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Enhancement of TOPSIS using compound linguistic ordinal scale and cognitive pairwise comparison | IEEE Conference Publication | IEEE Xplore

Enhancement of TOPSIS using compound linguistic ordinal scale and cognitive pairwise comparison


Abstract:

TOPSIS is one of the popular multi-criteria decision making models. However, the determinations of the parametric settings of the rating scale and the weights for the dec...Show More

Abstract:

TOPSIS is one of the popular multi-criteria decision making models. However, the determinations of the parametric settings of the rating scale and the weights for the decision matrix are still uncertain in TOPSIS. This research proposes the compound linguistic ordinal scale (CLOS) as the rating scale for the subject measure, and the cognitive pairwise comparison (CPC) for determining the weight. The usability and applicability of the enhanced TOPSIS are illustrated in a case of the robot selection problem.
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584
Conference Location: Jeju, Korea (South)

References

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