264results about How to "Evaluation results are objective" patented technology

The invention pertains to the field of the image fusion technology in image process, which relates to a quality comprehensive evaluation method of fusion images based on fuzzy neural network and comprises the following steps: a sample set of fusion images is established, and each group of samples comprises a subjective evaluation grade sample of fusion images and two or more than two objective evaluating indicator samples obtained by evaluating the fusion image objectively; a quality evaluation module of fusion images based on fuzzy neural network is established; the obtained samples are trained, and the subjective evaluation grade sample of fusion images is adopted as expected output, and the correlation parameters for evaluating indicator weighing and fuzzy membership function are generated through network learning; the objective evaluating indicator of fusion images to be evaluated is calculated, and the evaluation grade result is generated by taking advantage of the established fusion image quality evaluation module. The method of the invention has comparatively good flexibility, and in the way of network training, novel fusion image quality evaluating indicator is learnt, so as to expand network evaluation ability and realize completely automatic evaluation.

The invention discloses a spectral image-based meat quality visual non-contact detection method. By means of spatial distribution information and spectral characteristic information which are contained in a spectral image and reflect the characteristics of an object to be detected, multiple indexes of meat quality (such as water content, water activity, volatile basic nitrogen, meat color, microorganism counts, acid value and pH value) are respectively or comprehensively evaluated, and evaluation results are given in an image mode according to spatial distribution conditions of specific indexes in the object to be detected. The method can be used for quick and non-contact inspection of meat production, processing, storage, transportation and marketing links, inspection results are accurate and objective, and the expression mode is intuitive, so that a guarantee means for supervising the production and marketing quality safety of meat is provided.

The invention discloses a method and a system for service quality detection for a call center. The method comprises the following steps of: obtaining service sound recording of the call center; extracting the attribute information in the service sound recording; determining a parameter value used for quality detection according to the attribute information and the corresponding relationship between the attribute information and a parameter for quality detection; and determining the service quality assessment value of the telephone traffic service according to the parameter value. The method can objectively detect the service quality of the telephone traffic service each time and has high realizing efficiency and high universality.

The invention relates to a system and a method for evaluating comprehensive performance based on an improved radar chart. The method comprises the following steps of: by using a comprehensive performance evaluation model construction module, constructing a comprehensive performance evaluation model through a visual interface; by using a judgment matrix construction module, setting pairwise comparison importance parameters of each index in a user input evaluation model, establishing a comparison and judgment matrix, and performing consistency check; by using a weight value computing module, implementing an analytic hierarchy process, and computing a weight value, relative to a comprehensive performance total target of the system, of each index; and by using a test data processing module, collecting, analyzing and standardizing test data, sending the test data to an evaluation result generation module, computing the comprehensive performance of the system, and performing visual output. By the invention, the problem of non-uniqueness in the area and circumference of the conventional radar chart is solved, so that an evaluation result is more accurate and more objective. The invention can be applied more flexibly and more conveniently.

The invention discloses a power distribution network flexibility evaluation method. At present, the definition of the power distribution network flexibility is fuzzy, and therefore the problem that corresponding research on flexibility evaluation and analysis is deficient is generated. The method comprises the steps that structure parameters and operation data of a power distribution network are acquired; flexibility resources of the power distribution network are classified, and probability distribution of operation features of the flexibility resources is subjected to hypothesis testing by adopting a K-S method; the flexibility resource response accuracy degree is calculated, and the time scale of flexibility evaluation is determined; research objects of evaluation are classified, and corresponding two-way separation and calculation of regulation demands are conducted; system loads and wind-light output scenes are analyzed; a flexibility evaluation two-layer index system model is built and solved; and a flexibility evaluation result of the power distribution network in an evaluation cycle is calculated through weighting by means of an entropy weight method. According to the method, the flexibility in the operation cycle of the power distribution network is subjected to comprehensive quantitative evaluation, the index weight is determined by adopting the objective entropy weight method, the evaluation result is scientific and reasonable and can provide further reference and guidance for planning and optimizing operation of the power distribution network.

