49results about How to "Science of evaluation results" patented technology

The invention discloses an index screening and processing method for evaluating quality of tobacco leaves. The method is characterized by comprising the following steps: determining 21 tobacco leaf quality indexes, screening the quality evaluation indexes by utilizing a main component analysis and relevant analysis way, grading the quality evaluation indexes by utilizing probability distribution, determining quality evaluation index weight by utilizing a layering analysis way, establishing a tobacco leaf quality judgment function by utilizing a K-average value clustering and multi-category gradual judgment analysis way, and detecting the accuracy of the judgment function. The tobacco leaf quality index which can accurately analyze and evaluate the tobacco leaf quality can be more systematically and comprehensively screened from the tobacco leaf quality indexes of multiple base units.

A credibility evaluation method of software units of a complex software system includes the following steps: A building a credibility index system; B determining a credibility evaluation comment set; C acquiring an objective weight through factor analysis by aid of SPSS (Statistic Package for Social Science), acquiring a subjective weight with an analytic hierarchy process and determining the final factor weights with a dynamic assignment method; D conducting first-level fuzzy evaluation on credibility of the software units; E correcting the evaluation result through multiple fuzzy composition operators; F iterating the above calculation process to achieve multi-level fuzzy comprehensive evaluation on the credibility of the software units. The credibility evaluation method classifies evaluation indexes, so that an evaluation result is more reliable; acquired index weight values better accord with the practical condition of the software units, so an objective and subjective weight structure can be adjusted dynamically according to different software units; the evaluation result is corrected through the multiple fuzzy composition operators so that the evaluation result is more scientific, accurate and reasonable.

Provided is a pipeline health state assessment method based on a random forest model, belonging to the city water supply pipe network technical field. The method comprises: respectively extracting the pipeline basic information and historic damage case from the foundation database and the damaged database of a city water supply network; performing data pre-processing on obtained pipeline information; utilizing a random forest model to establish the relation between an independent variable and a dependent variable, and evaluating model classification effects; utilizing the random forest model passing classification effect evaluation to predict the damage probability of the water supply pipe network; grading prediction results, representing health levels by different colors, and drafting a health state thematic map; and evaluating pipeline damage influence factor importance, and analyzing influence rules. The pipeline health state assessment method can assess pipe network health states, obtain prediction results fundamentally according with real conditions, effectively evaluate pipeline states, and provide certain theoretical support for water supply enterprises to make a plane of determining pipeline maintenance and reconstruction priorities, and optimizing maintenance.

The invention discloses an electric energy quality analyzer based on Hilbert-Huang transform, which comprises an electric energy quality actual measurement data acquisition part and an electric energy quality analysis part. The electric energy quality actual measurement data acquisition part can be used for realizing the acquisition of electric energy quality data and is mainly used for conditioning signals and acquiring data; and the electric energy quality analysis part can be used for realizing the detection of transient disturbance characteristic of electric energy quality and the analysis of harmonics by using the Hilbert-Huang transform as a core algorithm. According to the electric energy quality analyzer disclosed by the invention, a method for automatically configuring a superposed high-frequency strong signal during mode mixing for improving the transient oscillation analysis as well as a self-adaptive design scheme of a filter during mode mixing for improving the harmonic analysis are established. The analyzer can be used for realizing the theoretical research on a power system together with a PSCAD /EMTDC ((Power System Computer Aided Design/Electro Magnetic TransientsIncluding DC) under a simulation analysis mode, realizing the quality detection for electric energy of a power grid together with an actual measurement data interface in an actual measurement analysis mode as well as analyzing the actual operation condition of the power system.

The invention relates to the technical field of geological disaster evaluation, in particular to a geological disaster susceptibility evaluation method and device, wherein the method comprises the following steps of selecting an evaluation factor of a study region, wherein each evaluation factor has various types; obtaining the weight among the evaluation factors; calculating different kinds of information quantity values of each kind of evaluation factor according to the existing disaster region factor obtained in advance; calculating the integral information quantity value of the study region according to different kinds of information quantity value of each kind of evaluation factor and the weight among the evaluation factors; determining the geological disaster susceptibility evaluation result of the study region according to the integral information quantity value. By using the method, the geological disaster susceptibility evaluation result errors are reduced.

