275 results about "Fuzzy mathematics" patented technology

The invention relates to a mountainous area highway landslide risk evaluation model. The method is based on the theory of fuzzy mathematics, uses fuzzy comprehensive evaluation method, Delphi method, analytic hierarchy process and other methods to calculate the membership influencing hazard and vulnerability of highway side slope so as to obtain index evaluation level of hazard and vulnerability of slide slope risk, on the basis, adopts method of risk evaluation matrix to carry out risk evaluation of talus side slope. The model can predict, recognize, assess and analyze the slide slope risk of side slope that is possible to meet, and on the basis effectively cope with the risk to avoid or reduce the hazard of landslide geological disaster on national economy and life and property of people, and can take measures such as corresponding prevention and treatment on the basis of judgment and prediction of development and change trend of the landslide body.

The invention discloses an evaluation method of a leather-making industry technology based on a fuzzy comprehensive evaluation method. The method comprises the steps of: utilizing a multi-index hierarchy analysis method and fuzzy comprehensive evaluation in the evaluation to consider the influence factors such as economy, society, environment and performance and the like, and on the basis of establishing a multi-hierarchy evaluation index system, combining a multi-hierarchy index weight analysis method and the fuzzy membership concept of uncertain indexes in fuzzy mathematics. In the evaluation method, the comprehensive and reliable evaluation can be carried out on the whole production process of the leather-making industry, and effective technical support can be provided for environment management such as the evaluation on environmental influence of the leather-making industry, engineering design, construction, inspection and acceptance, operation management and the like.

The invention belongs to the technical field of cloud computing and network safety, and in particular relates to a cloud data center real-time risk assessment method based on mainframe log analysis. The method comprises: providing four risk factors, namely alarm quantity, alarm type, alarm type and alarm threat level, influencing an asset risk index based on an intrusion detection system and a vulnerability scanning tool OSSEC of a mainframe log, and using the four risk factors as evidences for assessing the risk situation of asset, combining evidence theory (D-S theory) with thought of fuzzy mathematics, designing DSFM (D-S Fuzzy Mathematic) algorithm, and combining the evidences to obtain the asset risk index RI; combination of the risk index and asset value is the risk value R of the asset; combination of all asset risk values of one data center is the risk value of the data center. Simulated strike experiment shows that the method can be used for assessing the risk of whole cloud data center system in real time, and the obtained assessing result is high in accuracy.

The invention relates to a small current grounding route selection system, in particular to the improvement of a grounding fault route judgment method, which belongs to the technical field of electric power engineering. The method comprises the following steps: 1) setting the sampling data window time of measuring variables 3U0 and 3I0, collecting n measuring variables, and carrying out gross error removal on each measuring variable; 2) organically combines a group amplitude comparison and phase comparison method and a watt component method, and utilizing a fuzzy mathematical tool for setting membership grade functions for two criteria, substituting route selection results obtained by the two methods into the membership grade functions to obtain the membership grade of the route selection results, i.e. the credibility, wherein the route selection result with the highest membership grade is the composite route selection result, and the second highest membership grade is used as the reference; 3) organically carrying out trial jump on the route selection of a fault route switch for reaching the effect that the operation is more safe and reliable, and the fault positioning is more accurate; and 4) carrying out route selection again every ten minutes for preventing the grounding route conversion. Grounding time, routs (sequentially ranged from the large possibility to the small possibility) with large grounding possibility and 3U0 and 3I0 values of all outlet wires on a bus line section with the occurrence of small current grounding are displayed in an information frame.

The invention discloses a comprehensive evaluation method and system of an overall state of a transmission cable. The method comprises the steps of determining an evaluation factor set U, a state set V and a factor and state matrix W based on the transmission cable, establishing a judgment matrix R based on the transmission cable, determining an evaluation factor weight vector A, conducting fuzzy comprehensive operation, and using a maximum membership degree principle to fuzzify to obtain a final result of state evaluation. According to the technical scheme, the respective advantages of fuzzy mathematics and an analytic hierarchy process are combined, and the analytic hierarchy process is used for conducting comprehensive evaluation on the entire state of the transmission cable.

