Uncertainty and Preference Modelling for Multiple Criteria Vehicle Evaluation

DOI

10.2991/ijcis.2010.3.6.1How to use a DOI?

Keywords

Multiple criteria analysis; Vehicle evaluation; Uncertainty modeling; Evidence theory

Abstract

A general framework for vehicle assessment is proposed based on both mass survey information and the evidential reasoning (ER) approach. Several methods for uncertainty and preference modeling are developed within the framework, including the measurement of uncertainty caused by missing information, the estimation of missing information in original surveys, the use of nonlinear functions for data mapping, and the use of nonlinear functions as utility function to combine distributed assessments into a single index. The results of the investigation show that various measures can be used to represent the different preferences of decision makers towards the same feedback from respondents. Based on the ER approach, credible and informative analysis can be conducted through the complete understanding of the assessment problem in question and the full exploration of available information.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Qiuping Yang
AU  - Xinlian Xie
AU  - Dong-Ling Xu
AU  - Jian-Bo Yang
AU  - Anil Kumar Maddulapalli
PY  - 2010
DA  - 2010/12/01
TI  - Uncertainty and Preference Modelling for Multiple Criteria Vehicle Evaluation
JO  - International Journal of Computational Intelligence Systems
SP  - 688
EP  - 708
VL  - 3
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.6.1
DO  - 10.2991/ijcis.2010.3.6.1
ID  - Yang2010
ER  -