The invention discloses a comprehensive energy system evaluation method and system based on optimal combination weighting. The method belongs to the technical field of comprehensive energy system evaluation and comprises the steps that an evaluation index system of a comprehensive energy system with p layers is established according to all evaluation indexes of the comprehensive energy system, thefirst layer is a quantitative evaluation result of the comprehensive energy system, and the p layer is a (p-1)-level evaluation index; acquiring numerical values corresponding to the evaluation indexes under different configuration schemes, and constructing an index evaluation standardized decision matrix; calculating subjective weight and objective weight of each evaluation index by adopting a subjective and objective combination weighting method; according to elements, subjective weights and objective weights in the standardized decision matrix, comprehensive energy system evaluation results under different configuration schemes are obtained, and the configuration scheme corresponding to the maximum evaluation result serves as the optimal comprehensive energy system configuration scheme. The subjective and objective combination weighting method is adopted, the evaluation result is more scientific, and the practicability is high.

The present invention relates to a method for identifying human health status based on BP neural network, comprising the following steps: S1, processing the actual measured values ​​of physiological, psychological and behavioral indicators of people who do not suffer from major diseases to obtain the normalization of each indicator value; S2, BP neural network structure initialization; S3, BP neural network recognition training; S4, measure and test the human body to be recognized, and obtain the actual measured value of the selected human body index; S5, use the trained BP neural network to carry out Health status identification. The present invention effectively fuses multiple physiological, psychological, and behavioral index values ​​that reflect the health status of the human body, and provides the health status identification results through the BP neural network model, which not only makes the identification results of the health status of the human body simpler and more intuitive, but also The evaluation results can enable non-professionals to clearly and clearly understand their own health status, and have important guiding significance for the adjustment of human-related life activities and even the prevention and treatment of diseases.

The invention relates to a human health evaluation method based on a physiological health index, comprising the following steps: S1, measuring the human body to be evaluated, and obtaining actual measured values ​​of selected human body indexes; S2, normalizing the actual measured values ​​of each index processing to obtain the normalized value of each index; S3, assigning weights to each index; S4, determining the age and gender weight functions; S5, obtaining the LW index through linear weighting, and then obtaining the TOPSIS index by adjusting the TOPSIS model, and finally obtaining the index weighted Human body's physiological health LW&TOPSIS index. The present invention effectively fuses a plurality of physiological parameter index values ​​reflecting the health status of the human body, and gives the health evaluation result by the way of the human health index, which not only makes the evaluation result of the health status of the human body simpler and more intuitive, but also gives the evaluation result The results can enable non-professionals to clearly and clearly understand their own health status, and have important guiding significance for the adjustment of human body-related life activities and even the prevention and treatment of diseases.

The invention provides a data mining method based on entropy weight algorithm and analytic hierarchy process, which is characterized by including the following steps: S1, collecting original data used for enterprise evaluations; S2, establishing enterprise evaluation systems from four aspects: technology levels of enterprises, competitive capacities of enterprises, economic values of enterprises and social values of enterprises, and determining evaluation indexes; S3, using entropy weight algorithm and analytic hierarchy process to determine index weights of each evaluation index in enterprise evaluations; S4, according to the evaluation indexes and the corresponding index weights, using fuzzy comprehensive evaluation algorithm to conduct enterprise evaluations and get the results of the enterprise evaluations. By establishing an all-around enterprise evaluation system, the data-mining method can evaluate the technical advancements and practical values of enterprises. And by combining entropy weight algorithm, analytic hierarchy process and fuzzy comprehensive evaluation algorithm, the data-mining method makes the results of the enterprise evaluations more objective and scientific, thus revealing more accurately the strengths of science and technology capabilities of enterprises and offering important references for enterprises to make periodic strategic objectives.