The invention discloses a method and a device for evaluating multi-media resources. The method comprises the following steps of collecting a plurality of pieces of user behavior data generated when a plurality of users process multi-media resources at terminals; filtering the plurality of pieces of user behavior data generated within a preset time interval; selecting active users from the plurality of users according to the filtered user behavior data; finding the user behavior data corresponding to the active users from the filtered user behavior data; using the user behavior data corresponding to the active users to evaluate the multi-media resources. According to the method and the device for evaluating the multi-media resources, the user behavior data are filtered first, and then the users are filtered, so that reasonable users and the user behavior data corresponding to the reasonable users are kept and served as evaluation factors for evaluating the multi-media resources, and the obtained evaluation result is more objective.

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 discloses a natural resource asset off-office auditing evaluation method. The method comprises the following steps of S1: collecting natural resource geographic information data requiredfor off-office auditing; S2: preprocessing the natural resource geographic information data in sequence; S3: extracting various to-be-audited natural resource data and controlled area data from the data; S4: performing superposition analysis, extracting conflict area map spots among different data, and performing check to finally determine violation problems; S5: according to map spot data involved by the determined violation problems, correcting special data of to-be-audited natural resources, and performing summarization analysis on the corrected data to obtain areas of the to-be-audited natural resources; and S6: based on a preset natural resource asset off-office auditing evaluation index system, calculating an evaluation result of a to-be-audited object. Deep application of a geographic information technology is realized; and related natural resource quantities, variables, quality and the like can be audited and evaluated.

The invention provides a comprehensive evaluation method for primary frequency modulation performance of a generator set. The comprehensive evaluation method comprises the following steps of determining an index for evaluating the primary frequency modulation performance of the generator set; performing normalized processing on the index for the primary frequency modulation performance of the generator set; determining the weight of the index for the primary frequency modulation performance of the generator set by a subjective and objective weight combination method; and evaluating the grade of the primary frequency modulation performance of the generator set based on a matter-element extension method. According to the comprehensive evaluation method, the dynamic primary frequency modulation performance index is introduced; the advantages of the subjective weight and the objective weight are combined to solve the weight of the primary frequency modulation performance index; the comprehensive evaluation for the primary frequency modulation performance of the generator set can be carried out based on the matter-element extension method; and in addition, the evaluation result is objective, reasonable and safe, so that foundation is laid for assessment of a dispatching department of an electric power system.

The invention discloses a prediction and assessment method for stability of surrounding rocks of a mining roadway. The prediction and assessment method comprises the following steps: inputting measured data of influence factors of surrounding rocks of the mining roadway into a computer; then, retrieving sample data to set up a prediction model of a single kernel function support vector machine; combining selected global kernel functions with local kernel functions to form mixed kernel functions to set up a prediction model of a mixed kernel function support vector machine; utilizing a particle swarm algorithm to optimize penalty factors, kernel parameters and single kernel function coefficients of the predication model to set up a prediction model of a particle swarm algorithm-mixed kernel function support vector machine for stability of surrounding rocks of the mining roadway; and calculating prediction precision and reliability of to-be-predicted samples and assessing the maturity of the model. The prediction and assessment method for stability of surrounding rocks of the mining roadway is easily adopted and scientific. The grade prediction result of stability of surrounding rocks of the mining roadway and the maturity assessment result of the model are accurate and reliable and are highly consistent to the reality.

