Tradeoff Information in Interactive Multiobjective Linear Programming Methods

2483 20 2527 3 5010 document 2527 WP-84-035.pdf application/pdf 5978d15d083ae6dcaa9175510070fcf5 MD5 1019801 2016-01-15 01:54:55 https://pure.iiasa.ac.at/id/eprint/2483/1/WP-84-035.pdf 2483 1 1 text en public

WP-84-035.pdf

22 94a735c5860a31ebe6a1c7868550f096d7f59298 20837 1 32567 document 20837 indexcodes.txt text/x-pascal 1ccfc04ecf54a4abb64da6f07093c964 MD5 9629 2016-01-15 15:17:54 https://pure.iiasa.ac.at/id/eprint/2483/2/indexcodes.txt 2483 2 2 text/x-pascal other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

WP-84-035.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2527 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2527 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2527 archive 351 disk0/00/00/24/83 2016-01-15 01:54:55 2021-08-27 17:11:56 2016-01-15 01:54:55 monograph show 2 Kok M. AL0862 Tradeoff Information in Interactive Multiobjective Linear Programming Methods pub iis_met iis_mod prog_ida All of the various methods developed to handle models with multiple objectives require preference information from a decision maker in order to obtain a satisfactory solution. The ability of most decision makers to give a priori information about their preference structure is generally weak, but it is assumed that inspection of trial solutions generated during a computer session will help them to formulate their preferences. In this paper we consider the information that interactive methods can supply to a decision maker. For example, they could provide tradeoff values that could be useful in assessing the interdependence of the objective functions once a trial solution has been obtained. Because there is no unique approach to the multiobjective linear programming (MOLP) problem, several approaches (and scalarization methods) are considered. The relations between the tradeoffs and the dual variables in each of these formulations of the MOLP problem are discussed. These theoretical notions are illustrated by examining the information that is given to a decision maker by some commonly used interactive methods. We show that these methods supply only a part of the available (tradeoff) information. Two existing interactive methods are then extended using the dual variables and duality properties of the problem. In the next few years we plan to carry out some experiments with decision makers (opinion leaders) in public energy planning to see whether the ideas developed here are actually useful in practice. 1984-05 published WP-84-035 WP-84-035 2053 public working_paper IIASA, Laxenburg, Austria 37 FALSE info:eu-repo/semantics/book