The invention discloses a comprehensive software quality evaluation method based on a cloud model and fuzzy aggregation. Firstly, judging experts in different fields make natural language evaluation of quality characteristics, then conversion from qualitative evaluation to quantitative evaluation is performed on evaluation information on the basis of the cloud model, finally, quantitative evaluation information of all the experts is aggregated by using fuzzy soft sets, and a comprehensive judgment result is obtained. With the adoption of the method, conversion from natural language qualitative evaluation values to quantitative evaluation values is realized easily, knowledge and experience of the experts in different fields are fully considered, and different preferences of the experts in all fields are considered. The software quality evaluation method is scientific, just, objective and high in accuracy and can be used for guiding users to purchase and use software and guiding software developers to develop high-quality software products.

The invention relates to a game theory combined weighting-based photovoltaic power plant performance evaluation method. The method includes the following steps that: photovoltaic power plant performance evaluation indexes are selected to establish an evaluation matrix; syntropy processing and normalization processing are performed on the evaluation matrix, so that a standard evaluation matrix can be formed; an analytic hierarchy process is adopted to determine the weight vectors w1 of the evaluation indexes; an entropy method is adopted to determine the weight vectors w2 of the evaluation indexes; a game theory-based combined weighting method is adopted to determine the comprehensive weights of the indexes; and the performance evaluation value of a photovoltaic power plant is calculated according to the comprehensive weights of the indexes, and the performance detection and evaluation of the photovoltaic power plant can be realized. According to the method of the invention, the weights determined by the two different methods are integrated to the comprehensive weights of the indexes through using the game theory, and therefore, the determined weight coefficients can reflect various kinds of information simultaneously, and one-sidedness and arbitrariness of using a single method to select weights can be avoided, and comprehensive and objective evaluation basis can be provided for electric power departments in photovoltaic power plant performance evaluation.

A non-linear optimization decision-making method of planning schemes for oilfield development comprises the following steps that A a planning scheme set to be optimized and a scheme evaluation index set are determined; B an attribute decision-making matrix is built according to index attribute data provided by the schemes; C standardization is performed through different methods according to different index attribute types so that the decision-making matrix can be converted into a standardized decision-making matrix; D the weight of each index attribute is calculated through a combination weighting method, subjective and objective combination is achieved, and the just and ideal weight of each index attribute is obtained; E a weighted standardized matrix is built by means of the standardized matrix obtained in the step C and the weights obtained in the step D; F the schemes are sequenced according to strengths and weaknesses to obtain the optimal scheme by means of an evaluation decision-making model. The method solves the problem that the weights of the index attributes are too objective or subjective, relieves the degree of influence on the weights from the maximum deviation of the index attributes and makes an evaluation result be more scientific, accurate, just and reasonable.

The invention discloses a zoning evaluation method for a roof rock stratum structure of a coal seam, a mining area or a working face. The method comprises the following steps: determining an evaluation object and an evaluation area; determining the cumulative mining thickness of the mined coal seam, determining the caving zone and fissure zone development height of the mined coal seam, determiningthe cumulative thickness of the three-zone rock stratum, zoning, correcting the calculation result, determining the weak surface decline coefficient of the three-zone rock stratum and the complete rock stratum, calculating the roof rock stratum thickness characteristic parameters, and carrying out danger grade division, grading control, monitoring and prevention and control. According to the method, different coal seam inclination angles, coal mining processes, coal mining methods, coal seam group space positions and overlying strata 'three-zone 'distribution rules under overlying strata lithology are comprehensively considered; the method can realize zoning evaluation of the roof rock stratum structure of the coal seam, the mining area or the mining working face, is suitable for mines with rock burst risks, and can also be used for coal seams, mining areas or mining working faces with roof evaluation requirements.

The invention discloses a source network load storage coordination level evaluation method based on a risk thought. The source network load storage coordination level evaluation method is characterized in that a source-grid-load-storage coordination level evaluation model is provided under the background that the source-grid-load-storage coordination optimization mode becomes the development trendof the power system; the source-grid-load-storage coordination level evaluation model firstly analyzes internal and external uncertain factors affecting the coordination ability of the system based on the idea of risk identification, and then establishes an evaluation index system considering multi-agent interaction and layering; and secondly, the source-grid-load-storage coordination level evaluation model proposes a quantitative calculation method of quantitative indexes and a processing mode of qualitative indexes, establishes a source-network-load-storage coordination level evaluation model, and determines the weight of each level of indexes by using an analytic hierarchy process and a Delphi method in combination with an empowerment method. According to the constructed evaluation model, the source-grid-load-storage coordination level of the power system is scientifically and systematically evaluated for planning schemes of three areas of a certain province, and a decision reference is provided for planning and operation scheme optimization of the power department, and the intrinsic safety level of the system can be improved.

