235 results about "Decision making analysis" patented technology

The present invention is applicable in the field of corporate finance, corporate capital investments, economics, math, business risk analysis, simulation, decision analysis, qualitative risk analysis, risk management, quantitative risk analysis, and business statistics, and relates to the modeling and valuation of investment decisions under uncertainty and risk within all companies, allowing these firms to properly identify, assess, quantify, value, diversify, and hedge their corporate capital investment decisions and their associated risks. Specifically, the present invention looks at starting from a comprehensive qualitative risk register and moving the analysis into the realms of quantitative risk modeling, simulation, and optimization.

The present invention is applicable in the field of sales performance management coupled with corporate finance, corporate capital investments, economics, math, business risk analysis, simulation, decision analysis, qualitative risk analysis, risk management, quantitative risk analysis, and business statistics, and relates to the modeling and valuation of investment decisions and sales performance management and analysis under uncertainty and risk within all companies, allowing these firms to properly identify, assess, quantify, value, diversify, and hedge their corporate capital investment and sales management decisions and their associated risks. Specifically, the present invention looks at starting from comprehensive qualitative sales performance management and moving the analysis into the realms of quantitative risk-based sales performance modeling, simulation, and optimization.

The present invention is applicable in the field of corporate finance, corporate capital investments, economics, math, risk analysis, simulation, decision analysis, and business statistics, and relates to the modeling and valuation of investment decisions under uncertainty and risk within all companies, allowing these firms to properly identify, assess, quantify, value, diversify, and hedge their corporate capital investment decisions and their associated risks

A value-driven build-to-buy decision analysis system and method is provided that addresses and integrates the system analysis for multiple parts of the build-to-buy business cycle. The system and method of the present invention includes a demand component and a supply component. The demand component includes decision analysis components for one or more demand oriented activities in the build-to-buy cycle, such as selling and buying activities. The supply component includes decision analysis components for one or more supply oriented activities in the build-to-buy cycle, such as product creation, product packaging and product pricing activities. Each decision analysis component utilizes values-based object-oriented analytical models.

An adaptive decision process is disclosed for more effectively and efficiently determining and conducting information gathering and evaluation associated with decisions. The adaptive decision process integrates decision analysis, value of information analysis, design of experiment models, and the inferencing of gathered information, including experimental results. The process enables an automatic, adaptive, closed-loop process for attaining additional information and assimilating the attained information into the decision model.

The invention provides a visual road maintenance decision making system. The visual road maintenance decision making system comprises an information collection module, an evaluation indicator module and a maintenance decision making module, wherein the information collection module is used for collecting road maintenance information and establishing a maintenance decision making information database; the evaluation indicator module is used for analyzing detection indexes according to maintenance patrol content and calculating each road section index numerical values of road so as to display road condition by using a three-dimensional visual interface and show an index fluctuation trend by using a visual statistical chart; and the maintenance decision making module is used for integrating each evaluation index in the evaluation indicator module and the road maintenance information of the data collection module, distributing maintenance fund and providing a maintenance plan for the road based on the three-dimensional visual interface. According to the system, the maintenance decision making consideration factors are enlarged, the accuracy and effectiveness for decision making are strengthened, the maintenance decision making work is more convenient and visual through visual interaction, and the road condition and decision making analysis data are effectively controlled by a user, so that the maintenance efficiency is greatly improved.

The present invention is applicable in the field of corporate finance, corporate capital investments, economics, math, risk analysis, simulation, decision analysis, and business statistics, and relates to the modeling and valuation of investment decisions under uncertainty and risk within all companies, allowing these firms to properly identify, assess, quantify, value, diversify, and hedge their corporate capital investment decisions and their associated risks

The invention relates to an intelligent irrigation fertilization decision-making control system, comprising an input unit, an output unit, a data acquisition unit and an irrigation control unit, wherein, a decision-making analysis unit arranged in a decision control database receives the data from the input unit and exchanges data with a privilege unit after processing the received data, and then exchanges data with a fuzzy reasoning unit which also receives output data of a data management unit; after performing logical judgment and processing according to the received data, the fuzzy reasoning unit outputs the data to a control management unit; a sensor of the data acquisition unit acquires and transfers the soil humidity data to the data management unit; a controller of the irrigation control unit receives the data from the control management unit, and transfers the data to a switching quantity output module after processing, and the switching quantity output module transfers the data to a solenoid valve. The intelligent irrigation fertilization decision-making control system has the advantages that: crop physiological water demand indicators are introduced into the computer automatic control field, the irrigation fertilization decision-making is carried out through an irrigation indicator database and the fuzzy classification technology.

