Linear programming with fuzzy random variable coefficients
Fuzzy Sets and Systems
On fuzzy stochastic optimization
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Information Sciences: an International Journal
A review and classification of fuzzy mathematical programs
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Computers and Industrial Engineering
Solving fractional programming problem through fuzzy goal setting and approximation
Applied Soft Computing
Interactive multiobjective fuzzy random programming through the level set-based probability model
Information Sciences: an International Journal
A class of expected value multi-objective programming problems with random rough coefficients
Mathematical and Computer Modelling: An International Journal
A class of multiobjective linear programming model with fuzzy random coefficients
Mathematical and Computer Modelling: An International Journal
On chance maximization model in fuzzy random decision systems
Mathematical and Computer Modelling: An International Journal
Sensitivity analysis in fuzzy number linear programming problems
Mathematical and Computer Modelling: An International Journal
Random fuzzy multi-objective linear programming: Optimization of possibilistic value at risk (pVaR)
Expert Systems with Applications: An International Journal
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In this paper, we deal with a multiobjective 0-1 programming problem involving fuzzyrandom variable coefficients. Introducing fuzzy goals for the objective functions, we consider the problem to maximize the degrees of possibility that the objective function values satisfy the fuzzy goals, which becomes a multiobjective stochastic 0-1 programming problem. Using the expectation model in stochastic programming, we reformulate the problem as a multiobjective 0-1 linear fractional programming problem. In order to find a satisficing solution for a decision maker, we propose an interactive satisficing method based on the reference point method and show that the problem to be solved is reduced to a mixed 0-1 programming problem.