Linear programming with fuzzy variables HR Maleki, M Tata, M Mashinchi Fuzzy sets and systems 109 (1), 21-33, 2000 | 486 | 2000 |
Fuzzy estimation for process capability indices A Parchami, M Mashinchi Information sciences 177 (6), 1452-1462, 2007 | 138 | 2007 |
Ranking fuzzy numbers based on the areas on the left and the right sides of fuzzy number AM Nejad, M Mashinchi Computers & Mathematics with Applications 61 (2), 431-442, 2011 | 135 | 2011 |
A discrete gravitational search algorithm for solving combinatorial optimization problems MB Dowlatshahi, H Nezamabadi-Pour, M Mashinchi Information Sciences 258, 94-107, 2014 | 120 | 2014 |
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 | 83 | 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 |
A tabu–harmony search-based approach to fuzzy linear regression MH Mashinchi, MA Orgun, M Mashinchi, W Pedrycz IEEE Transactions on Fuzzy Systems 19 (3), 432-448, 2011 | 65 | 2011 |
Solving fuzzy number linear programming problem by lexicographic ranking function HM Nehi, HR Maleki, M Mashinchi Italian journal of pure and applied mathematics 15 (1), 9-20, 2004 | 56 | 2004 |
On L-fuzzy primary submodules M Mashinchi, MM Zahedi Fuzzy sets and systems 49 (2), 231-236, 1992 | 56 | 1992 |
Linear programming with rough interval coefficients A Hamzehee, MA Yaghoobi, M Mashinchi Journal of Intelligent & Fuzzy Systems 26 (3), 1179-1189, 2014 | 53 | 2014 |
Rough set and data analysis in decision tables JH Nasiri, M Mashinchi Journal of uncertain systems 3 (3), 232-240, 2009 | 49 | 2009 |
An iterative approach to solve multiobjective linear fractional programming problems E Valipour, MA Yaghoobi, M Mashinchi Applied Mathematical Modelling 38 (1), 38-49, 2014 | 46 | 2014 |
Testing fuzzy hypotheses based on vague observations: a p-value approach A Parchami, SM Taheri, M Mashinchi Statistical Papers 53, 469-484, 2012 | 46 | 2012 |
A new generation of process capability indices A Parchami, M Mashinchi Journal of Applied Statistics 37 (1), 77-89, 2010 | 45 | 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 |
Fuzzy number linear programming: a probabilistic approach (3) HR Maleki, M Mashinchi Journal of Applied Mathematics and Computing 15, 333-341, 2004 | 41 | 2004 |
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 |