The invention discloses an external wound surface model and a using method thereof. The external wound surface model comprises an exudate storing bottle, a pump, a reactor and a waste liquid bottle, wherein the pump is used for conveying wound surface model exudate to the reactor; the reactor is used for conducting antibacterial activity evaluation test; the inlet of the pump and the exudate storing bottle are communicated through an exudate conveying pipeline; the outlet of the pump is communicated with separated chambers of the reactor through pump pipes respectively in a one-one correspondence manner; discharge holes in the reactor are communicated with the waste liquid bottle through a waste liquid discharge pipeline. The using method comprises the steps of assembling the reactor, combining a bacterium-loaded filtration film and sample pieces, conducting action on inoculated microbes by the sample pieces, and presenting the results. Fresh nutrients can be continuously supplied to the microbes, so that the actual growth condition of the clinical wound surface microbes can be simulated, a test platform is provided for antibacterial activity evaluation of antibacterial dressing, and scientific evaluation results can be obtained.

The invention relates to an adolescent health condition dynamic analysis method based on a Hale index. The method comprises the following steps that firstly, actual measuring values of indexes of a person to be evaluated in a base period and a current period are obtained, and the actual measuring values of the indexes are converted to obtain base scores of the corresponding indexes; then, weights of the indexes are set; the base scores of the indexes in the current period are weighted and summed to obtain a health base score of the person to be evaluated; then, a T score of each index is obtained through calculation of the base sores of the indexes in the base period and the current period, the T score is processed on the basis of the Hale index to obtain a progressing score of each index, and the progressing scores are weighted and summed to obtain a health progressing score of the person to be evaluated; finally, the health base score of the person to be evaluated and the health progressing score are added to obtain a health synthetic score and a health dynamic evaluation vector of the person to be evaluated. The evaluation method is simple and reliable, and practicability, effectiveness and applicability under the special environment of the adolescent physical and mental health condition dynamic evaluation method can be effectively improved.

The invention discloses a tree shrew behavioristic evaluation method. The method combines the method for hiding the food of a tree shrew by using a food hiding box, an experimental tree shrew selecting and training method and a study and memory scoring method. The characteristic that the tree shrew is developed in vision is utilized, the food of the tree shrew is hidden in the food hiding box, color marking and training are carried out, a whole experiment is carried out under the conditions that no stimulation influence factor exists, and comparison on behavior changes of the tree shrew is carried out through the average score of the tree shrew before and after the experiment is started. More scientific, comprehensive and objective evaluation results can be obtained through the tree shrew behavioristic evaluation method. The used materials are cheap and easy to manufacture, operation is convenient, and the evaluation method is scientific.

The invention provides a charging station site selection method based on fuzzy hierarchical profit analysis. Site selection is carried out by taking profit as a foothold, fuzzy evaluation is carried out by fully considering a plurality of factors influencing construction and operation of the charging station, and the optimal site selection is calculated by combining historical data and experienceestimation profit conditions of operated stations.

The invention discloses a river and lake main pollution section identification method considering a water quality change trend. The method comprises the following steps: counting annual average concentration values of long sequences of pollutant indexes of different sections of rivers and lakes and an average concentration value for many years; calculating the annual comprehensive pollution indexvalue of each section by adopting a water quality comprehensive pollution index method; calculating the rank correlation coefficient of the comprehensive pollution index of each section by adopting atrend test method; taking the rank correlation coefficient as one of evaluation indexes, and calculating by adopting a principal component analysis method to obtain a comprehensive principal componentscore of each section; determining main pollution sections of the rivers and lakes according to the rank of the scores of the comprehensive principal components, wherein the section with the score from high to low is the section with the influence on the river and lake pollution from large to small. The analysis result of the method not only evaluates the pollution condition of each section of rivers and lakes from the perspective of historical data, but also considers the water quality change trend of each section, so that the pollution degree of each section is reflected more comprehensively and truly, and the evaluation result is more comprehensive and scientific.