Behavioral influences on weight judgments in multiattribute decision making

Weber, Martin; Borcherding, Katrin

doi:10.1016/0377-2217(93)90318-h

Cited by 345 publications

(188 citation statements)

References 26 publications

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“…Weights w i indicate the relative importance of an improvement in one attribute from its worst level to its best level compared with changes in other attributes. There are many techniques to elicit attribute weights, for a review see Stewart (1992) and Weber and Borcherding (1993). The methods studied in this experiment and the way they are used are described below.…”

Section: Attribute Weightingmentioning

confidence: 99%

On the convergence of multiattribute weighting methods

Pöyhönen¹,

Hämäläinen²

2001

European Journal of Operational Research

244

106

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Five multiattribute weighting methods were compared in an Internet experiment. This is the first experiment where the subjects created the alternatives and attributes themselves. Each subject used five methods to assess attribute weights, one version of the Analytic Hierarchy Process (AHP), DIRECT weighting, Simple Multiattribute Rating Technique (SMART), SWING weighting and TRADEOFF weighting. They can all be used following the principles of multiattribute value theory. Furthermore, each of them asks decision makers to give numerical estimates of weight ratios although the elicitation questions are different. In earlier studies, however, these methods have yielded different weights. Our results suggest that weights are different because the methods explicitly or implicitly lead the decision makers to choose their responses from a limited set of numbers. The other consequences are that the spread of weights and the inconsistency between the preference statements depend on the number of attributes that a decision maker considers simultaneously.

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Section: Attribute Weightingmentioning

confidence: 99%

On the convergence of multiattribute weighting methods

Pöyhönen¹,

Hämäläinen²

2001

European Journal of Operational Research

244

106

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“…Criteria weightings can strongly influence decision outcomes (Weber and Borcherding, 1993), and the method used to weight criteria is therefore critical to making sound decisions.…”

Section: Performance Scoring and Criteria Weightingmentioning

confidence: 99%

A multi-criteria decision approach to decommissioning of offshore oil and gas infrastructure

Fowler

Macreadie

Jones

et al. 2014

Ocean & Coastal Management

151

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Article (refereed) -postprintFowler, A.M.; Macreadie, P.I.; Jones, D.O.B.; Booth, D.J.. 2014 A multi-criteria decision approach to decommissioning of offshore oil and gas infrastructure. Ocean & Coastal Management, 87. 20-29. 10.1016/j.ocecoaman.2013 Contact NOC NORA team at publications@noc.soton.ac.ukThe NERC and NOC trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.A multi-criteria decision approach to decommissioning of offshore oil and gas infrastructure AbstractThousands of the world's offshore oil and gas structures are approaching obsolescence and will require decommissioning within the next decade. Many nations have blanket regulations requiring obsolete structures to be removed, yet this option is unlikely to yield optimal environmental, societal and economic outcomes in all situations. We propose that nations adopt a flexible approach that allows decommissioning options to be selected from the full range of alternatives (including 'rigs-to-reefs' options) on a case-by-case basis. We outline a method of multi-criteria decision analysis (Multi-criteria Approval, MA) for evaluating and comparing alternative decommissioning options across key selection criteria, including environmental, financial, socioeconomic, and health and safety considerations. The MA approach structures the decision problem, forces explicit consideration of trade-offs and directly involves stakeholder groups in the decision process. We identify major decommissioning options and provide a generic list of selection criteria required for inclusion in the MA decision process. To deal with knowledge gaps concerning environmental impacts of decommissioning, we suggest that expert opinion feed into the MA approach until sufficient data become available. We conducted a limited trial of the MA decision approach to demonstrate its application to a complex and controversial decommissioning scenario; Platform Grace in southern California. The approach indicated, for this example, that the option 'leave in place intact' would likely provide best environmental outcomes in the event of future decommissioning. In summary, the MA approach will allow the environmental, social, and economic impacts of decommissioning decisions to be assessed simultaneously in a transparent manner.

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“…Although weight values are likely to vary depending on the method of elicitation [9][10][11] it is unusual for different methods to be used in any single application, though inconsistency due to method variation would fit the framework above.…”

Section: Application To Multicriteria Problemsmentioning

confidence: 99%

“…The mean values (9) are used in the evaluation (1). Because of (2) weights are negatively correlated:…”

Section: The Dirichlet Distributionmentioning

confidence: 99%

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IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Jessop¹

2014

Omega

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. (2014) 'IMP : a decision aid for multiattribute evaluation using imprecise weight estimates. ', Omega., Further information on publisher's website:http://dx.doi.org/10.1016/j.omega.2014.05.001Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Omega. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be re ected in this document. Changes may have been made to this work since it was submitted for publication. A de nitive version was subsequently published in Omega, 49, 2014, 10.1016/j.omega.2014.05.001. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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Behavioral influences on weight judgments in multiattribute decision making

Cited by 345 publications

References 26 publications

On the convergence of multiattribute weighting methods

On the convergence of multiattribute weighting methods

A multi-criteria decision approach to decommissioning of offshore oil and gas infrastructure

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

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