[1]Li X, Qin Z, Yang L, and Li K, Entropy maximization model for trip distribution problem with fuzzy and random parameters, Journal of Computational and Applied Mathematics, Vol.235, 1906-1913, 2011.
[2]Li X, Qin Z, and Ralescu D, Credibilistic parameter estimation and its application in fuzzy portfolio selection, Iranian Journal of Fuzzy Systems, Vol.8, No.2, 57-65, 2011.
[3]Yang L, Gao Z, Li X, and Li K, A weighted min–max model for balanced freight train routing problem with fuzzy information, Engineering Optimization, Vol.43, No.12, 1289–1309, 2011.
[4]Li X, Ralescu D, and Tang T, Fuzzy train energy consumption minimization model and algorithm, Iranian Journal of Fuzzy Systems, Vol.8, No.4, 77-91, 2011.
[5]Yang L, Li X, and Li K, A control simulation method of high-speed trains on railway network with irregular influence, Communications in Theoretical Physics, Vol.56, No.3, 411-418, 2011.
[6]Zhai H, Liu YK, Chen W. Applying Minimum-Risk Criterion to Stochastic Hub Location Problems, Procedia Engineering 29 (2012) 2313–2321.
[7]Li X, Wong HS, and Wu S, A fuzzy minimax clustering model and its applications, Information Sciences, Vol.186, 114-125, 2012.
[8]Li X, Shou BY, and Qin ZF, An expected regret minimization portfolio selection model, European Journal of Operational Research, Vol.218, 484-492, 2012.
[9]Li X, and Liu B, Conditional chance measure and is application in hybrid logic, Journal of Multiple-Valued Logic and Soft Computing, Vol.18, No.3-4, 401-419, 2012.
[10]Li X, Chien CF, Li L, Gao ZY, and Yang LX, Energy-constraint operation strategy for high-speed railway, International Journal of Innovative Computing, Information and Control, Vol.8, No.10, 6569-6583, 2012.
[11]Yang L, Li K, Gao Z, and Li X, Optimizing trains movement on a railway network, Omega, Vol.40, No.5, 619-633, 2012.
[12]Yao K, and Li X, Uncertain alternating renewal process and its application, IEEE Transactions on Fuzzy Systems, Vol.20, No.6, 1154-1160, 2012.
[13]Yang X, Li X, Gao Z, Wang H, and Tang T, A cooperative scheduling model for timetable optimization in subway systems, IEEE Transactions on Intelligent Transportation Systems, Vol.14, No.1, 438-447, 2013.
[14]Su S, Li X, Tang T, and Gao Z, A subway train timetable optimization approach based on energy-efficient operation strategy, IEEE Transactions on Intelligent Transportation Systems, Vol.14, No.2, 883-893, 2013.
[15]Li X, Wang D, Li K, and Gao Z, A green train scheduling model and fuzzy multi-objective optimization algorithm, Applied Mathematical Modelling, Vol.37, 2063-2073, 2013.
[16]Li X, Gao Z, and Sun W, Existence of an optimal strategy for stochastic train energy-efficient operation problem, Soft Computing, Vol.17, 651-657, 2013.
[17]Li X, and Yang X, A stochastic timetable optimization model in subway systems, International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, Vol.21, Supp.1, 1-15, 2013.
[18]Li X, and Lo Hong K, Energy minimization in dynamic train scheduling and control for metro rail operations, Transportation Research Part B, Vol.70, 269-284, 2014.
[19]Li X, and Lo Hong K, An energy-efficient scheduling and speed control approach for metro rail operations, Transportation Research Part B, Vol.64, 73-89, 2014.
[20]Li X, Shou B, and Dan R, Train rescheduling with stochastic recovery time: A new track-backup approach, IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol.44, No.9, 1216-1233, 2014.
[21]Su S, Tang T, Li X, and Gao Z, Optimization of multi-train operation in a subway system, IEEE Transactions on Intelligent Transportation Systems, Vol.15, No.2, 673-684, 2014.
[22]Yang X, Ning B, Li X, and Tang T, A two-objective timetable optimization model in subway systems, IEEE Transactions on Intelligent Transportation Systems, Vol.15, No.5, 1913-1921, 2014.
[23] Li X, Chien CF, Yang LX, and Gao Z, The train fueling cost minimization problem with fuzzy fuel prices, Flexible Service and Manufacturing Journal, Vol.26, 249-267, 2014.
[24]Zhang X, and Li X, A semantic study of the first-order predicate logic with uncertainty involved, Fuzzy Optimization and Decision Making, Vol.13, 357-367, 2014.
[25]Li X, and Qin Z, Interval portfolio selection models within the framework of uncertainty theory, Economic Modelling, Vol.41, 338-344, 2014.
[26]Li X, Guo SN, Yu LA, Skewness of fuzzy numbers and its applications in portfolio selection, IEEE Transactions on Fuzzy Systems, Vol.23, No.6, 2135-2143, 2015.
[27]Li X, A numerical-integration-based simulation algorithm for expected values of strictly monotone functions of ordinary fuzzy variables, IEEE Transactions on Fuzzy Systems, Vol.23, No.4, 964-972, 2015.
[28]Yang X, Chen A, Li X, Ning B, Tang T, An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro rail systems, Transportation Research Part C: Emerging Technologies, Vol.57, 13-29, 2015.
[29]Wei MY, Li X, Yu LA, Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation, Transportation Research Part C: Emerging Technologies, Vol.57, 146-165, 2015.
[30]Wei MY, Yu LA, and Li X, A credibilistic location-routing model for hazardous materials transportation, International Journal of Intelligent Systems, Vol.30, 23-39, 2015.
[31]Yang X, Li X, Ning B, and Tang T, An optimization method for train scheduling with minimum energy consumption and travel time in metro rail system, Transportmetrica B: Transport Dynamics, Vol.3, No.2, 79-98, 2015.
[32]Xu X, Li K, and Li X, Research on passenger flow and energy consumption in a subway system with fuzzy passenger arrival rates, Journal of Rail and Rapid Transit, Vol.229, No.8, 863-874, 2015.