R. E. Bellman and L. A. Zadeh, Decision making in fuzzy environment, Management Science,
17 (1970), 141-164.
 V. J. Bowman, On the relationship of the Tchebycheff norm and the efficient frontier of multicriteria
objectives, In: H. Thiriez and S. Zionts (Eds.), Multiple Criteria Decision Making,
Springer-Verlag, Berlin, 1976, 76-86.
 J. M. Cadenas and J. L. Verdegay, A primer on fuzzy optimization models and methods,
Iranian Journal of Fuzzy Systems, 3(1) (2006), 1-21.
 M. Delgado, J. L. Verdegay and M. A. Vila, A general model for fuzzy linear programming,
Fuzzy Sets and Systems, 29 (1989), 21-29.
 S. C. Fang and C. F. Hu, Linear programming with fuzzy coefficients in constraints, Computers
and Mathematics with Applications, 37 (1999), 63-76.
 S. M. Guu and Y. K. Wu, Two-phase approach for solving the fuzzy linear programming
problems, Fuzzy Sets and Systems, 107 (1999), 191-195.
 U. Keymak and J. M. Sousa, Weighting of constraint in fuzzy optimization, Proceedings of
the 10th IEEE International Conference on Fuzzy Systems, 3 (2001), 1131-1134.
 K. Kosaka, H. Nonaka, M. F. Kawaguchi and T. Datet, The application of fuzzy linear
programming to flow control of crossing gate network, Proceeding of the 9th Fuzzy System
Symposium: Sapporo, (1993), 189-182.
 Y. J. Lai and C. L. Hwang, Fuzzy mathematical programming, Springer, Berlin, 1992.
 F. Li, M. Liu, C. Wu and S. Lou, Fuzzy optimization problems based on inequality degree,
Proceedings of the First International Conference on Machine Learning and Cybernetics:
Beijing, (2002), 1566-1570.
 X. Q. Li, B. Zhang and H. Li, Computing efficient solutions to fuzzy multiple objective linear
programming problems, Fuzzy Sets and Systems, 157 (2006), 1328-1332.
 N. Mahdavi-Amiri and S. H. Nasseri, Duality results and a dual simplex method for linear
programming problems with trapezoidal variables, Fuzzy Sets and Systems, 158 (2007), 1961-
 H. R. Maleki, M. Tata and M. Mashinchi, Linear programming with fuzzy variables, Fuzzy
Sets and Systems, 109 (2000), 21-33.
 Y. Nakahara, User oriented ranking criteria and its application to fuzzy mathematical programming
problems, Fuzzy Sets and Systems, 94 (1998), 275-286.
 S. Nakamura, K. Kosakat, M. F. Kawaguchi, H. Nonaka and T. Datet, Fuzzy linear programming
with grade of satisfaction in each constraint, Proceedings of the Joint Fourth IEEE
International Conference on Fuzzy Systems and the Second International Fuzzy Engineering
Symposium, (1995), 781-786.
 J. R. Ramik and H. Rommelfanger, Fuzzy mathematical programming based on some new
inequality relations, Fuzzy Sets and Systems, 81 (1996), 77-87.
 H. Rommelfanger, Fuzzy linear programming and applications, European Journal of Operational
Research, 92 (1996), 512-527.
 M. Sakawa, Fuzzy sets and interactive multiobjective optimization, Plenum Press: New York
and London, 1993.
 H. Tanaka, T. Okuda and K. Asai, On fuzzy mathematical programming, Journal of Cybernetics,
3 (1974), 37-46.
 J. L. Verdegay, Fuzzy mathematical programming, In : M. M. Gupta and E. Sanchez (Eds.),
Approximate Reasoning in Decision Analysis, North-Holland: Amsterdam, 1982, 231-236.
 B. Werners, An interactive fuzzy programming system, Fuzzy Sets and Systems, 23 (1987),
 B. Werners, Interactive multiple objective programming subject to flexible constraints, European
Journal of Operational Research, 31 (1987), 342-349.
 B. Werners, Aggregation models in mathematical programming, In: G. Mitra (Ed.), Mathematical
Models for Decision Support, Springer, Berlin, (1988), 295-305.
 Y. K. Wu, On the manpower allocation within matrix organization: a fuzzy linear programming
approach, European Journal of Operational Research, 183(1) (2007), 384-393.
 L. Xinwang, Measuring the satisfaction of constraints in fuzzy linear programming, Fuzzy
Sets and Systems, 122 (2001), 263-275.
 L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353.
 H. J. Zimmermann, Description and optimization of fuzzy systems, International Journal of
General Systems, 2 (1976), 209-215.