certainty factor meaning in Chinese
确定性因素, 可信度因子
Examples
- The probabilistic approaches include the belief network , the dynamic causality diagram , the markov network , the approach used in prospector , etc . the non - probabilistic approaches include the certainty factor theory in mycin , fuzzy set logic , dempster - shafer theory , etc . the non - probabilistic approaches have reached some achievement in their respective application domain , and shown their shortage while applying
另一类是非概率的方法，包括mycin的可信度因子( certaintyfactor ) 、模糊逻辑( fuzzylogic )以及dempster - shafer的证据理论等。非概率的方法虽然在各自的应用领域都取得了一定成果，但在运用过程中人们越来越意识到这类方法的不足。 - This dissertation discusses and studies to surround the knowledge representation , learning , reasoning , and the main contents include : at the first chapter , some familiar uncertain knowledge representation and reasoning and the difficulties of them : evidential theory , certainty factor , fuzzy logic and fuzzy reasoning , subjective bayesian method , belief network are introduced . we present the basic knowledge , primary reasoning algorithm , complexity of reasoning algorithm , the way of dealing with some problem of causality diagram relative and the research direction in causality diagram theory particular at the second chapter
论文围绕着因果图的知识表达、学习、推理进行了讨论和研究,主要内容包括:在扼要介绍了一些比较常见的不确定性知识的表示和推理方法:证据理论、确定性因子、模糊逻辑与模糊推理、主观bayes方法、信度网的基本知识之后,比较详细地阐述了因果图的知识表达,主要的推理算法、计算复杂度以及对一些问题的处理方式方法。 - The confirmation theory which is one of the uncertain inferring model has been adopted to construct the inference engine , for the special knowledge in the field is uncertain and fuzzy . at the same time the knowledge on fuzzy set theory and fuzzy logic has been applied to calculate the final value about certainty factor value ( cfv ) of a rule through inputting several initial values
根据专门知识的不确定性和模糊性，运用非精确推理模型中的确定性理论，组织实现系统的推理机，在对规则可信度进行不确定性处理时，引入模糊集合论和模糊逻辑的有关知识，处理多个初始可信度的输入，由此得出最终比较可靠的规则可信度。 - Secondly , the mode based on the expert system of the uncertainty reasoning in teaching methods is discussed emphasizely , and the theory of certainty factor is applied to the mode , then we develop an expert system program by using clips language . in the system , fuzzy knowledge expression and reasoning based on the production rule are realized , so that we can perferably realize the intelligent and individual property of icai
然后探讨了采用基于不确定性推理的专家系统实现对教学方法的选择的方式，将可信度理论尝试性地运用于教学方法的选择上，并使用clips （ clanguageintegratedproductionsystem ）语言开发了一个实际可行的教学方法选择专家系统，实现了基于规则的模糊知识表达与推理,从而较好地实现了icai系统中的个别化和智能化教学。 - Finally , according to the process of selecting uncertain parachute design parameters , we present the fuzzy knowledge representation combining production rule with certainty factor and possibility - distribution function . on these bases we establish a fuzzy decision model , using rule - based reasoning and synthesized fuzzy evaluation , for uncertain parameters
通过对不确定参数选择过程的分析，提出在降落伞设计参数决策专家系统( pdpdes )中采用带可信度的产生式规则与可能性分布函数相结合的模糊知识表达方法，在此基础上给出了基于规则推理与模糊综合评判算法相结合的不确定参数模糊决策推理模型。