Abstract—After Zadeh and Bellman explained how to optimize a function under fuzzy constraints, there have been many successful applications of this optimization. However, in many practical situations, it turns out to be more efficient to precisiate the objective function before performing optimization. In this paper, we provide a possible explanation for this empirical fact. Keywords—optimization under uncertainty, fuzzy uncertainty, interval uncertainty, precisiation I. FORMULATION OF THE PROBLEM Objectives are usually imprecise (fuzzy). In many real-life situations, our objectives are imprecise (fuzzy). A company may want to have a good growth rate, an excellent level of customer satisfaction, etc. A university program may seek excellent ...
Many practical optimization problems are characterized by some flexibility in the problem constraint...
Uncertainty in the parameters of an optimization problem has a large impact on the outcome of the op...
In many cases, we need to select the best of the possible alternatives, but we do not know for sure ...
a function under fuzzy constraints, there have been many successful applications of this optimizatio...
a function under fuzzy constraints, there have been many successful applications of this optimizatio...
After Zadeh and Bellman explained how to optimize a function under fuzzy constraints, there have bee...
1 Introduction Optimization and decision making are important. In many industrial engineering proble...
In many industrial engineering problems, we must select a design, select parameters of a process, or...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Th...
The semantic and algorithmic differences between fuzzy and possibilistic optimization methods are pr...
We consider constrained optimisation problems with a real-valued, bounded objective function on an a...
Covering in detail both theoretical and practical perspectives, this book is a self-contained and sy...
We consider constrained optimisation problems with a real-valued, bounded objective function on an a...
This paper proposes a method to solve a mathematical programming problem under the conditions of unc...
A new concept of the optimization problem under uncertainty is proposed and treated in the paper. It...
Many practical optimization problems are characterized by some flexibility in the problem constraint...
Uncertainty in the parameters of an optimization problem has a large impact on the outcome of the op...
In many cases, we need to select the best of the possible alternatives, but we do not know for sure ...
a function under fuzzy constraints, there have been many successful applications of this optimizatio...
a function under fuzzy constraints, there have been many successful applications of this optimizatio...
After Zadeh and Bellman explained how to optimize a function under fuzzy constraints, there have bee...
1 Introduction Optimization and decision making are important. In many industrial engineering proble...
In many industrial engineering problems, we must select a design, select parameters of a process, or...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Th...
The semantic and algorithmic differences between fuzzy and possibilistic optimization methods are pr...
We consider constrained optimisation problems with a real-valued, bounded objective function on an a...
Covering in detail both theoretical and practical perspectives, this book is a self-contained and sy...
We consider constrained optimisation problems with a real-valued, bounded objective function on an a...
This paper proposes a method to solve a mathematical programming problem under the conditions of unc...
A new concept of the optimization problem under uncertainty is proposed and treated in the paper. It...
Many practical optimization problems are characterized by some flexibility in the problem constraint...
Uncertainty in the parameters of an optimization problem has a large impact on the outcome of the op...
In many cases, we need to select the best of the possible alternatives, but we do not know for sure ...