An electric power communication network survivability evaluating method comprises the following steps: a, parts of an electric power communication network are abstracted as nodes, and physical links are abstracted as edges; b, network efficiency in an original state is calculated; c, each node and each edge are deleted in order, and network efficiency of a newly generated graph is calculated; d, fault influence degrees of each node and each edge are calculated; e, a whole-network survivability degree is calculated; and f, evaluation is carried out on the survivability of the electric power communication network through utilizing the whole-network survivability degree. According to the electric power communication network survivability evaluating method of the invention, the importance degree of each part in the electric power communication system for network performance is taken into consideration, and at the same time, effects of the links in the network are taken into consideration, so that a whole destroy process of the electric power communication system can be reflected. The method eliminates one-sidedness of existing evaluating methods. According to the method of the invention, the evaluated results are more objective and reasonable. At the beginning of an electric power communication network topological structure design process, the method is utilized to carry out quantitative analysis on the survivability of the network, and accordingly a design scheme of the network can be optimized and the survivability degree of the network is raised.

The invention relates to a local solar energy resource abundance evaluating system for design of a photovoltaic power station, which can be widely applied to scientific research and engineering application in the fields related to solar energy. In the system, a data acquisition module is used for acquiring various indexes of four meteorological parameters from a meteorological observation system; an integrated operation module is used for operating and analyzing the acquired meteorological data by a representative meteorological year and month method; an evaluation and quantization value acquisition module is used for stacking annual daily total solar radiation data generated in the integrated operation module to acquire an evaluation and quantization value; and a solar energy resource evaluation module is used for comparing the quantization value with an evaluation system to acquire an abundance evaluation result of the solar energy resources. The system can be widely applicable to various areas and climate conditions, the generated annual daily solar radiation data have representativeness, the evaluation result is objective and reasonable, and the system can meet the requirements on design engineering application of the photovoltaic power station.

The invention discloses a method for constructing a cigarette cut tobacco quality evaluation model based on the analytic hierarchy process (AHP), and belongs to the technical field of cigarette technology evaluation. The method comprises the steps of firstly, determining cut tobacco quality evaluation indexes, constructing an evaluation index hierarchical structure model, and forming an evaluationindex system composed of a target layer, a criterion layer and an index layer; secondly, establishing a relative importance judgment matrix according to the relative importance of the evaluation indexes and the inter-layer structure relationship, and calculating the weight of each evaluation index by an AHP judgment matrix; thirdly, adopting different calculation methods for different types of index scores; and fourthly, constructing a cigarette cut tobacco quality evaluation model by using a statistical weighting method to make a comprehensive evaluation of the cut tobacco quality. Comparedwith the prior art, the method of the invention establishes a cigarette cut tobacco quality evaluation model based on the AHP, and can trace the causes of the cut tobacco quality and overcome the shortcomings that evaluation results are easily influenced by the experts' experience, level and subjective factors. The evaluation results are more scientific.

The invention discloses a variable weight function-based multi-parameter cable state evaluation method. The method comprises steps: a cable state evaluation index set is built; a judgment matrix A is built; normalization processing is carried out on evaluation indexes; a comment set for fuzzy evaluation is built; a membership function corresponding to the evaluation state is set, and a fuzzy judgment matrix R is obtained; an evaluation index variable weight vector W is built; a local variable weight function S is built; and a high-voltage crosslinked cable line comprehensive state evaluation model is built for evaluating the cable state. According to the method of the invention, the index weight changes along with changes of the index value, the problem that the constant weight evaluation method can not present influences on an evaluation target by deterioration of a small weight value state amount can be effectively solved, and the evaluation result is more in line with the actual production and operation state of the cable and even the power grid equipment state.

The invention discloses a multi-dimensional Gaussian cloud model-based rock burst grade evaluation method. The method comprises the following steps of: firstly constructing a rock burst intensity grade evaluation index system, dividing the rock burst into a plurality of grades and determining a grading standard; solving Gaussian cloud digital features of rock burst grades corresponding to indexes and establishing a multi-dimensional Gaussian cloud model; widely collecting a plurality of groups of significant deep engineering rock burst examples to establish a rich training sample library, and solving entropy weights of indexes in an evaluation index set by adoption of an entropy weight method and a programming technology; substituting measured values of the evaluation indexes into the multi-dimensional Gaussian cloud model, and combining corresponding weight calculation to obtain a comprehensive certainty degree attached to the rock burst grades; and finally determining an engineering rock burst intensity grade according to a maximum certainty degree principle. According to the method, the rock burst grades can be comprehensively, objectively and correctly evaluated, and the evaluation result is objective; and a brand new method is provided for the grading prediction of deep underground engineering rock burst intensity.

