[106] S.H. Nasseri, O. Gholami, A. Ebrahimnejad and M. Fallah Jelodar, A new approach based on alpha cuts for solving data envelopment analysis model with fuzzy stochastic inputs and outputs, Journal of New Researches in Mathematics, 2(5) (2016) 61-70.

[105] Z. Alizadeh Afrouzy, S.H. Nasseri and I. Mahdavi, A genetic algorithm for supply chain configuration with new product development, Computers & Industrial Engineering, 101 (2016) 440-454.

[104] Z. Alizadeh Afrouzy, S.H. Nasseri, I. Mahdavi and M.M. Paydar, A fuzzy stochastic multi-objective optimization model to configure a supply chain considering new product development, Applied Mathematical Modelling, 40(17–18) (2016) 7545-7570.

[103] S.H. Nasseri, A. Yazdani and D. Darvishi Salokolaei, A Primal Simplex Algorithm for Solving Linear Programming Problem with Grey Cost Coefficients, Journal of New Researches in Mathematics, 1(4) (2016) 121-141.

[102] S.H. Nasseri and D. Darvishi Salokolaei, Diet modeling in uncertainty conditions using Grey Systems approach, Journal of Operational Research and its Application, 12(4) (2016) 29-45.

[101] S.H. Nasseri, I. Mahdavi, Z. Alizadeh Afrouzy and R. Nourifar, A fuzzy mathematical multi-period multi-echelon supply chain model based on extension principle, Annals of the University of Craiova, Mathematics and Computer Science Series, 42(2) (2015) 384-401.

[100] S.H. Nasseri, A New Approach to Solve Fully Fuzzy Linear Programming with Trapezoidal Numbers Using Conversion Functions, Journal of New Researches in Mathematics, 1(3) (2015) 19-28.

[99] S.H. Nasseri, and O. Khazaee Kohpar, Pareto-optimal solutions in multi-objective linear programming with fuzzy numbers, Annals of Fuzzy Mathematics and Informatics, 9(5) (2015) 823-833.

[98] S.H. Nasseri, O. Gholami and A. Ebrahimnejad, On ranking decision making units using relative similar units in data envelopment analysis, International Journal of Applied Decision Sciences, 7(4) (2014) 424-436.

[97] S.M. Mansourzadeh, S.H. Nasseri, M. Forghani-elahabad and A. Ebrahimnejad, A Comparative Study of Different Approaches for Finding the Upper Boundary Points in Stochastic-Flow Networks, International Journal of Enterprise Information Systems (IJEIS), 10(3) (2014) 13-23.

[96] S.H. Nasseri, F. Khalili Goodarzi and N.A. Taghinezhad, A new fuzzy approach to solve a novel model of open shop scheduling problem, Scientific Bulletin, Series A, 76(3) (2014) 199-210 .

[95] Xiao-peng Yang, Bing-Yuan Cao, S. H. Nasseri and Xue-Gang Zhou, A MOLP method for solving fully fuzzy linear programming with LR fuzzy parameters, Mathematical Problems in Engineering, 2014 (2014) 1-10.

[94] H. Attari and S.H. Nasseri, New Concepts of Feasibility and Efficiency of Solutions in Fuzzy Mathematical Programming Problems, Fuzzy Information and Engineering 2 (2014) 1-20.

[93] S.H. Nasseri and et al.(Invited & Editorial), Operational research, Journal of Applied Mathematics, 13 (2013) 1-3.

[92] S.H. Nasseri, A. Armand and R. Chameh, A modified technic based on newton's method for solving of unconstrained optimization problems, Journal of Operational Research and its Applications, 11(2) (2014) 1-7.

[91] Xuegang Zhou, BingYuan Cao and S.H. Nasseri, Optimality conditions for fuzzy number quadratic programming with fuzzy coefficients, Journal of Applied Mathematics, 14 (2014) 1-8.

