© Springer Science + Business Media, LLC 2008. Multi-objective linear programming (MOLP) techniques are widely used to model many organizational decision problems. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in some parameters of an established MOLP model that is also called a fuzzy MOLP (FMOLP) problem. This chapter first reviews the development of fuzzy multi-objective decision-making (FMODM) models and approaches and then proposes an effective way for an optimal solution in the FMOLP problem. By introducing an adjustable satisfactory degree α, a new concept of FMOLP and a solution transformation theorem are given in this chapter. This chapter thus develops an interactive fuzzy goal multi-obje...
In this paper, a method is proposed for solving Fuzzy Multi-Objective Linear Programming problems (F...
The Multi-Period Multi-Product (MPMP) production planning, as a well known problem in literature, at...
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations r...
Multiple conflicting objectives in many decision making problems can be well described by multiple o...
Making numerous business decisions in complex decentralized organizations can be presented as a ML M...
In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
An interactive fuzzy multiple objective optimization method was proposed for solving fuzzy multiple ...
Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. Whe...
University of Technology, Sydney. Faculty of Information Technology.NO FULL TEXT AVAILABLE. Access i...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
AbstractGoal programming as a well known technique has been widely used for solving multi objective ...
Goal Programming (GP) is one of the most important tech-niques to solve Multiple Objective Programmi...
In this paper, a new fuzzy linear programming (FLP)-based methodology using a specific membership fu...
In this paper, a method is proposed for solving Fuzzy Multi-Objective Linear Programming problems (F...
The Multi-Period Multi-Product (MPMP) production planning, as a well known problem in literature, at...
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations r...
Multiple conflicting objectives in many decision making problems can be well described by multiple o...
Making numerous business decisions in complex decentralized organizations can be presented as a ML M...
In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
An interactive fuzzy multiple objective optimization method was proposed for solving fuzzy multiple ...
Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. Whe...
University of Technology, Sydney. Faculty of Information Technology.NO FULL TEXT AVAILABLE. Access i...
This paper deals with multi-objective decision-making problem with fuzzy parameters under a group en...
AbstractGoal programming as a well known technique has been widely used for solving multi objective ...
Goal Programming (GP) is one of the most important tech-niques to solve Multiple Objective Programmi...
In this paper, a new fuzzy linear programming (FLP)-based methodology using a specific membership fu...
In this paper, a method is proposed for solving Fuzzy Multi-Objective Linear Programming problems (F...
The Multi-Period Multi-Product (MPMP) production planning, as a well known problem in literature, at...
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations r...