In conventional multiobjective decision making problems, the estimation of the parameters of the model is often a problematic task. Normally they are either given by the decision maker (DM), who has imprecise information and/or expresses his considerations subjectively, or by statistical inference f
The core of multiobjective linear production programming games
β Scribed by Ichiro Nishizaki; Masatoshi Sakawa
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 814 KB
- Volume
- 82
- Category
- Article
- ISSN
- 1042-0967
No coin nor oath required. For personal study only.
β¦ Synopsis
A linear production programming problem in which multiple decisionmakers have resources and produce several kinds of products in collaboration is considered. It is formulated as a problem in which the objective function is the income obtained by selling several kinds of products, and the objective is to maximize the income under the resource constraint. The problem also includes the fair allocation (imputation) of the obtained common income. This paper discusses the linear production programming problem with multiple decisionmakers in a multiobjective environment. The multicommodity game is derived from the multiobjective production programming problem, and the nonemptiness of the core of the multicommodity game is demonstrated, based on the special property of the game. It is shown that when the multiobjective production programming problem is the primal problem, payoffs belonging to the core can be calculated from the optimal solution of the dual problem. The validity of the approach is shown by a numerical example.
π SIMILAR VOLUMES
In this paper we deal with sensitivity analysis of the Multiobjective Linear Problem. We enlarge the range of meaningful regions of weights that can be handled easily from the tolerance approach point of view. The regions that we propose are important, because they represent the information that the