[90] S.H. Nasseri and Z. Alizadeh, Duality theory for fuzzy geometric programming, Journal of Mathematics and Computer Sciences, 9 (2014) 451-455.

[89] S.H. Nasseri, O. Gholami and A. Ebrahimnejad, On ranking decision making units using relative similar units in data envelopment analysis, International Journal of Applied Decision Sciences, 7(4) (2014) 424-436.

[88] S.H. Nasseri and Z. Alizadeh, A new method for solving geometric programming problem with fuzzy parameters, Journal of Operational Research and it's Applications, 11(1) (2014) 47-55.

[87] S.H. Nasseri and Z. Alizadeh, Optimized solution of a two-bar truss nonlinear problem using fuzzy geometric programming, Journal of Nonlinear Analysis and Applications, 11 (2014) 1-9.

[86] E. Behmanesh and S.H. Nasseri, An interactive method based on defuzzification for solving multi-objective transportation problem, Journal of Operational Research and it's Applications, 10(3) (2013) 25-39.

[85] S.H. Nasseri, R. Chameh and E. Behmanesh, Some new results on semi fully fuzzy linear programming problems, Caspian Journal of Mathematical Sciences, 2(1), 2013, 109-116.

[84] S.H. Nasseri, M.M. Zadeh, M. Kardost and E. Behmanesh, Ranking fuzzy quantities based on the angle of the reference functions, Applied Mathematical Modelling, 37(22) (2013) 9230-9241.

[83] S.H. Nasseri, F. Khalili, N. Taghi-Nezhad and S.M. Mortezania, A novel approach for solving fully fuzzy linear programming problems using membership function concepts, Annals of Fuzzy Mathematics and Informatics, 7(3) (2014) 355-368.

[82] S.H. Nasseri and E. Behmanesh, Linear programming with triangular fuzzy numbers: A case study in a finance and credit institute, Fuzzy Information and Engineering, 3 (2013) 295-315.

[81] A. Ebrahimnejad and S.H. Nasseri, Linear programmes with trapezoidal fuzzy numbers: a duality approach, International Journal of Mathematics in Operational Research, 13(1) (2012) 67-89.

[80] A. Ebrahimnejad and S.H. Nasseri, A dual simplex method for bounded linear programmes with fuzzy numbers, International Journal of Mathematics in Operational Research, 2(6) (2010) 762-779.

[79] S.H. Nasseri, E. Behmanesh, F. Taleshian, M. Abdolalipour and N.A. Taghinezhad, Fully fuzzy linear programming with inequality constraints, International Journal of Industrial Mathematics, 5(4) (2013), 309-316.

[78] S.H. Nasseri, R. Chameh and M. Gholami, Overdetermined linear system of equations with trapezoidal fuzzy numbers, Annals of Fuzzy Mathematics and Informatics, 7(3) (2014) 463-471.

[77] S.H. Nasseri and Z. Alizadeh, Optimal design of a welded beam using geometric program, Archives Des Sciences, 65(8) (2012) 571-577.

[76] S.H. Nasseri, Z. Alizadeh and F. Taleshian, Optimized solution of pressure vessel design using geometric, The Journal of Mathematics and Computer Sciences, 4(3) (2012) 344-349.

[75] A. Ebrahimnejad, S.H. Nasseri and S.M. Mansourzadeh, Modified bounded dual network simplex algorithm for solving minimum cost flow problem with fuzzy costs based on ranking functions, Journal of Intelligent and Fuzzy Systems, 23 (2012) 1-8.

[74] A. Ebrahimnejad, S.H. Nasseri and F. Hosseinzadeh-Lotfi, BOUNDED LINEAR PROGRAMS WITH TRAPEZOIDAL FUZZY NUMBERS, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), 18(3) (2010) 269-286.

[73] S.H. Nasseri, F. Taleshian, Z. Alizadeh and J. Vahidi, A new method for Ordering fuzzy number, The Journal of Mathematics and Computer Sciences, 4(3) (2012) 283-294.

