Abstract: The deficiency of traditional QSIM ( qualitative simulation for imp rise model) algorithm was ana2 lyzed. Using unconfirmed rational number to imp rove the descrip tion capacity of QSIM, and using group modeling method to model the uncertain relationship under the GDSS circumstance, the QSIM with character of physics logical reasoning and experts’experience reasoning with character of jump ing thinking are combined together, which not only made the QSIM algorithm be capable to make a innovational decision, but also made the incomp lete quality of traditional QSIM algorithm be partly solved.
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陆 胜. GDSS环境下一种改进的QSIM定性推理算法 3[J].重庆工商大学学报(自然科学版),2009,(3):242-246 LU Sheng. Improvement of the QSIM algorithm under GDSS circumstance[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2009,(3):242-246