The invention discloses an on-line transmission line lightning shielding failure trip early-warning method. The method comprises the following steps of: performing statistics on historical lightning shielding failure trip information to obtain transmission line lightning shielding failure trip probability distribution by a two-dimensional information diffusion theory and a conditional probability method; selecting radar forecast data, such as echo intensity, echo tops and vertical accumulated liquid water content; establishing a lightning current magnitude prediction model based on a back propagation neural network; and sending real-time early warning and an early warning grade of transmission line lightning shielding failure trip probability according to the predicted lightning current magnitude and the side distance to lightning stroke and by virtue of the transmission line lightning shielding failure trip probability distribution model. According to the real-time forecast data of a meteorological radar, the method provided by the invention can predict the trip probability of a transmission line and send an early warning signal, thereby providing reference for decision-making analysis of grid dispatching operators, making a transmission line dispatching strategy in time, improving power supply reliability, lowering economic loss of a grid, and improving the reliable running ability of the grid.

The invention discloses a comprehensive information management system for a smart city pipeline network. A monitoring module is in communication connection with a data center; an inspection module is in communication connection with a monitoring center; the data center is also connected to an operation processing center; the operation processing center carries out processing on obtained data, and respectively carries out early warning analysis, line inspection management, three-dimensional display, web publication and decision-making analysis; and the operation processing center carries out a communication connection on an early warning analysis result and the monitoring center. With a smart city as a main body framework, complete and accurate information and the underground space distribution condition are provided for urban underground pipeline infrastructures through the monitoring module; rough construction can be avoided; an accident of broken pipelines is reduced; the safety of underground pipelines is ensured; and according to the comprehensive information management system for the smart city pipeline network, a decision-making aid can be provided for accurate and efficient pipeline management, pipeline accident prevention and emergency command processing after an disaster accident.

A generative investment process method and system is disclosed for managing investment opportunities. The process applies recursive decomposition to investment opportunities and applies a discrete combinatorial model to the resulting combinatorial investment portfolio, enabling evaluation of existing opportunities and generation of new opportunities. The process may apply decision analysis, value of information analysis, design of experiment models, and inferencing of gathered information, including experimental results. The process enables an efficient and adaptive approach to attaining additional information and assimilating the attained information into the investment opportunity decision process.

The invention provides a municipal drainage pipe network decision evaluation method, which comprises the following steps of building a drainage pipe network model and conducting the model analysis on the basis of online monitoring; auditing a pipe network maintenance plan on the basis of the model analysis; diagnosing the current situation of a pipe network on the basis of the model analysis; and making strategic decision for the pipe network plan on the basis of the model analysis. By utilizing the method, a comprehensive municipal drainage pipe network decision evaluation method based on a global information system (GIS) technology, a monitoring technology and a model technology is provided, and effective integration of multiple technologies is realized, so that the decision evaluation process not only has a professional calculation and analysis function provided by the drainage pipe network model, but also has a direct display and space analysis capacity by utilizing the GIS technology and utilizes the monitored data to improve the model accuracy and confidence, so that the defects that the traditional decision analysis result is difficult to read, the evaluation mean is simple, the accuracy of the model is difficult to guarantee and the like can be overcome, and the decision evaluation level of the drainage pipe network can be greatly improved.

The invention relates to the field of cloud computing, in particular to a method for automatic expansion of application examples of a cloud platform based on load self-adaption. The method for automatic expansion of the application examples of the cloud platform based on load self-adaption mainly comprises the steps that real-time load data are acquired from all the application examples in operation through an example load monitoring assembly; the received example load data are gathered and calculated through an application load analysis assembly so that the operating load of the application can be determined, comprehensive decision-making analysis is conducted according to the number of user access requests of the application, and then whether control over the expansion of the examples needs to be conducted or nor is determined; the number of the examples of the application is reduced or increased by calling a cloud platform API through an example control assembly. The method for automatic expansion of the application examples of the cloud platform based on load self-adaption has the advantages that the problem that according to an original Cloud Foundry source opening cloud platform, the expansion of the application examples are achieved manually is solved, and the problem that when the expansion of the application examples is conducted only according to the number of the user access requests, an expansion result can not be matched with the actual condition is also solved. The method is particularly suitable for the Cloud Foundry source opening cloud platform.