[72] H. Attari, S.H. Nasseri, S. Chitgar and J. Vahidi, A New Approach to Find All Solutions of Fuzzy Nonlinear Equations, The Journal of Mathematics and Computer Science, 4(1) (2012) 25-31.

[71] S.H. Nasseri and A. Ebrahimnejad, A new approach to duality in fuzzy linear programming, Fuzzy Engineering and Operations Research, 147 (2012) 17-29.

[70] S.H. Nasseri and, S. Chitgar, Fuzzy linear programming and it's application for a constructive proof of a fuzzy version of Farkas lemma, International Journal of Applied Operational Research, 2(1) (2012) 35-40.

[69] S.H. Nasseri, E. Behmanesh, P. Faraji and N.F. Shahabi, Semi-infinite programming to solve linear programming with triangular fuzzy coefficients, Annals in Fuzzy Mathematics and Informatics, 6(1) (2013) 213-226.

[68] S.H. Nasseri, Z. Alizadeh and B. Khabiri, Initial Basic solution for the fuzzy primal simplex algorithm using a two phase method, Fuzzy Engineering and Operations Research, 147 (2012) 3-15.

[67] S.H. Nasseri, F. Taleshian, E. Behmanesh and M. Sohrabi, A QR-decomposition of the mean value matrix of the coefficient matrix for solving the fully fuzzy linear system, International Journal of Applied Mathematics, 25(4)(2012) 473-480.

[66] A. Ebrahimnejad, S.H. Nasseri and M. Mansourzadeh, Bounded Primal Simplex Algorithm for Bounded Linear Programming with Fuzzy Cost Coefficients, International Journal of Operations Research and Information Systems, 2(1) (2011) 96-120.

[65] S.H. Nasseri and Z. Alizadeh, Solving Linear Programming Problem with Fuzzy Right Hand Sides: A Penalty Method, The Journal of Mathematics and Computer Science, 3(3) (2011) 318-328.

[64] S.H. Nasseri and A. Ebrahimnejad, Extension of network primal simplex algorithm for solving minimum cost flow problem with fuzzy costs based on ranking functions, Annals of Fuzzy Mathematics and Informatics, 4 (2012) 9-24.

[63] S.H. Nasseri and M. Gholami, Linear System of Equations with Trapezoidal Fuzzy Numbers, The Journal of Mathematics and Computer Science, 3(1) (2011) 71-79.

[62] S.H. Nasseri and M.H. Khaviari, Solving TSP by Considering Processing Time: Meta-Heuristics and Fuzzy Approaches, Fuzzy Information and Engineering, 4 (2011) 359-378.

[61] D. Darvishi, A.Teimouri and S.H. Nasseri, Application of Fuzzy Optimization in Diet Formulation, The Journal of Mathematics and Computer Science, 2(3) (2011) 459-468.

[60] S.H. Nasseri, E. Behmanesh and M. Sohrabi, A new method for system of fully fuzzy linear equations based on a certain decomposition of its coefficient matrix, Annals of Fuzzy Mathematics and Informatics, 6(1) (2013) 135-140.

[59] S.H. Nasseri, H. Attari and A. Ebrahimnejad, Revised simplex method and its application for solving fuzzy linear programming problems, European Journal of Industrial Engineering, 6(3) (2012) 259-280.

[58] N. Shoja, S.H. Nasseri and H.R. Faraji, Performance Management Efficiency Analysis Basis on Efficient and Inefficient in DEA: Case study, selected Branches of Iran Melli Bank, Quarterly Scientific Journal of Management, 7(18) (2010) 1-8.

[57] S.H. Nasseri and A. Ebrahimnejad, Sensitivity analysis on linear programming problems with trapezoidal fuzzy variables , International Journal of Operations Research and Information Systems, 2(2) (2011) 22-39.

