基于云理论的粮食品质检测不确定性研究

RESEARCH ON UNCERTAINTIES OF GRAIN QUALITY DETECTION BASED ON CLOUD THEORY

当前粮食品质检测技术一般不考虑不确定性,无法回答检测过程和结果的可信程度.采用云理论,将粮食品质检测的模糊性、随机性统一量化描述.采用熵描述粮食品质的模糊性和随机性特征,采用超熵刻画检测指标可代表粮食品质的确定程度的随机特征.分析了云理论描述粮食品质检测不确定性的有效性.介绍了云理论在粮食品质检测中可能的应用前景.

We doesn’t consider the uncertainties in the current grain quality detection technique in general,so that we cannot determine the reliability of the detection process and the result.Based on the cloud theory,we quantitatively described the fuzziness and the randomness of the grain quality detection in a unified way,adopted entropy to describe the fuzziness and the randomness of the grain quality,and adopted excess entropy to describe the detection indexes that could represent the randomness of the certainty degree of the grain quality.We also analyzed the effectiveness of the cloud theory for describing the uncertainties of the grain quality detection,and introduced the possible prospect of the cloud theory in the grain quality detection.