Interactive Decision Making for Multiobjective 0-1 Programming Problems with Fuzzy Parameters through Genetic Algorithms

Interactive Decision Making for Multiobjective Fuzzy Random Programming Problems with Simple Recourse through a Fractile Model

In this paper, we focus on multiobjective fuzzy random programming problems with simple recourse through a fractile optimization model, in which fuzzy random variables coefficients are involved in equality constraints, and random variables coefficients are involved in the objective functions. In the proposed method, equality constraints with fuzzy random variables are defined on the basis of a ...

Interactive Fuzzy Programming for Multiobjective Two-level Nonlinear Integer Programming Problems through Genetic Algorithms

In the present paper, we consider multiobjective two-level nonlinear integer programming problems (MOTLNLIPPs) in which the decision maker (DM) at each level controls his own integer decision variables to optimize multiple objective functions. Various approaches for multi-level programming problems could exist according to situations which the DMs are placed in. In this paper, it is assumed tha...

An interactive fuzzy satisficing method for multiobjective integer programming problems through genetic algorithms

Interactive Fuzzy Decision Making for Hierarchical Multiobjective Linear Programming Problems Using Reference Membership Intervals

In this paper, we focus on hierarchical multiobjective linear programming problems where multiple decision makers in a hierarchical organization have their own multiple objective linear functions together with common linear constraints, and propose an interactive decision making method to obtain a satisfactory solution which reflects not only the hierarchical relationships between multiple deci...

Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems

In this paper, we focus on hierarchical multiobjective stochastic linear programming problems (HMOP) where multiple decision makers in a hierarchical organization have their own multiple objective linear functions together with common linear constraints. In order to deal with HMOP, a probability maximization model and a fractile optimization model are applied. By considering the conflict betwee...