This invention provides one image test method and fault diagnose system, wherein, the method comprises the following steps: getting step to get multiple original data; training steps for original data to optimizing prediction mode system parameter; predicting by use of prediction module. This invention method and system can realize early detecting for machine faults.

The invention provides a visual attention detection method based on eyeball movement and a system thereof. The method comprises the steps that visual attention test content is displayed through firstdisplay equipment; acquiring a plurality of face images when a testee reads the plurality of E-shaped marks, identifying eye images corresponding to the face images according to the plurality of faceimages, and determining pupil position data of the eye images according to the plurality of eye images, based on the pupil position data, determining fixation point position information of the visualattention test content of the testee on the first display equipment, and determining the visual attention level of the visual attention testee according to the fixation point position information andthe visual attention test content. According to the technical scheme, the visual attention of the visual attention testee can be evaluated automatically, so that the evaluation is more objective, andthe defects of an existing clinical visual attention detection technology are overcome.

The invention belongs to the field of land evaluations, and provides an improved mining industry derelict land reclamation appropriateness fuzzy synthetic evaluation method. The improved mining industry derelict land reclamation appropriateness fuzzy synthetic evaluation method comprises the step of establishing an evaluation index system, the step of determining evaluation index weights, the step of dividing evaluation units based on a mining industry waste map spot extracted from a remote sensing image, the step of determining the evaluation unit dividing sequence according to the evaluation index weights and data obtaining precision of the evaluation index weights, and the step of constantly adjusting the dividing line to enable the evaluation unit shapes and the areas to facilitate production practice to finally obtain the evaluation unit meeting the requirement according to the proportion of the index values of the evaluation indexes in the mining industry derelict land map spot grid area. In addition, the evaluation indexes are divided into a quantitative evaluation index and a qualitative evaluation index, different subjection functions are established for different types of evaluation indexes, and a reclamation appropriateness grade for a specific purpose is obtained. The improved mining industry derelict land reclamation appropriateness fuzzy synthetic evaluation method has the advantages that the evaluation result is more objective and accurate, the workload is low and the evaluation method can directly serve for production practical.

The invention discloses a machine-made particle-shaped evaluation method. The method comprises the following steps: (1) acquiring an image; (2) preprocessing the image; (3) extracting and calculating two-dimensional characteristic parameters of the image; (4) measuring apparent density and bulk density; and (5) extracting and calculating three-dimensional characteristic parameters of the image. The method has the characteristics of being convenient, quick, accurate and objective in evaluation result.

The invention is a general river water quality estimate method with index mark and relates to a new river water general quality estimate method. The invention estimate the general water quality with the help of general water quality index mark WQI which consists of the integer numbers and the numbers after arithmetic point totally three to four effective digits which is WQI=X1X2X3X4. X1 stands for the general water quality variety and X2 the location the general water quality is in in the X1 interval and X3 the compare result of the general water quality variety with water environment function area variety namely the pollution stage of the water section and X4 for the numbers of the water index marks which do not meet the water environment function section objective. The general water quality mark consists of two parts in which X1X2 is the general water quality index mark and X3X4 the marking. The invention is able to fully describle the general water quality information so to estimate the water in quality and quantity.

The invention discloses a credit evaluation method based on an AHP (analytic hierarchy process). The credit evaluation method based on the AHP includes: confirming a credit evaluation grade set; confirming a multilevel evaluation index, and constructing an index evaluation system of a four hierarchy structure formed by an overall objective layer, a criterion layer, a discrimination layer and an index layer according to the confirmed evaluation index; confirming value ranges of the evaluation index of the index layer according to three modes of using an actual number, a percentage and a status value; using a matrix judgment method to calculate the weight of the evaluation index according to the importance degree of the evaluation index and structural relationships among the four layers, confirming the value of the evaluation index according to information which constitutes an index element, and then using a preset subordinating degree function to calculate the subordinating degree valued of the evaluation index according to the value of the evaluation index; using the AHP to evaluate the credit grade of an evaluated object. The credit evaluation method based on the AHP has the advantages of being objective, scientific and accurate, and can be widely used in the credit evaluation field.

