Cheng, H.F., Huang, W.L., Zhon, Q. and Cai, J. (2013) Solving Fuzzy Multiobjective Linear Programming Problems Using Deviation Degree Measures and Max-Min Method. Applied Mathematical Modeling, 73, 6855-6869.
http://dx.doi.org/10.1016/j.apm.2013.01.048

has been cited by the following article:

• TITLE: Goal Programming for Solving Fractional Programming Problem in Fuzzy Environment

  AUTHORS: Anil Kumar Nishad, Shiva Raj Singh

  KEYWORDS: Fuzzy Sets, Trapezoidal Fuzzy Number (TFN), Multi-Objective Linear Programming Problem (MOLPP), Multi-Objective Linear Fractional Programming Problem (MOLFPP)

  JOURNAL NAME: Applied Mathematics, Vol.6 No.14, December 31, 2015

  ABSTRACT: This paper is comprised of the modeling and optimization of a multi objective linear programming problem in fuzzy environment in which some goals are fractional and some are linear. Here, we present a new approach for its solution by using α-cut of fuzzy numbers. In this proposed method, we first define membership function for goals by introducing non-deviational variables for each of objective functions with effective use of α-cut intervals to deal with uncertain parameters being represented by fuzzy numbers. In the optimization process the under deviational variables are minimized for finding a most satisfactory solution. The developed method has also been implemented on a problem for illustration and comparison.