Review of Empirical Studies in Multiobjective Mathematical Programming: Subject Reflection of Nonlinear Utility and Learning

ABSTRACT Multiple objective programming provides a means of aiding decision makers facing complex decisions where trade‐offs among conflicting objectives must be reconciled. Interactive multiobjective programming provides a means for decision makers to learn what these trade‐offs involve, while the...

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Vydáno v:Decision sciences Ročník 23; číslo 1; s. 1 - 20
Hlavní autor: Olson, David L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.01.1992
American Institute for Decision Sciences
Témata:
Decision Analysis
Decision makers
Decision making
Decision theory
Goal programming
Human Information Processing
Learning
Linear Programming
Mathematical programming
Objectives
Research subjects
ISSN:0011-7315, 1540-5915
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Shrnutí:ABSTRACT Multiple objective programming provides a means of aiding decision makers facing complex decisions where trade‐offs among conflicting objectives must be reconciled. Interactive multiobjective programming provides a means for decision makers to learn what these trade‐offs involve, while the mathematical program generates solutions that seek improvement of the implied utility of the decision maker. A variety of multiobjective programming techniques have been presented in the multicriteria decision‐making literature. This study reviews published studies with human subjects where some of these techniques were applied. While all of the techniques have the ability to support decision makers under conditions of multiple objectives, a number of features in applying these systems have been tested by these studies. A general evolution of techniques is traced, starting with methods relying upon linear combinations of value, to more recent methods capable of reflecting nonlinear trade‐offs of value. Support of nonlinear utility and enhancing decision‐maker learning are considered.
Bibliografie:ark:/67375/WNG-6VLXP7M2-Q
ArticleID:DECI1
istex:6F90184FF6DD3AD259E01FF356636B5ACEAC570F
His research interests are in the area of multiple objective decision making.
David L. Olson is an associate professor in the Department of Business Analysis and Research, Texas A&M University. He has an M.B.A. from Kearney State College and a Ph.D. in business administration from the University of Nebraska‐Lincoln. Dr. Olson has published in a number of journals including the
and the
Academy of Management Journal
European Journal of Operations Research, Journal of the Operational Research Society
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ISSN:0011-7315
1540-5915
DOI:10.1111/j.1540-5915.1992.tb00374.x