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1. Baykasoglu, A. and Gocken, T., (2010) “Multi-objective aggregate production planning with fuzzy parameters,” Advances in Engineering Software, 41, 1124-1131. 2. Bellman, R.E., Zadeh, L.A., (1970) “Decision-making in a fuzzy environment,” Management Science, 17, 141-164. 3. Carter, C.R., Ellram, L.M., (1998) “Reverse Logistics: A review of the literature and framework for future investigation,” Journal of Business Logistics, 19(1), 85-102. 4. Chang, N.B., Wen, C.G., and Chen, Y.L., (1997) “A fuzzy multi-objective programming approach for optimal management of the reservoir watershed,” European Journal of Operational Research, 99, 289-302. 5. Chung, C.J. and Wee, H.M., (2008) “Green-component life-cycle value on design and reverse manufacturing in semi-closed chain,” International Journal of Production Economics, 113, 528-545. 6. Chung, C.J., and Wee, H.M., (2011) “Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system,” International Journal of Production Economics, 129, 195-203. 7. Douglas N Lambert, George L Freeland, Daniel Jean Stanley, Donald J.P Swift, (1981) “The Hudson Shelf Valley: Its role in shelf sediment transport” Marine Geology, 42, 399-427.
8. Fleischmann, M., Krikke, H.R. Dekker, R. and Flapper, S.P., (2000) “A characterization of Logistics networks for product recovery,” Omega, 28(6), 653-666. 9. Goggin, K., and Browne, J., (2000) “Towards a taxonomy of resource recovery from end-of-life products,” Computers in Industry, 42(2), 171-191. 10. Guide Jr., V.D.R. and Srecastava, R., (1997) “An evaluation of order release strategies in a remanufacturing environment,” Computer Operations Research, 24(1), 37-47. 11. Javadi, B., Saidi-Mehrabad, M., Haji, A., and Mahdavi, R., (2008) “No-wait flow shop scheduling using fuzzy multi-objective linear programming,” Journal of The Franklin Institute, 345, 452-467. 12. Konstantaras, I., Skouri, K., and Jaber M.Y., (2010) “Lot sizing for a recoverable product with inspection and sorting,” Computers & Industrial Engineering, 58, 452-462. 13. Lai, Y. J., and Hwang, C. L., (1992) “A new approach to some possibilistic linear programming problems,” Fuzzy Sets and Systems, 49, 121-133. 14. Leberling, H., (1981) “On finding compromise solutions in multicriteria problems using the fuzzy min-operator,” Fuzzy Sets and Systems, 6(2), 105-118. 15. Liang, T.F., (2006) “Distribution planning decisions using interactive fuzzy multi-objective linear programming,” Fuzzy Sets and Systems, 157, 1303-1316. 16. Liang, T.F., (2007) “Application of interactive possibilistic linear programming to aggregate production planning with multiple imprecise objectives,” Production Planning & Control, 18(7), 548-560. 17. Liang, T.F., (2008) “Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain.” Computers & Industrial Engineering, 55, 676-694. 18. Liang, T.F., (2009) “Fuzzy multi-objective project management decisions using two-phase fuzzy goal programming approach,” Computers & Industrial Engineering, 57, 1407-1416. 19. Liang, T.F., (2010) “Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments,” Expert Systems with Applications, 37, 8499-8507. 20. Liang, T.F., (2011) “Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains,” Information Sciences, 181, 842-854. 21. Liang, T.F., and Cheng, H.W., (2009) “Application of fuzzy sets to manufacturing/distribution planning decisions with multi-product and multi-time period in supply chains,” Expert Systems with Applications, 36, 3367-3377. 22. Luhandjula, M. K., (1982) “Compensatory operators in fuzzy linear programming with multiple objectives,” Fuzzy Sets and Systems, 8(3), 245-252. 23. Ozgen, D., Gulsun, B., (2014) “Combining possibilistic linear programming and fuzzy AHP for solving the multi-objective capacitated multi-facility location problem,” Information Sciences, 268, 185-201. 