[56] S.H. Nasseri and M. Sohrabi, Hadi's Method and It's Advantage in Ranking Fuzzy Numbers, AJBAS, 4(10) (2010) 4630-4637.

[55] A. Ebrahimnejad and S.H. Nasseri, Linear programs with trapezoidal fuzzy numbers: a duality approach, International Journal of Operational Research (IJOR), 13(1) (2012) 67-89.

[54] S.H. Nasseri and M. Sohrabi, GRAM-SCHMIDT APPROACH FOR LINEAR SYSTEM OF EQUATIONS WITH FUZZY PARAMETERS, The Journal of Mathematics and Computer Science, 1(2)(2010) 80-89.

[53] S.H. Nasseri and N. Mahdavi-Amiri, Some Duality Results on Linear Programming Problems with Symmetric Fuzzy Numbers, Fuzzy Information and Engineering, 1 (2009) 59-66.

[52] A. Ebrahimnejad and S.H. Nasseri, Using Complementary Slackness Property to Solve Linear Programming with Fuzzy Parameters, Fuzzy Information and Engineering, 3 (2009) 233-245.

[51] A. Ebrahimnejad, S.H. Nasseri and F. Zahmatkesh, Numerical advantage of the implicit Gauss method in comparison with Adomian decomposition for solving linear systems with uncertainty parameters, World Applied Sciences Journal, 11(5) (2010) 536-540.

[50] S.H. Nasseri and Sh. Mizuno, A new method for ranking triangular fuzzy numbers, Iranian Journal of Optimization 4 (2010) 211-222.

[49] S.H. Nasseri and F. Zahmatkesh, Huang method for solving fully fuzzy linear system of equations, The Journal of Mathematics and Computer Science, 1(1) (2010) 1-5.

[48] S.H. Nasseri and M. Sohrabi, Solving fully fuzzy linear systems by using a certain decomposition of the coefficient matrix, International Journal of Applied Mathematics, 23(4) (2010) 629-637.

[47] S.H. Nasseri, M. Abdi and B. Khabiri, An application of fuzzy linear system of equations in economic sciences, Australian Journal of Basic and Applied Sciences, 5(7): 7-14, 2011

[46] S.H. Nasseri and M. Arab, A constructive proof for Farkas lemma with trapezoidal fuzzy numbers, International Journal of Mathematics and Computation, Vol. 8, No.10 (2010) 88-94.

[45] S.H. Nasseri, E. Ehsani and N. Kazemi, Determining the optimal order Quantity in multi-items's EOQ model with backorder, Australian Journal of Basic and Applied Sciences, Vol. 5, No. 7 (2011) 863-873.

[44] S.H. Nasseri and H. Attari, Chebyshev Acceleration Technique for Solving Fuzzy Linear Systems, Iranian Journal of Optimization, 1 (2009) 291-301

[43] S.H. Nasseri, A. Ebrahimnejad and S. Mizuno Duality in Fuzzy Linear Programming with Symmetric Trapezoidal Numbers, Applications and Applied Mathematics, 5(10) (2010) 1467 - 1482.

[42] S.H. Nasseri and F. Zahmatkesh, Huang method for solving fully fuzzy linear system of equations, Journal of Mathematics and Computer Sciences, 1 (2010) 1-5.

[41] S.H. Nasseri and B. Khabiri, A revised simplex algorithm for fuzzy number linear programming problems using linear ranking functions, International Journal of Mathematics and Computation, Vol.8, No.10 (2010) 114-126.

[40] S.H. Nasseri, QR decomposition for solving fully fuzzy linear system of equations, Modern Methods in Analysis and its Applications, 1 (2010) 315-319.

[39] S.H. Nasseri and M. Sohrabi, Householder method for solving fully fuzzy linear systems, International Journal of Applied Mathematics, 23(3) (2010) 479-489..

