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Multi-criteria group decision making with a partial-ranking-based ordinal consensus reaching process for automotive development management

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  • Zheng Wu
  • Huchang Liao

Abstract

The consensus reaching process (CRP) aims at reconciling the conflicts between individual preferences when eliciting collective preferences. The ordinal CRP based on the positional orders of alternatives in linear rankings is straightforward and robust; however, for partial rankings involving preference, indifference and incomparability relations, there is no explicit positional order but are binary relations. This study focuses on partial rankings that may occur when using the ORESTE (organísation, rangement et Synthèse de données relarionnelles, in French) method for making decisions, and designs an ordinal CRP pertaining to the binary relations of alternatives. Concretely, we propose an enhanced ordinal consensus measure with two hierarchies to measure the agreement levels between individual partial rankings. Consensus degrees are calculated based on the frequency distribution of binary relation types, which can avoid subjective axiomatic assumptions on the relations themselves. Besides, a consensus threshold determination method close to cognitive expression is developed. A feedback mechanism is designed to aid experts to modify preferences towards group consensus. An example about the evaluation of automotive design schemes is presented to validate the proposed ordinal CRP. A ranking result that allows the incomparability relations of design schemes is obtained after the information exchange among experts.

Suggested Citation

  • Zheng Wu & Huchang Liao, 2022. "Multi-criteria group decision making with a partial-ranking-based ordinal consensus reaching process for automotive development management," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 4839-4864, December.
  • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:4839-4864
    DOI: 10.1080/1331677X.2021.2019077
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