Abbasi, F., Allahviranloo, T., & Abbasbandy, S. (2016). A new attitude coupled with the basic fuzzy thinking to distance between two fuzzy numbers. Iranian Journal of Fuzzy Systems, 13(6), 21-39.
Aktunc, E.A., & Tekin, E. (2018). Nurse Scheduling with Shift Preferences in a Surgical Suite Using Goal Programming. Industrial Engineering in the Industry, Springer, Cham, 23-36.
Al-Yakoob, S.M., & Sherali, H.D. (2007). Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations. Annals of Operations Research, 155(1), 119-142.
Arthur, J.L., & Ravindran, A. (1981) A multiple objective nurse scheduling model. AIIE transactions, 13(1), 55-60.
Bard, J.F., & Purnomo, H.W. (2005). Preference scheduling for nurses using column generation. European Journal of Operational Research, 164(2), 510-534.
Bard, J.F., & Purnomo, H.W. (2007). Cyclic preference scheduling of nurses using a Lagrangian-based heuristic. Journal of Scheduling, 10(1), 5-23.
Beliën, J., & Demeulemeester, E. (2008). A branch-and-price approach for integrating nurse and surgery scheduling. European Journal of Operational Research, 189(3), 652-668.
Demirbilek, M., Branke, J., & Strauss, A. (2018). Dynamically accepting and scheduling patients for home healthcare. Health Care Management Science, 5, 1-6.
Doerner, K.F., & Maniezzo, V. (2018). Metaheuristic search techniques for multi-objective and stochastic problems. Central European Journal of Operations Research, 26(2), 331-356.
El Adoly, A.A., Gheith, M., & Fors, M.N. (2018). A new formulation and solution for the nurse scheduling problem: A case study in Egypt. Alexandria Engineering Journal, 57(4), 2289-2298.
Gutjahr, W.J., & Rauner, M.S. (2007). An ACO algorithm for a dynamic regional nurse-scheduling problem in Austria. Computers & Operations Research, 34(3), 642-666.
Hertz, A., & Kobler, D. (2000). A framework for the description of evolutionary algorithms. European Journal of Operational Research, 126(1), 1-2.
Jafari, H., & Salmasi, N. (2015). Maximizing the nurses’ preferences in nurse scheduling problem: mathematical modeling and a meta-heuristic algorithm. Journal of Industrial Engineering International, 11(3), 439-458.
Jafari, H., Bateni, S., Daneshvar, P., Bateni, S., & Mahdioun, H. (2016). Fuzzy mathematical modeling approach for the nurse scheduling problem: a case study. International Journal of Fuzzy Systems, 18(2), 320-332.
Khorram, E., & Nozari, V. (2012). Multi-objective optimization with preemptive priority subject to fuzzy relation equation constraints. Iranian Journal of Fuzzy Systems, 9(3), 27-45.
Klir, G.J., & Yuan, B. (1996). Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A. Zadeh. World Scientific Publishing Co., Inc.
Li, J., & Liu, Y. (2017). Property analysis of triple implication method for approximate reasoning on atanassovs Intuitionistic Fuzzy Sets. Iranian Journal of Fuzzy Systems, 25(2), 26-34.
Lin, C.C., Hung, L.P., Liu, W.Y., & Tsai, M.C. (2018). Jointly rostering, routing, and rerostering for home health care services: A harmony search approach with genetic, saturation, inheritance, and immigrant schemes. Computers & Industrial Engineering, 115, 151-166.
Maenhout, B., & Vanhoucke, M. (2013). An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems. Omega, 41(2), 485-499.
Majumdar, J., & Bhunia, A.K. (2007). Elitist genetic algorithm for assignment problem with imprecise goal. European Journal of Operational Research, 177(2), 684-692.
Moghari, S., Zahedi, M.M., & Ameri, R. (2011). New direction in fuzzy tree automata. Iranian Journal of Fuzzy Systems, 8(5), 59-68.
Nezamabadi-Pour, H., Yazdani, S., Farsangi, M.M., & Neyestani, M. (2011). A solution to an economic dispatch problem by a fuzzy adaptive genetic algorithm. Iranian Journal of Fuzzy Systems, 8(3), 1-21.
Osogami, T., & Imai, H. (2000). Classification of various neighborhood operations for the nurse scheduling problem. International Symposium on Algorithms and Computation. Springer, Berlin, Heidelberg.
Topaloglu, S., & Selim, H. (2010). Nurse scheduling using fuzzy modeling approach. Fuzzy Sets and Systems, 161(11), 1543-1563.
Valouxis, C., Gogos, C., Goulas, G., Alefragis, P., & Housos, E. (2012). A systematic two phase approach for the nurse rostering problem. European Journal of Operational Research, 219(2), 425-433.
Werners, B.M. (1988). Aggregation models in mathematical programming. Mathematical models for decision support. Springer, Berlin, Heidelberg.
Yager, R.R. (1988). On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on systems, Man, and Cybernetics, 18(1), 183-190.
Zimmermann, H.J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy sets and systems, 1(1), 45-55.
Zimmermann, H.J., & Zysno, P. (1980). Latent connectives in human decision making. Fuzzy sets and systems, 4(1), 37-51.
Zimmermann, H.J., & Zysno, P. (1983). Decisions and evaluations by hierarchical aggregation of information. Fuzzy sets and systems, 10(1-3), 243-260.