The invention relates to a method and a system for integrated risk calculation of a computer information system, comprising the following functional modules: an original factor initial risk reliability valuator forms original factor initial risk reliability vector and a comprehensive risk reliability calculator connected with the original factor initial risk reliability valuator for calculating and evaluating the comprehensive risk reliability of the object; the method comprises the following steps: building risk level standard, analyzing the object and building weight, evaluating the original factor initial risk reliability, building risk reliability matrix, calculating the comprehensive risk reliability and quantizing the comprehensive risk. Evaluation factors are used as evidence of the evaluation object, and the risk of the evaluation object is calculated with an evidence synthesis method; the result of the evaluation factors is synthesized from the angle of the evidence, so as to be capable of directly expressing the uncertain or unknown factors in the evaluating process, and the information is kept in the synthesis process of the evaluation factors, thus leading the evaluation result to be more objective and real.

The invention discloses a solar power generation capacity prediction method for a photovoltaic power station. The method includes the steps of firstly, calculating the annual average peak sunshine hours of recent years of the region where the photovoltaic power station is located and the installed capacity of the photovoltaic power station; secondly, calculating the solar power generation capacity Wn of the nth year of the photovoltaic power station and the total solar power generation capacity Wtotal of set years of the photovoltaic power station according to the annual average peak sunshine hours, the installed capacity and photovoltaic module attenuation rates. The method has the advantages that the method is applicable to various regions and meteorological conditions, the generated daily average irradiance of each month, annular average irradiance, installed capacity, annual solar power generation capacity in N years and total solar power generation capacity are representative, solar irradiation data accuracy of regions away from a local solar irradiation observation station or regions without a solar irradiation observation station is increased, and prediction and evaluation results are objective and reasonable.

The invention discloses a meat quality visualization detection device based on a static hyperspectral imaging system, which comprises a light chamber, an imaging system, an image processing and detecting arithmetic unit and a display unit; the light chamber is internally provided with a high-sensitivity camera, a detected object and a light source; the light chamber comprises two independent spaces; a light insulation plate with an observation hole is arranged between the two spaces; the imaging system and the detected object are respectively arranged in the two spaces; the light source is arranged in the space where the detected object is located; for the space of the imaging system, a data output end of the high-sensitivity camera is connected with a data input end of the image processing and detecting arithmetic unit; a display signal output end of the image processing and detecting arithmetic unit is connected with a display signal input end of the display unit; and a data signal output end of the image processing and detecting arithmetic unit is connected with an external equipment interface. According to the device provided by the invention, the detection result is correct and objective, and the expression manner is intuitive, so that guarantee is offered for the quality safety supervision in the production, storage, transportation and sale links of meat.

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 method for correcting excessive adsorption quantity of adsorbate gas in an isothermal adsorption experiment. The method comprises the following steps: (1) carrying out an isothermal adsorption experiment of the adsorbate gas on an adsorbate to obtain a curve between the excessive adsorption quantity of the adsorbate gas and pressure; (2) selecting at least three points with a linear relation on the curve, obtaining the gradient of a straight line expressed by the linear relation according to a least square method and recording the gradient as k; obtaining a free volume difference amount corresponding to the adsorbate gas with the unit mass according to a formula (1) and recording the free volume difference amount as Vfree-difference; (3) obtaining the corrected excessive adsorption quantity of the adsorbate gas according to a formula (2), so as to realize the correction of the excessive adsorption quantity of the adsorbate gas. In the experiment, a measurement error of the excessive adsorption quantity seriously misleads the exploration and exploitation of shale gas. The excessive adsorption quantity corrected by the method is used for evaluating shale gas resources and an evaluation result is more objective.

