parchami, B Sadeghpour-Gildeh, M Nourbakhsh, M Mashinchi Journal of Applied Statistics 41 (5), 1122-1136, 2014 | 37 | 2014 |
Process capability analysis using intuitionistic fuzzy sets C Kahraman, A Parchami, S Cevik Onar, B Oztaysi Journal of Intelligent & Fuzzy Systems 32 (3), 1659-1671, 2017 | 35 | 2017 |
Fuzzy confidence regions for the Taguchi capability index Z Ramezani, A Parchami, M Mashinchi International Journal of Systems Science 42 (6), 977-987, 2011 | 29 | 2011 |
Testing the capability of fuzzy processes A Parchami, M Mashinchi Quality Technology & Quantitative Management 6 (2), 125-136, 2009 | 28 | 2009 |
One-way ANOVA and least squares method based on fuzzy random variables A Jiryaei, A Parchami, M Mashinchi Turkish Journal of Fuzzy Systems 4 (1), 18-33, 2013 | 25 | 2013 |
An application of testing fuzzy hypotheses: Soil study on the bioavailability of cadmium A Parchami, R Ivani, M Mashinchi Scientia Iranica 18 (3), 470-478, 2011 | 23 | 2011 |
Process capability analysis using interval type-2 fuzzy sets A Parchami, SÇ Onar, B Öztayşi, C Kahraman International Journal of Computational Intelligence Systems 10 (1), 721-733, 2017 | 21 | 2017 |
A note on fuzzy process capability indices MT Moeti Scientia Iranica 13 (4), 2006 | 21 | 2006 |
An effective approach for measuring the capability of manufacturing processes A Parchami, M Mashinchi, A Sharayei Production Planning & Control 21 (3), 250-257, 2010 | 20 | 2010 |
A consistent confidence interval for fuzzy capability index A Parchami, M Mashinchi, V Partovi Nia Applied and Computational Mathematics 7 (1), 119-125, 2008 | 19 | 2008 |