The invention provides a large legal data management system based on fuzzy inference. The system comprises a data collection module, a data preprocessing module, a database module, a central server, an information push module and a mobile terminal; the data collection module is used for collecting laws and regulations, cases, monitoring, legal practitioners and social data, storing the same in corresponding databases, and storing the data in the database module after being processed by the data preprocessing module to be trimmed and classified, a fuzzy inference module of a central database carries out large data analysis on the legal provisions and case data and generates accurate case analysis and relevant legal analysis reports, and finally, the information push module pushes the reports to the mobile terminal to provide accurate legal services for users. According to the large legal data management system based on fuzzy inference provided by the invention, internal data relations in related legal laws and regulations systems, case systems, monitoring systems, legal practitioner systems and social systems in law management are mined in depth by the fuzzy mathematics algorithm to provide accurate and efficient quantitative tool support for judicial works.

The invention discloses a distribution network planning scheme evaluation data processing system which comprises an economic index processing module based on whole life cycle cost, a reliability index processing module based on a minimal path method, and a flexibility index processing module based on maximum power supply capability. The economic index processing module based on the whole life cycle cost is used for taking the investment cost, operation and maintenance cost, life period and the like as input data, calculating and processing the data and outputting the whole life cycle cost and traditional financial evaluation indexes; the reliability index processing module is used for taking the planning scheme structure, equipment parameters and the like as input data, outputting the system average interruption frequency and other indexes of load nodes and the equivalent mean interruption duration on the system side and the other indexes; and the flexibility index processing module based on the maximum power supply capability is used for outputting the maximum power supply capability, the network transfer capability and the other indexes. Finally, comprehensive evaluation of multiple indexes is realized by adopting a fuzzy mathematics comprehensive evaluation module. Compared with the prior art, the distribution network planning scheme evaluation data processing system disclosed by the invention has the advantages of comprehensiveness and practicality.

The present invention provides an anti harassment incoming call/ information mobile terminal and an anti harassment incoming call/ information method. The method comprises the steps of obtaining all telephone number information associated with the terminal; setting attribute information for all telephone numbers respectively and storing the attribute information, and calculating the comprehensive credibility of each telephone number by a fuzzy comprehensive algorithm and according to various attribute information, and storing the comprehensive credibility; for a new incoming call/short message, finding the matching information in an attribute database, and determining whether the new incoming call/short message is the harassment information according to the comprehensive credibility corresponding to a caller ID and a cloud query mark, thereby intercepting or not intercepting the incoming call/short message. The mobile terminal and method of the embodiment of the present invention use the algorithm of fuzzy mathematics, and determine by combining the cloud and local number characteristics and a keyword method, thereby being more scientific and accurate, and reducing the misjudgment rate.

The invention provides a hypotonic gas deposit horizontal well staged fracturing measure decision making method and belongs to the field of oil-gas field development. The method includes collecting fractured layer electric performance, physical performance, oil-gas possibility parameter, post-fracturing daily gas production quantity and opening flow capacity, applying mathematical statistics and the fuzzy mathematic theory, quantizing various parameters affecting fracture effect, calculating layer selection coefficient and conducting relevant analysis on layer selection coefficient and fracture effect to determine layer selection coefficient threshold that the fracture effective output corresponds to. When evaluation is conducted on the fracturing horizontal well section by section, fracturing is conducted on the well sections with layer selection coefficient reaching the threshold and is not conducted on the well sections with the layer selection coefficient not reaching the threshold. The method changes empirical performance and randomness of fracturing well section measure decision making of a horizontal well, improves accuracy and measure efficiency of horizontal well section fracturing measure decision making and hypotonic gas deposition development effect.

The invention discloses a method for repairing a fault of a wireless sensor network. The method comprises the following steps: S1, based on a fuzzy mathematics and linear program method, establishing a membership matrix which represents the membership degree of a redundant node on a fault node a replacement matrix which represents the redundant node on the fault node and restriction conditions; S2, according to the membership matrix and the replacement matrix, constructing a target function of the redundant node to replace the fault node; and S3, based on a genetic algorithm, selecting an optimal redundant node to replace the fault node. By utilizing the method provided by the invention, the defect that at present, the energy problem is not abundantly considered in the aspect of study on the fault repairing problem is solved, wherein the problem can be more appropriately described by using the used fussy theory, and various influence factors are considered in the calculation of the membership function, thus network conditions are comprehensively reflected; and by using a genetic simplex method, the defect that the genetic algorithm is early matured is solved, a searching space is developed, and the convergence in the later period of searching is good.

