Investigation into effect of non-uniform thermal environment on thermal sensation under stratum ventilation for heating by using interpolation-based multi-level fuzzy comprehensive evaluation

Wan, Taocheng; Cheng, Fanghui; Cheng, Yong; Liao, Chunhui; Yan, Binbin

doi:10.1016/j.jobe.2022.105592

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…The gray correlation analysis method has no requirement for the required sample size, is simple to calculate, and the results are consistent with the qualitative results [34,35]. The fuzzy comprehensive evaluation method uses precise digital means to process fuzzy evaluation objects, and can make a more scientific, reasonable, and practical quantitative evaluation of data containing fuzzy information [36,37]. This paper attempts to introduce these two methods into the stability analysis of loess slopes.…”

Section: Introductionmentioning

confidence: 88%

Fuzzy Comprehensive Evaluation Method for Evaluating Stability of Loess Slopes

Deng,

Xiang

2023

Advances in Civil Engineering

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The stability assessment of loess slopes is of great significance for slope reinforcement and safety assessment. This research studies the main factors affecting the stability of the loess slope through the summary and analyzes the failure cases of the loess slope in Shaanxi Province. The importance of influencing factors was studied through numerical simulation method, sensitivity analysis method, and gray correlation analysis method, and the weight value method was given. On this basis, we have developed the fuzzy comprehensive evaluation model method for assessing the stability of loess slopes based on the principle of maximum membership degree. Finally, the method was applied to the stability analysis of the actual loess slope, and the rationality and correctness of the loess slope stability evaluation method proposed in this paper were demonstrated. The results showed that, for the Shaanxi loess slope, the probability of instability of the positive slopes is far greater than that of negative slopes; the greater the slope gradient, the more unstable the loess slopes. Collapse mainly occurs in the range of 10–40 m slope height. There is a significant positive correlation between rainfall and the probability of loess landslides. The degree of correlation between the factors influencing slope stability and the safety factor can be categorized from strong to weak as follows: slope inclination > internal friction angle > height of the slope > gravitational forces > cohesion > Poisson’s ratio > modulus of elasticity, and the influence of Poisson’s ratio and elastic modulus can be ignored. The fuzzy comprehensive evaluation method based on the gray correlation degree method established in this paper was used to evaluate the stability of the loess slopes. The evaluation results attested to the actual data of slope monitoring. The evaluation method proves reasonable and feasible and can be well applied to the stability analysis of the loess slopes.

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Section: Introductionmentioning

confidence: 88%

Fuzzy Comprehensive Evaluation Method for Evaluating Stability of Loess Slopes

Deng,

Xiang

2023

Advances in Civil Engineering

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“…It is currently one of the most effective theories in the field of probabilistic reasoning. Fuzzy comprehensive is an important branch of fuzzy set theory and is widely used in current research [25,26]. Fuzzy comprehensive can fuse information from different features to reduce the impact of uncertainty and improve the reliability of recognition.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Dimensional Feature Fusion Recognition Method for Space Infrared Dim Targets Based on Fuzzy Comprehensive with Spatio-Temporal Correlation

Zhang,

Rao,

et al. 2024

Remote Sensing

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Space infrared (IR) target recognition has always been a key issue in the field of space technology. The imaging distance is long, the target is weak, and the feature discrimination is low, making it difficult to distinguish between high-threat targets and decoys. However, most existing methods ignore the fuzziness of multi-dimensional features, and their performance mainly depends on the accuracy of feature extraction, with certain limitations in handling uncertainty and noise. This article proposes a space IR dim target fusion recognition method, which is based on fuzzy comprehensive of spatio-temporal correlation. First, we obtained multi-dimensional IR features of the target through multi-time and multi-spectral detectors, then we established and calculated the adaptive fuzzy-membership function of the features. Next, we applied the entropy weight method to ascertain the objective fusion weights of each feature and computed the spatially fuzzified fusion judgments for the targets. Finally, the fuzzy comprehensive function was used to perform temporal recursive judgment, and the ultimate fusion recognition result was obtained by integrating the results of each temporal recursive judgment. The simulation and comparative experimental results indicate that the proposed method improved the accuracy and robustness of IR dim target recognition in complex environments. Under ideal conditions, it can achieve an accuracy of 88.0% and a recall of 97.5% for the real target. In addition, this article also analyzes the impact of fusion feature combinations, fusion frame counts, different feature extraction errors, and feature database size on recognition performance. The research in this article can enable space-based IR detection systems to make more accurate and stable decisions, promoting defense capabilities and ensuring space security.

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Improvements of stratified micro-environments on the satisfaction of individual thermal preferences and energy-efficiency

Tian

Zhang

2023

Sustainable Cities and Society

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Investigation into effect of non-uniform thermal environment on thermal sensation under stratum ventilation for heating by using interpolation-based multi-level fuzzy comprehensive evaluation

Cited by 3 publications

References 34 publications

Fuzzy Comprehensive Evaluation Method for Evaluating Stability of Loess Slopes

Fuzzy Comprehensive Evaluation Method for Evaluating Stability of Loess Slopes

A Multi-Dimensional Feature Fusion Recognition Method for Space Infrared Dim Targets Based on Fuzzy Comprehensive with Spatio-Temporal Correlation

Improvements of stratified micro-environments on the satisfaction of individual thermal preferences and energy-efficiency

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