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- W2374738267 abstract "In this paper,the evaluation for simulation system credibility is researched.The traditional evaluation method using human experts suffers from heavy workload,uncertain information,and vague result.Aiming at overcoming these problems,an intelligent evaluation approach is provided instead of human experts.Based on uncertainty knowledge representation and reasoning,it constructs an intelligent evaluation expert system to carry out evaluation.The paper elaborates the correlation kowledge about uncertainty knowledge representation and measurement,uncertainty reasoning,vague information quantitating and data integration.Then this method is demonstrated by the example of cellular signal transduction network simulation model.The demonstration proves that the simulation model evaluation using this system is practical,and the result is of impersonality and is believable.It can rival the decision-making process of human experts." @default.
- W2374738267 created "2016-06-24" @default.
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- W2374738267 date "2011-01-01" @default.
- W2374738267 modified "2023-09-25" @default.
- W2374738267 title "Simulation Credibility Evaluation Based on Expert System and Fuzzy Sets" @default.
- W2374738267 hasPublicationYear "2011" @default.
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