The embodiment of the invention provides a software performance evaluation method and a system thereof; the method comprises the following steps: step S1, an evaluated object and an evaluation factor set of the software performance are set; step S2, the evaluation index of the evaluation factor is set; step S3, the weight of the evaluation factor is calculated; step S4, the membership degree of the evaluated object to the evaluation factor is calculated; step S5, the evaluated result is obtained according to the weight and the membership degree. In the embodiment of the invention, by adopting a fuzzy mathematics theory method, the whole solution on the evaluation of the software performance is obtained, all evaluation factors of the software performance are considered comprehensively, the uncertainty and fuzziness of the software performance evaluation are reduced, so as to carry out quantitative, scientific, rational and comprehensive evaluation to the software performance when the software performance has multiple evaluation factors and indexes.

The invention discloses a method and system for evaluating the quality of tobacco materials. According to the method and system for evaluating the quality of the tobacco materials, multiple indexes of a tobacco material sample are comprehensively analyzed and evaluated by means of multiple methods such as the fuzzy mathematics, principal component analysis and comprehensive evaluation by selecting an evaluation index system and an evaluation function, then a comprehensive evaluation index is obtained, and objective evaluation of the quality of the tobacco material is obtained automatically. The method for evaluating the quality of the tobacco materials can overcome the defect that according to a traditional single method for evaluating the quality of tobacco, the usability of the tobacco is evaluated and the production condition of a tobacco base is guided purely by means of the appearance quality of the tobacco, a user can learn the quality of the tobacco in the base on different aspects objectively and comprehensively, and a basis is provided for reasonable utilization of the tobacco materials during formula design and maintenance.

The invention discloses a beam structure non-probabilistic reliability solving method capable of considering multi-failure modes. The correlation of two failure models including strength and rigidity is considered; firstly, existing multisource uncertain factors in material characteristics, environment external loading and the like are fully considered, interval mathematics and fuzzy mathematics are adopted to carry out quantization on the multisource uncertain factors and develop propagation analysis; then, the multisource uncertain factors are introduced into a general reliability solving theory, the non-probabilistic reliability solving method is developed, and on the basis of the method, the strength and rigidity reliability degree analysis of a beam structure can be independently carried out; and finally, the correlation of two failure models is comprehensively considered, a correlation constitutive relation equation is established, and the reasonable representation of the correlation among failure modes is realized. The method gives the comprehensive influence on structural strength reliability by different failure modes, can realize the comprehensive optimization design of the structural strength, and guarantees that the design gives consideration to safety and economy.

The invention provides a method for mining data of a novel urban electric vehicle charging station system. The method comprises the following steps of establishing a data warehouse, and collecting and recording the data of the charging station system and an electric vehicle user in real time; classifying, pre-processing and discretizing the collected and recorded data, and extracting a required feature data set; evaluating the element membership of the feature set by a fuzzy mathematic and probability statistics theory, and parameterizing; calculating the parameterized set, and obtaining a relation matrix of the user charging demand, the charging area and the charging time; extracting and evaluating the results, and feeding and outputting the evaluation conclusion to a management center of the charging station system and a user mobile terminal, so as to assist to make a decision. The method has the advantages that the benefits of the charging station planning and the movable electric vehicle scheduling are maximized, and the charging requirement of the user is met.

The invention relates to a coal rock interface analysis method based on coal mining machine perception, and is realized based on a coal rock interface analysis system based on the coal mining machine perception. The system is composed of a large-capacity data storage device, a coal mining machine electrical main controller, an intrinsically safe type vibration accelerated speed sensor and the like. In the method, through coal mining machine working parameters composed of vibration signals, voltage and current and temperature torque of coal mining machine cutting and traction motors, coal mining machine rocker arm lifting oil cylinder pressure, and traction motor speed signals, signal characteristics of coal mining machine drum cutting teeth cutting coal and rock different roofs and floors situations are analyzed, wavelet packets are used for analyzing energy features of different frequency bands of the vibration signals, probability and statistic samples are used for analyzing feature distribution of the cutting machine working parameters, a multi-sensor information fusion technology is used for comprehensive establishment of different coal rock character databases, a coal mining machine perception coal rock interface is defined through a fuzzy mathematic theory, and a coal rock interface membership degree is calculated according to the coal mining machine perception multi-sensor information, so as to be used as a coal rock interface recognition basis.

