Credibility Assessment of Simulation Models Using Hesitant Cloud Linguistic Term Sets
Credibility assessment of a simulation model is a hard problem as subjectivity is always involved. Linguistic expressions are much more straightforward and friendlier for a subject matter expert (SME) to represent qualitative judgments. Therefore, an assessment method based on hesitant cloud linguistic term sets (HCLTSs) is proposed in this paper. SMEs use context-free grammars and linguistic expressions to express their opinions. Then, these linguistic expressions are transformed into HCLTSs. Finally, aggregation results are calculated by synthetic cloud algorithm and weighted average cloud algorithm. An example under multiple-criteria group decision making is presented to illustrate the proposed method for credibility assessment.
KeywordsCredibility assessment Simulation model Hesitant cloud linguistic term sets Cloud model Linguistic expressions
This work was supported by the Equipment Pre-Research Project of the ‘Thirteenth Five-Year-Plan’ of China under Grant 6140001010506.
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