改进的模糊灰色关联分析法在热舒适度影响因素评定中的应用

Application of improved fuzzy grey correlation analysis to appraisal of factors influencing personal thermal comfort degree

针对灰色关联分析中由于比较序列曲线间空间位置不同而引起关联误差,分辨系数取定值不合理,取平均值求关联度影响评价准确性等缺陷,本文采用了线性变换及合理判定分辨系数的方法,确定了改进的关联系数,并结合模糊系统中的贴近度原理,提出了一种改进的灰色关联度求法。采用该方法对影响井下人体热舒适度的因素模糊灰色化后进行了评定分析。实践证明,该方法具有简单、可靠、准确等优点。

This paper aims to introduce the author＇s research on how to apply the Improved Fuzzy Grey Correlation Analysis to evaluate the factors affecting the personal thermal comfort degree. Integrating the principle of closeness degree in fuzzy system, the present author has adopted the method of linear transformation and reasonable determinative differentiation of the coefficient in conformity with the improved relational coefficient, thus putting forward an improved approach to the grey relational degree. As is known, being made fuzzy and grey, all the factors affecting the thermal comfort degree can be evaluated and analyzed by this method, on the condition to get a favorable effect. The evaluation result indicates that both air temperature and humid temperature influence human thermal comfort most obviously, then followed by the global temperature and air velocity, with relative humidity the less important. The practice has testified that the improved method enjoys a series of advantages, such as being scientific, original, simple, reliable, adaptable and accurate, etc. Finally, there exist some aspects worthy to be concerned about should be pointed out. That is, as the evaluation results indicate, the thermal disadvantageous degrees in different underground exploitation situations and the actual drivage workfaces should also be evaluated and analyzed by means of the comprehensive evaluation methods of grey, fuzzy, and neural network so as to be able to provide essential approaches and proofs on how to ameliorate the underground working conditions.