An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems using a fractile criterion model
Μ. Sakawa, Hideki Katagiri, K. Kato
Abstract
Μ. Sakawa, Hideki Katagiri, K. Kato
Abstract
In this paper, we deal with a multiobjective stochastic linear programming problem using a fractile criterion model. The problem is to optimize the aspiration level for the objective function under the chance constraint with respect to the objective function. After introducing fuzzy goals, in order to obtain a satisficing solution of the decision maker, we propose an interactive fuzzy satisficing method based on the reference point method.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, we deal with a multiobjective stochastic linear programming problem using a fractile criterion model. The problem is to optimize the aspiration level for the objective function under the chance constraint with respect to the objective function. After introducing fuzzy goals, in order to obtain a satisficing solution of the decision maker, we propose an interactive fuzzy satisficing method based on the reference point method.
Key concepts: Satisficing, Mathematical optimization, Fuzzy logic, Linear programming, Multiobjective programming, Computer science, Goal programming, Mathematics