The invention discloses a solar wing spreading reliability estimation method based on a multilevel gray comprehensive model. The method comprises the following steps: determining a reliability estimation index set, and determining an index grade; organizing experts to score the index set; establishing an evaluation matrix, and determining an evaluation grey class; computing weight of each factor by using a matter element method and an analytic hierarchy process; computing a grey evaluation coefficient; and outputting a comprehensive evaluation result. The method provided by the invention is applied to the reliability estimation on a small sample and a limited information experiment object, and can accurately estimate the solar wing spreading reliability. The method has the advantages that the reliability factor can be layered, and the analytic hierarchy process is combined with the matter element method to determine the weight of the reliability factor, and the comprehensive estimation result is intuitive, objective and credible.

The invention provides a virtual ocean battlefield 3D visualization effect assessment method, and belongs to the technical field of virtual reality. Firstly, the hierarchical relation of indexes is assessed through the analytic hierarchy process according to the virtual ocean battlefield 3D visualization effect, and the subjective weight reflecting an expert knowledge base is obtained through qualitative and quantitative analysis; the objective weight is determined through the difference drive principle according to the variation degree of the indexes in index sets and the degree of influence on other indexes. The two methods are combined so that the insufficient data volume caused by objective empowerment can be avoided and randomness of subjective empowerment can also be overcome, and the evaluation result is more objective and reasonable. Besides, game theory weight sets become consistent and transigent between the subjective weight and the objective weight, the sum of deviations between the mixed weight and each weight is the smallest, and therefore weight optimization is achieved. Finally, aggregation of the indexes and the weights is achieved by means of double-base-point multi-attribute decision making, closing to an ideal solution and keeping away from a negative ideal solution are used as criterions for evaluating various feasible programs, and a virtual ocean battlefield simulation system is built at last.

The invention discloses a tourism resource recommendation method and system based on tour behaviors. Scenic spot identifiers are provided for intelligent tourist terminals through arranging Bluetooth position label equipment at each scenic spot, and detailed tour tracks of the tourists at the scenic spots can be accurately acquired by the intelligent terminals; tour behavior data of the tourists is acquired by the intelligent terminals of the tourists, evaluation on each tourism resource can be acquired through calculating the tour behavior data of each tourist, and the recommendation result can be dynamically generated. The method is advantaged in that the evaluation data and the recommendation result of each scenic spot of a scenic region can be accurately acquired, the result can be acquired through calculating the tourist tour behaviors, objective and comprehensive properties can be realized, moreover, tour prices of tour resources dynamically change along with seasons, through statistics of the tourist tour behaviors at different time segments, the dynamic scenic region and scenic spot recommendation results at the different time segments can be acquired.

The invention discloses a water resource bearing capacity evaluation method. The method comprises the following six steps of: firstly, determining an evaluation index weight by utilizing an information entropy principle; secondly, constructing a set pair model of an evaluation region and water resource bearing capacity evolution, introducing a concept of contact numbers, and contacting the identical discrepancy contrary of the set pair model; thirdly, based on an evaluation index system, calculating the contact numbers of each layer respectively from the bottom to the top, obtaining the contact number of the last layer in turn by combining a weight vector, and analogizing one by one by obtain the contact numbers of the overall system; fourthly, determining the values of the contact numbers of the systems at each level and a principal value of an n-component contact number by utilizing an equipartition principle; fifthly, equally dividing an interval [-1,1] into n levels by utilizing the equipartition principle according to the concept of the contact numbers to obtain n level intervals; and finally, comparing the values of the contact numbers of each level in the fourth step and the n level intervals divided equally in the fifth step, and analyzing the average mu is positioned in which interval, wherein the level corresponding to the interval in which the average mu is positioned is the evaluation level of the water resource bearing capacity.