Journal
ENGINEERING COMPUTATIONS
Volume 33, Issue 6, Pages 1767-1783Publisher
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/EC-08-2015-0258
Keywords
Cloud model; Multi-criteria group decision making; Scaling coefficient; Uncertain transition
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Purpose - The purpose of this paper is to select the best scaling coefficient during the quantitative-qualitative conversion. Design/methodology/approach - Cloud model can describe the qualitative concept of randomness and fuzziness, achieve uncertain transition between qualitative and quantitative in the field of multi-criteria group decision and has been receiving widespread attention. This paper discusses scale conversion issues of the cloud model when evaluating qualitative information. In order to improve the accuracy of the evaluation on multi-attribute decision problems based on uncertainty of natural linguistic information, this paper proposes a method of self-testing cloud model based on a composite scale (with the exponential scale and the scale as a basis). Findings - Through experimental verification results show that under composite scale, the best suitable selection of can effectively improve the accuracy and reliability of decision results. Originality/value - This research presents a new approach to determine the suitable value for coefficient based on uncertain knowledge of natural multi-criteria group decision making, and gives concrete steps and examples. This method has positive significance to improve the quality of qualitative and quantitative conversion based on cloud model.
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