The invention belongs to the technical field of electrical power system risk evaluation, and particularly relates to a multi-index fuzzy evaluation method for grid faults caused by disasters. The evaluation method comprises the following steps of providing four indexes for evaluating a grid affected by the disasters according to an operational aspect of an electric transmission line; fuzzifying the indexes by utilizing a fuzzy mathematic theory; respectively carrying out weight analysis on the evaluated indexes through an analytic hierarchy process and an entropy evaluation method to obtain a primary weight and a secondary weight of each evaluated index; and synthesizing the weights obtained by the two methods, and combining a method of weighted mean obtain a comprehensive evaluation result of the grid faults caused by the disasters, and form a fuzzy synthetic evaluation method. The evaluation method takes multiple influence factors of natural disasters on the grid into account, can be used for carrying out comprehensive comparison and analysis on influence of various natural disasters on the grid, and has stronger comprehensive and objectivity.

The invention discloses an image registering method based on a manifold subspace, comprising the following steps: (1) respectively reading in a target image and a floating image to be registered; (2) respectively calculating the phase consistency of the target image and the floating image to be registered in different scales and directions; (3) fusing information with the phase consistency in different scales and directions by using a manifold subspace method; (4) looking main-phrase consistency information of the target image and the floating image as fuzzy congregation, adopting nearness in fuzzy mathematical, and calculating the fuzzy similarity of the main-phrase consistency information; (5) using the fuzzy similarity of the main-phrase consistency information as an object function, and adopting powell algorithm to search a maximum value of the object function; finishing the registering when the fuzzy similarity reaches maximum. Under the conditions of lower image space resolution, noise influence, and the like, the image registering method has high registering precision and strong robustness.

A rapid screening method of processing raw materials for rice products is disclosed. The invention establishes a membership function between the raw materials and the processing suitability of raw materials by adopting theories in fuzzy mathematics. In combination with the analytic hierarchy process to obtain the weight of each evaluation index, the invention then establishes a two-level evaluation model for evaluating the quality of the rice products to improve the scientificity and accuracy of rice products' quality evaluation. On the basis of the above, a mathematical model between the characteristics of raw materials and the comprehensive evaluation values of the quality of rice products is constructed through regression analyses, which can quantitatively calculate the suitability of different varieties of raw materials in the processing of rice products and can provide support for reasonable use of the raw materials.

The invention relates to a method and a system for automatically generating an urban road traffic guidance strategy. According to the method and the system, by applying the intelligent traffic theory, the spatial autocorrelation theory, the fuzzy mathematic theory, an statistical method and the computer technology, real-time traffic flow data and historical data are researched and processed, and therefore, under the condition that a traffic incident occurs in a road traffic network, the traffic guidance strategy which can be released in time through VMS (variable message signs) on a road is automatically generated. According to the method and the system, by taking historical artificial guidance information and the real-time traffic flow data as input data, on the basis that historical guidance empirical laws are analyzed and real-time traffic flow features are excavated, a final guidance release strategy is determined by applying a traffic state spatial inequality analysis method provided by the invention. A proposal and strategy scheme can be provided for the quick release of the guidance information of an urban traffic management department when certain traffic incidents occur, such as road accidents, congestion, severe weather, management and control, and the like.

The invention relates to a mass flux soft measuring method for measuring the concentration of coal dust in a station boiler. The method provides a decomposition-and-synthesis-based multi-model weighted average solid-phase mass flux nonlinearity soft-measuring model by utilizing the fuzzy mathematics. The method can effectively reduce the influence of flow pattern on the measuring accuracy of a multiphase flow flowmeter, thereby improving the precision of concentration measurement. The soft measuring model based on the electrostatic sensing technology and the fuzzy rules can be applied to multiphase flow parameters measurement based on different detection principles. The system has the advantages of simple structure and easy realization.

The invention provides a new multi-object tracking and data interconnection method based on whole neighborhood fuzzy clustering. According to the method, measurement distribution in a region is determined, a determination matrix is built in combination with a related wave gate of each object, a statistical distance is built according to a plot-track association rule, a predication position of each object serves as a clustering center, a fuzzy clustering method in fuzzy mathematics is used, probabilities of interconnecting a candidate measurement with different objects in a related wave gate are calculated, and through probability weighted fusion, each object state and a covariance are updated. The method achieves great improvement in the aspect of real-time filter tracking, the tracking precision and the effective tracking rate are close to those in a classical JPDA algorithm, and a new solution is provided for a real-time multi-object tracking problem in clutter environment.