[38] S.H. Nasseri, H. Jafari and M. Sohrabi, An algorithm for solving a system of linear ordinary differential equations, International Journal of Applied Mathematics, Vol. 23, No. 3 (2010) 445-455.

[37] S.H. Nasseri and M. Sohrabi, Ranking Fuzzy Numbers by Using Radius of Gyration, Australian Journal of Basic and Applied Sciences 4 (2010) 55-64.

[36] S.H. Nasseri and M. Sohrabi, Solving fuzzy linear programming by using revised Tsao's method, AJBAS, 4(10) (2010) 4592-4600.

[35] S.H. Nasseri and et al., Fuzzy Quadratic Programming Problem, Caspian Journal of Mathematical Sciences, (2013), to appear.

[34] S.H. Nasseri, Ranking trapezoidal fuzzy numbers by using Hadi method, Australian Journal of Basic and Applied Sciences, 4(8) (2010) 3519-3525.

[33] S.H. Nasseri, Quadratic Programming with Fuzzy Numbers: A Linear Ranking Method, Australian Journal of Basic and Applied Sciences, 4(8) (2010) 3513-3518.

[32] S.H. Nasseri and M. Sohrabi, A decomposition of the fuzzy matrices and its application for solving the fully fuzzy linear system of equations, ICASTOR Journal of Mathematical Sciences, 4(1) (2010) 13-17.

[31] S.H. Nasseri and B. Khabiri, Revised fuzzy simplex algorithm for linear programming problem with fuzzy variables using linear ranking functions, International Journal of Mathematics and Computation, 6 (2010) 44-54.

[30] S.H. Nasseri and A. Ebrahimnejad, A fuzzy primal simplex algorithm and its application for solving the flexible linear programming problems, European Journal of Industrial Engineering, 4(3) (2010) 372-389.

[29] A. Ebrahimnejad and S.H. Nasseri, A fuzzy dual simplex method for fuzzy number linear programming problems, Advances in Fuzzy Sets and Systems 5(2) (2010) 81-95.

[28] A. Ebrahimnejad, S.H. Nasseri, F. Hosseinzadeh Lotfi and M. Soltanifar, A primal- dual method for linear programming problems with fuzzy variables, European Journal of Industrial Engineering, 4(2) (2010) 189-209.

[27] M. Matinfar, S. H. Nasseri and M. Alemi, A new method for solving the rectangular fuzzy linear system of equations based on Greville 's algorithm, Applied Mathematical Sciences, Vol. 3, No. 2 (2009) 75 - 84.

[26] S.H. Nasseri and M. Sohrabi, Solving fuzzy linear systems: based on the degree of membership, International Journal of Applied Mathematics, Vol. 22, No. 1 (2009) 89-101.

[25] M. Matinfar, S.H. Nasseri, M. Ghanbari and H. Abdollahi, Numerical solution of linear fuzzy Fredholm Integro-Differential equations by Adomian decomposition method, International Journal of Applied Mathematics, 22 (2009) 677-688.

[24] S.H. Nasseri, M. Matinfar and Z. Kheiri, Greville's method for the fully fuzzy linear system of equations, Advances in Fuzzy Sets and Systems, Vol.4, No.3 (2009) 301-311.

[23] S.H. Nasseri and M. Sohrabi, Cholesky decomposition for solving the fully fuzzy linear system of equations, International Journal of Applied Mathematics, 22 (2009) 689-696.

[22] H. Salehi Fathabadi, M. Soltanifar, A. Ebrahimnejad and S.H. Nasseri, Determining all minimal paths of network, Australian Journal of Basic and Applied Sciences, 3(4) (2009) 3771-3777.

[21] N. Mahdavi-Amiri, S.H. Nasseri and A. Yazdani, Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems, Iranian Journal of Operational Research, 2 (2009) 68-84.

