approximate reasoning
英 [əˈprɒksɪmət ˈriːznɪŋ]
美 [əˈprɑːksɪmət ˈriːznɪŋ]
网络 不精确推理; 近似推理; 以近似推理; 近似推論; 近似推论
双语例句
- Current similarity based approximate reasoning methods ( SBARs) have various views on similarity relations and neglect the effect of dissimilarity relations.
目前基于相似关系的近似推理方法（SBAR）对相似关系的理解并不一致，在推理过程中未能考虑相异关系的影响。 - The Γ-rand Truth Degree of Fomulas and Approximate Reasoning in Classical Propositional Logic
经典命题逻辑中公式的Γ-随机真度与近似推理 - Rulebased fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing.
基于规则的模糊算子可以将近似原理应用到图像处理领域内，是一种新颖的图像处理方法。 - Assessment Model of Sustainable Development of System& A Method of Approximate Reasoning Based on Fuzzy Linguistic Value Logic
系统可持续发展的评价模型构建&基于模糊语言值逻辑的近似推理方法 - The Theory of Approximate Reasoning Based on the Premise Information in Two-valued Propositional Logic
二值命题逻辑中基于前提信息的近似推理理论 - The Implication Measurement and Approximate Reasoning in Two-valued Propositional Logic
二值命题逻辑中的蕴涵度量与近似推理 - It can deal with the reasoning in an incomplete domain theory effectively and combine the advantages of approximate reasoning and nonmonotonic reasoning to overcome their limitations.
它能有效地处理不完全领域知识下的推理，结合不精确推理和非单调推理的优点，克服两者的局限性。 - Bidirectional approximate reasoning based on distances of Vague set
基于Vague集间距离的双向近似推理 - P-randomized truth degrees and approximate reasoning in n-valued logic system
n值命题逻辑中的P-随机真度及近似推理 - This paper analyzes the characteristics and limitations of approximate reasoning ( based on probability) and nonmonotonic reasoning ( based on truth maintenance system).
不精确推理和非单调推理是人工智能中两个重要的研究方面。 - Prediction model of annual precipitation based on information-diffusion approximate reasoning
基于信息扩散近似推理的年降水量预测模型 - Based on a series of approximate reasoning and experiment verifications, the method of initializing weights is inducted.
并通过一系列近似推理与实验验证，提出了将隐层权重矢量初始值均匀地分布在权重空间的一个圆（超球面）上的方法。 - From features and limitations of current approximate reasoning for expert systems.
对现行近似推理方法的特点及局限性进行分析，进而提出了向量法近似推理模型。将推理视为论域的多维状态空间中状态的变化与传递。 - Fuzzy sets and fuzzy logic are important mathematical tools for processing uncertain and vague information, which has been widely applied to approximate reasoning and so on.
模糊集与模糊逻辑是处理大量存在的不确定性与模糊性信息的重要数学工具，在近似推理等领域有着广泛的应用。 - A New Approximate Reasoning Approach Based on Vague Sets
一个新的基于Vague集的近似推理方法 - We research approximate reasoning method based on above method of similarity measure.
同时进行了基于这种相似度量方法的近似推理研究。 - When fuzzy IF-THEN rules are used to approximate reasoning, interaction exists among rules.
近年来，模糊产生式规则已经应用于近似模糊推理中。 - Computing model and performance comparison of real-time approximate reasoning in fuzzy control
模糊控制中实时近似推理的计算模型和性能比较 - In approximate reasoning based on Vague set rules by clustering the distance between Vague sets is need computative.
在基于Vague集聚类规则的近似推理中，需要计算Vague集之间的距离。 - The lattice implication algebra is a theoretical basis for the theory of lattice valued logic and approximate reasoning.
格蕴涵代数为格值逻辑与不确定性推理的研究提供了一种理论基础。 - At present, Compositional Rule of Inference is often used in approximate reasoning mechanism of the fuzzy expert system.
模糊推理是模糊专家系统的核心，目前模糊专家系统使用的模糊推理机制基本上都是基于Fuzzy集的合成推理方法。 - The Interpolation Model of Approximate Reasoning in Fuzzy Control
模糊控制中近似推理的插值模型 - The main issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory.
本文主要探讨了基于模糊集合理论的不确定知识表示和近似推理方法。 - Application of Approximate Reasoning to Expert Systems for Mine Parameter Analysis
近似推理在水雷参数分析专家系统中的应用 - Approximate Matching and Approximate Reasoning in Expert Systems
专家系统中的近似匹配和近似推理 - Approximate Reasoning Based on Weighted Multiple-valued Logic in Expert Systems
专家系统中基于加权多值逻辑的近似推理 - Approximate Reasoning Method Based on Intuitionistic Fuzzy Logic
基于直觉模糊逻辑的近似推理方法 - Knowledge uncertainty in expert systems has advanced the research on approximate reasoning.
专家系统中的知识的不确定性推动了近似推理的研究。 - Interval sets and interval-valued fuzzy sets are an important direction of the study, and have a broad application in fuzzy control, approximate reasoning and other fields.
区间集和区间值模糊集是重要的研究方向，在模糊控制、近似推理等领域中有着广泛的应用。