Flexible aggregation in multiple attribute decision making: Application to the Kuranda Range Road Upgrade

Smith, P. N. (2006) Flexible aggregation in multiple attribute decision making: Application to the Kuranda Range Road Upgrade. Cybernetics and Systems, 37 1: 1-22. doi:10.1080/01969720500320775

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Author Smith, P. N.
Title Flexible aggregation in multiple attribute decision making: Application to the Kuranda Range Road Upgrade
Journal name Cybernetics and Systems   Check publisher's open access policy
ISSN 1087-6553
0196-9722
Publication date 2006-01
Sub-type Article (original research)
DOI 10.1080/01969720500320775
Open Access Status File (Author Post-print)
Volume 37
Issue 1
Start page 1
End page 22
Total pages 22
Place of publication Philadelphia, PA, United States
Publisher Taylor and Francis
Language eng
Subject 310103 Urban and Regional Planning
Formatted abstract
The conventional method of aggregating the satisfaction of transport projects with respect to multiple attributes is commonly some variant of Simple Additive Weighting (SAW), which involves the sum of products of standardized outcomes of projects with respect to attributes and attribute importance weights.
       It is suggested that alternative forms of aggregation might be more useful, in particular, the Ordered Weighted Averaging (OWA) operator introduced by Yager (1988). Attribute importance weights and satisfaction of attributes by projects may be aggregated prior to aggregation via an OWA operator. In this case OWA operator weights may be based on the "attitudinal character" of the decision maker expressed in terms of the degree of "orness" and "andness" of the aggregation. A well-known approach is maximum entropy aggregation, in which weights are derived to be as "even" (or as minimally dispersed) as a possible subject to satisfying a given "orness" or "andness" constraint.
       Recently, aggregation processes have been proposed by Larsen(1999, 2002, 2003) which have several desirable properties and also may be considered as alternative forms of aggregation.
       An example is given relating to the Kuranda Range Road upgrade (Queensland, Australia) which is limited by grade, poor overtaking opportunities, poor horizontal alignment, and other constraints, and the road is expected to become increasingly congested over the next few years. A more flexible Multiple Attribute Decision Making is used to identify a "best" project from a set of four alternative projects.
Keyword Simple additive weighting
Aggregation operator
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Wed, 22 Nov 2006, 10:00:00 EST by Phil Smith on behalf of School of Information Technol and Elec Engineering