[20] S.H. Nasseri and F. Zahmatkesh, The preference of the modified Huang method for solving fully fuzzy linear system of equations, International Journal of Applied Mathematics, 22 (2009) 697-715.

[19] S.H. Nasseri, M. Matinfar and M. Sohrabi, QR-decomposition method for solving fuzzy system of linear equations, International Journal of Mathematics and Computation, 4 (2009) 129-136.

[18] M. Matinfar, S. H. Nasseri and Z. Kheiri, Solving the rectangular fuzzy linear system of equations using \alphaQ\betaRï؟½s method, Far East Journal of Mathematical Education, 3(3) (2009) 213-222.

[17] S.H. Nasseri, Fuzzy linear systems: a decomposition method and some new results, Journal of Applied Mathematics, 5 (2008) 35-42

[16] S.H. Nasseri, Simplex Methods for Fuzzy Linear Programming Problems (in Persian), Applied Mathematics Journal, 13 (2008) 67-76.

[15] S.H. Nasseri, A new method for solving fuzzy linear programming problems by solving linear programming, Applied Mathematical Sciences Journal, 50 (2008) 2473-2480.

[14] S.H. Nasseri, Solving fuzzy linear system of equations by use of the matrix decomposition, International Journal of Applied Mathematics, Vol. 21, No. 3 (2008) 435-445.

[13] S.H. Nasseri, M. Sohrabi and E. Ardil, Solving fully fuzzy linear systems by use of a certain decomposition of the coefficient matrix, International Journal of Computational and Mathematical Sciences, 2 (2008) 140-142.

[12] S.H. Nasseri, Fuzzy Numbers: Positive and Nonnegative, International Mathematical Forum, Vol. 3, No. 36 (2008) 1777 - 1780.

[11] M. Matinfar, S.H. Nasseri and M. Sohrabi, Solving fuzzy linear system of equations by using Householder decomposition method, Applied Mathematical Sciences, Vol. 2, No. 52 (2008) 2569 - 2575.

[10] S.H. Nasseri, Fuzzy nonlinear optimization, The Journal of Nonlinear Analysis and its Applications, Vol. 1, No. 4 (2008) 230-235.

[9] N. Mahdavi-Amiri and S.H. Nasseri, Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables, Fuzzy Sets and Systems, 158 (2007) 1961-1978.

[8] S.H. Nasseri and M. Khorramizadeh, A new method for solving fuzzy linear system, International Journal of Applied Mathematics, Vol. 20, No. 4 (2007) 507-516.

[7] N. Mahdavi-Amiri and S.H. Nasseri, Duality in fuzzy number linear programming by use of a certain linear ranking function, Applied Mathematics and Computations, 180 (2006) 206-216.

[6] S. Babaee, R. Ghanbari and S.H. Nasseri, Solving bus terminal location problem using genetic algorithm, Transactions on Engineering, Computing and Technology, 14 (2006) 90-93.

[5] S.M. Khalessizadeh, R. Zaefarian, S.H. Nasseri and E. Ardil, Using genetic algorithm for identity topic based on concept distribution, Transactions on Engineering, Computing and Technology, 13 (2006) 144-147.

[4] N. Mahdavi-Amiri and S.H. Nasseri, A new method for solving fuzzy variable linear programming problems, ICNAAM Journals, Wiley-VCH, Berlin, (2005) 406-412.

[3] S.H. Nasseri, E. Ardil, A. Yazdani and R. Zaefarian, Simplex method for solving linear programming problems with fuzzy numbers, Transactions on Engineering, Computing and Technology, 10 (2005) 284-288.

[2] S.H. Nasseri and E. Ardil, Simplex method for fuzzy variable linear programming problems, Transactions on Engineering, Computing and Technology, 8 (2005) 198-202.

[1] N. Mahdavi-Amiri and S.H. Nasseri, Duality in fuzzy variable linear programming, Transactions on Engineering, Computing and Technology, 6 (2005) 115-118.