| 摘要: |
| 摘 要:分析了传统QSIM算法的不足,在群体决策条件下,用未确知有理数来改进传统QSIM的描述能
力,用群体建模的方法解决不确定关系的建模问题,实现了具有物理逻辑推理性的QSIM算法与具有跳跃性思
维特征的专家经验推理的融合,使QSIM算法具有创新决策能力,并部分解决传统QSIM算法的不完备性。 |
| 关键词: 关键词:定性推理 QSIM算法 群体决策系统 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Improvement of the QSIM algorithm under GDSS circumstance |
|
LU Sheng
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| Abstract: |
| 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. |
| Key words: Key words: qualitative reasoning QSIM algorithm group decision support system |
