Abstract
In this paper, a new interactive multiobjective decision making technique for solving multiobjective optimization problems, which is called sequential proxy optimization technique (SPOT), is presented. Using this technique, the preferred solution for the decision maker can be derived efficiently from among a Pareto optimal solution set by assessing his marginal rates of substitution and maximizing the local proxy preference functions sequentially. Based on the algorithm of SPOT, a time-sharing computer program is also written to implement man-machine interactive procedures. The industrial pollution control problem in Osaka City in Japan is formulated and it is demonstrated that the problem can be effectively solved using our computer program.
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 callDisclaimer: 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.
