The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Yuan Guoming - One of the best experts on this subject based on the ideXlab platform.
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assessment of the water quality by Fuzzy Mathematics for last 20 years in zhujiang estuary
Marine Environmental Science, 2007Co-Authors: Yuan GuomingAbstract:The assessment of the water quality in Zhujiang Estuary was made by the Fuzzy Mathematics for last 20 years.The results show that the water quality in Zhujiang Estuary has been deteriorated during the period.The main pollutants were changed from the heavy metals to nutrients.Comparing the method of single sub-index,the assessment method of the Fuzzy Mathematics is available and reliable.
John A. Hudson - One of the best experts on this subject based on the ideXlab platform.
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Incorporating Parameter Variability in Rock Mechanics Analyses: Fuzzy Mathematics Applied to Underground Rock Spalling
Rock Mechanics and Rock Engineering, 2010Co-Authors: John P. Harrison, John A. HudsonAbstract:Although Fuzzy analysis has been widely developed, its use in rock mechanics and rock engineering is limited. Here, it has been used to evaluate the potential for underground rock spalling at the boundary of a circular excavation in terms of rock strength and in situ rock stress, given the uncertainty in both of these input parameters. Using standard techniques from Fuzzy Mathematics, we develop an expression for the Fuzzy factor of safety, and extend this to form the crisp parameters Safety Certainty Value and its complement, the Failure Certainty Value. Plots of the Failure Certainty Value in terms of the in situ stress ratio and rock strength/stress ratio show the effect of uncertainty on the assessment of stability. From these plots, we illustrate how the relative importance of uncertainty in the input parameters can be assessed, with the associated ramifications for site investigation and subsequent engineering design.
Xin Chen - One of the best experts on this subject based on the ideXlab platform.
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a hybrid Fuzzy evaluation method for safety assessment of food waste feed based on entropy and the analytic hierarchy process methods
Expert Systems With Applications, 2014Co-Authors: Ting Chen, Yiying Jin, Xiaopeng Qiu, Xin ChenAbstract:The product safety of food-waste feed is the key factor limiting the development of its industrial chain. In this paper, we construct a method based on data from the testing of food-waste feed with comprehensive evaluation of its product safety by integrating Fuzzy Mathematics effectively, i.e., the entropy method (EM), and the model of the analytic hierarchy (AHP) process. Furthermore, a hierarchical three-level evaluation-index system including biological-safety and chemical-safety considerations is first established via data analysis, data surveys and expert experiential investigation as well, with an actual case in China being fully applied. In addition, we apply the EM and AHP process to calculate the weights of the individual evaluation indices. Finally, through the dimensionless treatment of test data from samples, we determine the degree of membership of each test value relative to the different levels of safety using a trapezoidal membership function. By adopting the developed three-level model of Fuzzy Mathematics for comprehensive evaluation, we derive the safety grades of tested samples. The comprehensive evaluation method developed in this paper can effectively overcome the shortcomings of traditional single-factor evaluation and offer the qualitative and quantitative advantages of expert survey and basic data research as well. As a result, it is considerably applicable for the product-safety analysis and production control of animal feed generated from food waste.
John P. Harrison - One of the best experts on this subject based on the ideXlab platform.
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Incorporating Parameter Variability in Rock Mechanics Analyses: Fuzzy Mathematics Applied to Underground Rock Spalling
Rock Mechanics and Rock Engineering, 2010Co-Authors: John P. Harrison, John A. HudsonAbstract:Although Fuzzy analysis has been widely developed, its use in rock mechanics and rock engineering is limited. Here, it has been used to evaluate the potential for underground rock spalling at the boundary of a circular excavation in terms of rock strength and in situ rock stress, given the uncertainty in both of these input parameters. Using standard techniques from Fuzzy Mathematics, we develop an expression for the Fuzzy factor of safety, and extend this to form the crisp parameters Safety Certainty Value and its complement, the Failure Certainty Value. Plots of the Failure Certainty Value in terms of the in situ stress ratio and rock strength/stress ratio show the effect of uncertainty on the assessment of stability. From these plots, we illustrate how the relative importance of uncertainty in the input parameters can be assessed, with the associated ramifications for site investigation and subsequent engineering design.
Ting Chen - One of the best experts on this subject based on the ideXlab platform.
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a hybrid Fuzzy evaluation method for safety assessment of food waste feed based on entropy and the analytic hierarchy process methods
Expert Systems With Applications, 2014Co-Authors: Ting Chen, Yiying Jin, Xiaopeng Qiu, Xin ChenAbstract:The product safety of food-waste feed is the key factor limiting the development of its industrial chain. In this paper, we construct a method based on data from the testing of food-waste feed with comprehensive evaluation of its product safety by integrating Fuzzy Mathematics effectively, i.e., the entropy method (EM), and the model of the analytic hierarchy (AHP) process. Furthermore, a hierarchical three-level evaluation-index system including biological-safety and chemical-safety considerations is first established via data analysis, data surveys and expert experiential investigation as well, with an actual case in China being fully applied. In addition, we apply the EM and AHP process to calculate the weights of the individual evaluation indices. Finally, through the dimensionless treatment of test data from samples, we determine the degree of membership of each test value relative to the different levels of safety using a trapezoidal membership function. By adopting the developed three-level model of Fuzzy Mathematics for comprehensive evaluation, we derive the safety grades of tested samples. The comprehensive evaluation method developed in this paper can effectively overcome the shortcomings of traditional single-factor evaluation and offer the qualitative and quantitative advantages of expert survey and basic data research as well. As a result, it is considerably applicable for the product-safety analysis and production control of animal feed generated from food waste.
