A two-phase interactive solution method for multiple-objective programming problems

There has been increasing emphasis on interactive methods for the solution of multiple objective programming (MOP) models. These solution methods are commonly founded on economic definitions of rationality and assume the existence of a well-defined, stable utility function. A two-phase solution meth...

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Bibliographic Details
Published in:IEEE transactions on systems, man, and cybernetics Vol. 21; no. 4; pp. 743 - 749
Main Author: Buchanan, J.
Format: Journal Article
Language:English
Published: New York, NY IEEE 1991
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Context modeling
Decision making
Decision support systems
Decision theory. Utility theory
Delta modulation
Equations
Exact sciences and technology
Humans
Linear programming
Mathematical model
Mathematical programming
Operational research and scientific management
Operational research. Management science
User interfaces
Social decision
Decision making
Decision theory
Multiobjective programming
Judgment
Mathematical programming
ISSN:0018-9472
Online Access:Get full text
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Summary:There has been increasing emphasis on interactive methods for the solution of multiple objective programming (MOP) models. These solution methods are commonly founded on economic definitions of rationality and assume the existence of a well-defined, stable utility function. A two-phase solution method that is behaviorally founded and draws on the literature about the structure of MOP models is considered. Some relevant behavioral issues are discussed, and a solution approach that integrates the more structural MOP research with a proven behavioral model of human decision-making is presented. The method seeks to accommodate the behavioral characteristics of human decision-making situations. An example of the solution method for the group decision-making situation is given.< >
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ISSN:0018-9472
DOI:10.1109/21.108292