Published In

Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings

Document Type

Article

Publication Date

9-1-2016

Abstract

The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM's (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and a level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to a levels allows the decision makers to set an appropriate inconsistency tolerance compatible with the situation at hand. The measurements of judgments are unreliable in the absence of an inconsistency measure that includes acceptable limits. All of this is essential to the credibility of the entire decision making process and hence is extremely useful for practitioners and researchers alike. This research includes distribution fitting for the inconsistencies. The superb fits obtained give confidence that all the statistical inferences based on the fitted distributions accurately reflect the HDM's inconsistency measure. © 2016 Portland International Conference on Management of Engineering and Technology, Inc.

Description

This is the publisher's final PDF. Copyright 2016 by PICMET. Paper delivered at the 2016 Proceedings of PICMET '16: Technology Management for Social Innovation.

DOI

10.1109/PICMET.2016.7806838

Persistent Identifier

http://archives.pdx.edu/ds/psu/19730

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