摘要

In this paper, we analyse unbalanced linguistic information in fuzzy risk analysis, the advantages of our method are that linguistic evaluation terms in risk analysis are unbalanced linguistic terms. To aggregate these unbalanced linguistic evaluation terms, we propose an unbalanced linguistic aggregation operator. In corresponding risk analysis, we use severity of loss and probability of failure to express the evaluating result. Hence, our method offers preference selection in the process of fuzzy risk analysis, which coincides with real world practices.

  • 出版日期2011

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