Abstract
This paper considers multiobjective linear programming problems involving random variables in constraints. Using the concept of simple recourse, the formulated multiobjective stochastic programming problems with simple recourse are transformed into deterministic ones. Taking into account vagueness of judgments of the decision maker, interactive fuzzy programming is presented. In the proposed method, after determining the fuzzy goals of the decision maker, a satisficing solution for the decision maker is derived efficiently by updating the reference membership levels. Extensions to integer programming are also considered. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Multicriteria Decision Making
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
