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150324s1998 xx |||||o 00| ||eng c |
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|a 10.2307/3010172
|2 doi
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|a (DE-627)JST050595776
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|a (JST)3010172
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Romero, C.
|e verfasserin
|4 aut
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|a Goal Programming, Compromise Programming and Reference Point Method Formulations: Linkages and Utility Interpretations
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|c 1998
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
|2 rdamedia
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|a Online-Ressource
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|a This paper looks at connections between the multi-criteria techniques of goal programming, compromise programming, and the reference point method. The utility function structure of each method is examined and interpretation of the techniques in terms of pareto efficiency and the equilibrated nature of the solution is given. Means of ensuring pareto efficiency whilst maintaining as much as possible the equilibrated character are given for a certain class of model. Methods for ensuring conceptual correctness and computational accuracy by reducing reference point models to equivalent goal programmes are given. The findings are illustrated by means of an example.
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|a Copyright 1998 Operational Research Society Ltd
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|a MCDM
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|a Compromise Programming
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|a Goal Programming
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|a Reference Point Method
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|a Utility Theory
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| 650 |
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Decision making
|x Decision analysis
|x Goal programming
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| 650 |
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|a Economics
|x Economic principles
|x Economic efficiency
|x Pareto principle
|x Pareto efficiency
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| 650 |
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|a Linguistics
|x Language
|x Lexicology
|x Lexicography
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| 650 |
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
|x Operations research
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| 650 |
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|a Economics
|x Microeconomics
|x Economic utility
|x Utility functions
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| 650 |
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4 |
|a Physical sciences
|x Earth sciences
|x Geography
|x Geodesy
|x Cartography
|x Map features
|x Contour lines
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| 650 |
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|a Applied sciences
|x Computer science
|x Computer engineering
|x Computer software
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| 650 |
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical models
|x Parametric models
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| 650 |
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|a Applied sciences
|x Research methods
|x Modeling
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| 650 |
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|a Applied sciences
|x Computer science
|x Computer programming
|x Mathematical programming
|x Linear programming
|x Technical Notes
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| 655 |
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|a research-article
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| 700 |
1 |
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|a Tamiz, M.
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jones, D. F.
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t The Journal of the Operational Research Society
|d Taylor & Francis, Ltd.
|g 49(1998), 9, Seite 986-991
|w (DE-627)320465098
|w (DE-600)2007775-0
|x 14769360
|7 nnns
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| 773 |
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|g volume:49
|g year:1998
|g number:9
|g pages:986-991
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|u https://www.jstor.org/stable/3010172
|3 Volltext
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|u https://doi.org/10.2307/3010172
|3 Volltext
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|a AR
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|d 49
|j 1998
|e 9
|h 986-991
|