24. Paksoy, T., Pehlivan, N.Y., (2012) “A fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functions,” Journal of the Franklin Institute, 349, 93-109 25. Paksoy, T., Pehlivan, N.Y., Ozceylan, E., (2012) “Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer,” Applied Mathematical Modelling, 36, 2762-2776. 26. Peidro, D., Vasant, P., (2011) “Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach,” Applied Soft Computing, 11, 2656-2663. 27. Pishvaee, M.S., Razmi, J., (2012) “Environmental supply chain network design using multi-objective fuzzy mathematical programming,” Applied Mathematical Modelling, 36, 3433-3446. 28. Poles, R., (2013) “System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies,” International Journal of Production Economics, 144(1), 189-199. 29. Shanker, R., Vrat, P., (1998) “Post design Modeling for Cellular Manufacturing System with Cost Uncertainty,” International Journal of Production Economics, 55, 97-109. 30. Slowinski, R., 1986, “A multicriteria fuzzy linear programming method for water supply system development planning,” Fuzzy Sets and Systems, 19, 217–237. 31. Su, T.S., (2014) “Fuzzy multi-objective recoverable remanufacturing planning decisions involving multiple components and multiple machines,” Computers and Industrial Engineering, 72, 72-83. 32. Tan, R.R., Ballacillo, J.A.B. Aviso, K.B. and Culaba, A. B., (2009) “A fuzzy multiple-objective approach to the optimization of bioenergy system footprints,” Chemical Engineering Research and Design, 87, 1162-1170. 33. Tavakkoli-Moghaddam, R., Javadi, B., Jolai, F. and Ghodratnama, A., (2010) “The use of a fuzzy multi objective linear programming for solving a multi-objective single –machine scheduling problem,” Applied Soft Computing, 10, 919-925. 34. Teng, J.Y., Tzeng, G.H., (1996) “Fuzzy multicriteria ranking of urban transportation investment alternatives,” Transportation Planning and Technology, 20, 15-31. 35. Torabi, S.A. and Hassini, E., (2008) “An interactive possibilistic programming approach for multiple objective supply chain master planning,” Fuzzy Sets and Systems, 159, 193-214. 36. Torabi, S.A. and Hassini, E., (2008) “An interactive possibilistic programming approach for multiple objective supply chain master planning,” Fuzzy Sets and Systems, 159, 193-214. 37. Tuzkaya, R.U.,Özgen, D., Önüt, S., Gülsün, B., and Tuzkaya, G., (2008) “A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems,” Information Sciences, 178, 485-500. 38. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F., (2013) “Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model,” Applied Mathematical Modelling, 37, 3254-3268. 39. Wang, R. C. and Liang, T. F., (2005) “Applying possibilistic linear programming to aggregate production planning,” International Journal of Production Economics, 98, 328-341. 40. Wang, R.C., Liang T.F., 2004, “Application of fuzzy multi-objective linear programming to aggregate production planning,” Computers & Industrial Engineering, 46, 17–41. 41. Yalcın, G.D., Erginel, N., (2015) “Fuzzy multi-objective programming algorithm for vehicle routing problems with backhauls,” Expert Systems with Applications, 42, 5632-5644. 42. Yang, M.F., Lin, Y., (2013) “Applying fuzzy multi-objective linear programming to project management decisions with the interactive two-phase method,” Computers & Industrial Engineering, 66, 1061-1069. 43. Zadeh, L. A., (1978) “Fuzzy sets as a basis for a theory of possibility,” Fuzzy Sets and Systems, 1, 3-28. 44. Zadeh, L.A., (1965) “Fuzzy set,” Information and Control, 8, 38-53. 45. Zadeh, L.A., and Bellman, R.E., (1970) “Decision-making in a fuzzy environment,” Management Science, 17, 141-164. 46. Zahiri, B., Tavakkoli-Moghaddam, R., Pishvaee, M.S., (2014) “A robust possibilistic programming approach to multi-period location–allocation of organ transplant centers under uncertainty,” Computers & Industrial Engineering, 74, 139-148. 47. Zimmermann, H.J., (1978) “Fuzzy programming and linear programming with several objective functions,” Fuzzy Sets and Systems, 1, 45-56.
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