The fuzzy mathematic model was used to evaluate the water quality of six sections in the upper reaches of the Qingshui River Basin. The results showed that tiie water of grade I accounted for a high proportion, with m...The fuzzy mathematic model was used to evaluate the water quality of six sections in the upper reaches of the Qingshui River Basin. The results showed that tiie water of grade I accounted for a high proportion, with mild pollution and strong self-deaning ability; the pollutants （f.g. ammonium nitrogen, total phosphorus and fluoride） at each section mainly came from phosphate mines and phosphorus chemical companies; and the water quaEty among different sections was in the order Chayuan, Xingren Bridge, Xiasi, Locomotive Section, Yingpan, Panghai （from superiority to inferiority）. This study has important reference values fof improving the water envifonment, saf^uarding the safely of drinkiiig water supply and scientifically preventing and conttolling water pollution, in the basin.展开更多
The noise level of coal face by full-mechanized coal winning technology was measured in a coal mine. And then it was analyzed and evaluated using environment science, ergonomics and fussy mathematics analysis. Basis o...The noise level of coal face by full-mechanized coal winning technology was measured in a coal mine. And then it was analyzed and evaluated using environment science, ergonomics and fussy mathematics analysis. Basis of the statistics and analysis of the measured noise level some measures, such as applying the new materials and improving the construction of the equipment, were carried out. The resuts show that they can reduce the noise level, improve the working environment and enhance the work efficiency.展开更多
An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This pape...An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This paper puts forward a new model, fuzzy calculation model, based on lots of data of the finished proiects. Through actual application, it is proved that the model is accurate and quick in calcalation of construction.展开更多
In fuzzy set theory, instead of the underlying membership set being a two-valued set it is a multi-valued set that generally has the structure of a lattice L with a minimal element O and the maximal element I. Further...In fuzzy set theory, instead of the underlying membership set being a two-valued set it is a multi-valued set that generally has the structure of a lattice L with a minimal element O and the maximal element I. Furthermore if ∧, ∨, → and ┐ are defined in the set L, then we can use these operations to define, as in the ordinary set theory, operations on fuzzy subsets. In this paper we give a model of the Lattice-Valued Logic with set of agents. Any agents know the logic value of a sentence p. The logic value is compatible with all of the accessible conceptual models or worlds of p inside the agent. Agent can be rational or irrational in the use of the logic operation. Every agent of n agents can have the same set of conceptual models for p and know the same logic for p in this case the agents form a consistent group of agents. When agents have different conceptual models for p, different subgroup of agents know different logic value for p. In this case the n agents are inconsistent in the expression of the logic value for p. The valuation structure of set of agents can be used as a semantic model for the Lattice-valued Logic and fuzzy logic.展开更多
A direct feedback control system based on fuzzy recurrent neural network is proposed, and a method of training weights of fuzzy recurrent neural network was designed by applying modified contract mapping genetic algor...A direct feedback control system based on fuzzy recurrent neural network is proposed, and a method of training weights of fuzzy recurrent neural network was designed by applying modified contract mapping genetic algorithm. Computer simulation results indicate that fuzzy recurrent neural network controller has perfect dynamic and static performances .展开更多
According to the theory of fuzzy mathematics, Fuzzy comprehensive evaluation method of the original algorithm is improved, and reduced the possibility loss of the original evaluation data. The improved algorithm is ap...According to the theory of fuzzy mathematics, Fuzzy comprehensive evaluation method of the original algorithm is improved, and reduced the possibility loss of the original evaluation data. The improved algorithm is applied in the practice teaching quality evaluation system, and improved the practice teaching quality evaluation results and the accuracy of visual, and promote the teaching management scientific, standardized and institutionalized. In order to establish incentive mechanism, it can bring a positive role to improve teaching quality.展开更多
基金Sponsored by Scientific and Technological Cooperation Project of Guizhou Province(LH20157758)Youth Science and Technology Talent Growth Project of Education Department of Guizhou Province(KY[2017]336)
文摘The fuzzy mathematic model was used to evaluate the water quality of six sections in the upper reaches of the Qingshui River Basin. The results showed that tiie water of grade I accounted for a high proportion, with mild pollution and strong self-deaning ability; the pollutants （f.g. ammonium nitrogen, total phosphorus and fluoride） at each section mainly came from phosphate mines and phosphorus chemical companies; and the water quaEty among different sections was in the order Chayuan, Xingren Bridge, Xiasi, Locomotive Section, Yingpan, Panghai （from superiority to inferiority）. This study has important reference values fof improving the water envifonment, saf^uarding the safely of drinkiiig water supply and scientifically preventing and conttolling water pollution, in the basin.
文摘The noise level of coal face by full-mechanized coal winning technology was measured in a coal mine. And then it was analyzed and evaluated using environment science, ergonomics and fussy mathematics analysis. Basis of the statistics and analysis of the measured noise level some measures, such as applying the new materials and improving the construction of the equipment, were carried out. The resuts show that they can reduce the noise level, improve the working environment and enhance the work efficiency.
文摘An overview of the delelopment of approaches to construction cost and price forcasting since the 1950’s is given. First, second and third generation models can be identified, but they all have shortcomings. This paper puts forward a new model, fuzzy calculation model, based on lots of data of the finished proiects. Through actual application, it is proved that the model is accurate and quick in calcalation of construction.
文摘In fuzzy set theory, instead of the underlying membership set being a two-valued set it is a multi-valued set that generally has the structure of a lattice L with a minimal element O and the maximal element I. Furthermore if ∧, ∨, → and ┐ are defined in the set L, then we can use these operations to define, as in the ordinary set theory, operations on fuzzy subsets. In this paper we give a model of the Lattice-Valued Logic with set of agents. Any agents know the logic value of a sentence p. The logic value is compatible with all of the accessible conceptual models or worlds of p inside the agent. Agent can be rational or irrational in the use of the logic operation. Every agent of n agents can have the same set of conceptual models for p and know the same logic for p in this case the agents form a consistent group of agents. When agents have different conceptual models for p, different subgroup of agents know different logic value for p. In this case the n agents are inconsistent in the expression of the logic value for p. The valuation structure of set of agents can be used as a semantic model for the Lattice-valued Logic and fuzzy logic.
文摘A direct feedback control system based on fuzzy recurrent neural network is proposed, and a method of training weights of fuzzy recurrent neural network was designed by applying modified contract mapping genetic algorithm. Computer simulation results indicate that fuzzy recurrent neural network controller has perfect dynamic and static performances .
文摘According to the theory of fuzzy mathematics, Fuzzy comprehensive evaluation method of the original algorithm is improved, and reduced the possibility loss of the original evaluation data. The improved algorithm is applied in the practice teaching quality evaluation system, and improved the practice teaching quality evaluation results and the accuracy of visual, and promote the teaching management scientific, standardized and institutionalized. In order to establish incentive mechanism, it can bring a positive role to improve teaching quality.