The invention discloses an intelligent control method for earth pressure balance shield machine tunnel piercing parameters. The intelligent control method is characterized by comprising the following steps of (S1) collecting data and extracting factor nodes affecting shield machine piercing performance, (S2) constructing a topology structure for the factor nodes affecting the shield machine piercing performance to acquire a fuzzy association matrix Wij of each node, (S3) constructing a fuzzy control network map of the earth pressure balance shield mechanism piercing, and dynamically evolving and calculating a state value of each factor node at a t+1 time of period via an iteration rational formula, and (S4) conducting multi-phase decision analysis according to the fuzzy control network map to real-time analyze and control deviation rectification of the earth pressure balance shield machine tunnel piercing parameters. Expert prior knowledge, fuzzy logic and graph theory technologies are employed and ratiocination and real-time analysis and decision make are provided for multi-phase shield machine parameters before, amid and after subway shield machine engineering construction under complicate environment.

The invention discloses a method for predicting attributes of users of a film rating / review site on the basis of a deep neural network and belongs to the fields of data excavation, machine learning and the like. The method comprises the following steps: performing matrix decomposition on sparse user rating data in the film rating / review site to form a user-feature matrix and a film-feature matrix,performing partial filling on user vectors by utilizing the two matrixes, and taking the filled user rating data as user feature vectors; inputting the user feature vector data into a fully connecteddeep neural network, combining a multi-task learning technology, training a network model, and obtaining tags and scores of all the tasks; and according to the tags and the scores of all the tasks, performing decision-making analysis, and obtaining a final classification result. The method disclosed by the invention automatically predicts the attributes of the users of the film rating / review siteby virtue of a deep neural network technology, solves the problem of data sparsity and has relatively high classification accuracy and efficiency.

The invention provides a method for rapidly diagnosing unmanned helicopter sensor faults. The method is characterized in that an estimated value of a full-dimensional robust observer is compared with actual values measured by sensors to generate residual errors, decision-making analysis is carried out on the residual errors with a sequential likelihood ratio criterion, and the system faults are accordingly detected; meanwhile, a series of parallel dimensionality reduction robust observers are built for the sensors participating in signal feedback to achieve decoupling on output signals, then the output signals of the sensors are compared with estimated values of the dimensionality reduction robust observers, and the sensor with the maximum residual error deviation is a fault sensor. The types of the faults are rapidly determined by fault types of multi-sensor D-S data fusing algorithms.

The invention discloses an automatic nosql cluster configuration system and method based on cloud computing. The automatic configuration system comprises a decision analysis module, a cloud communication module, an nosql management module, a cluster monitoring module and a cloud platform, wherein the cluster monitoring module acquires motion state parameters of an nosql cluster in real time, sends the parameters to the decision analysis module for decision analysis and sends a command for adjusting the nosql cluster to the nosql management module according to the analysis result, and the nosql management module configures the adjusted nosql cluster. With the adoption of the system and the method, high concurrency, extendibility and dynamic scalability required by storage and management of cloud computing big data in the prior art are realized, load condition changes can be responded dynamically, burdens of management staff can be reduced, and the utilization rate of system resources can be increased.

The invention discloses an emergency reasoning model of urban emergencies based on an event chain, Event containers and environmental information funnel filtration are established. Combined with stochastic forest algorithm, the operation mechanism, emergency chain evolution and emergency decision-making, efficiency-driven emergency decision-making and resource-driven emergency decision-making arededuced. In the above manner, the present invention can solve the changing situation of various emergencies in cities such as natural disasters, accident disasters, public health events, social security events and the like, establish an emergency reasoning model, and provide a decision analysis basis and a reference for the subsequent decision analysis of urban emergencies.

Disclosed are a method and apparatus for fact collection and analysis whereby relevant facts can be used in multiple implementations to accomplish due diligence or decision making processes, and used for automated adaptive quantification, assessment, analysis, rating and scoring of due diligence or decision options for a business, entity or organization in a proactive and reactive manner. Due diligence or decision topics such as, but not limited to, mergers, acquisitions, debt or equity financings, strategic planning, risk assessments, audits of the processes of the organization including human resources, regulated activities, intellectual property, contracting and other business practices may benefit from the use and application of the system.

The invention discloses an educational equipment management platform, comprising the following functional modules: a visual pre-warning monitoring module, a Class-Access-to-ICTs equipment monitoring module, an external terminal monitoring module, a report management module, an equipment ledger management module, an equipment purchasing management module, a laboratory management module, an equipment maintenance management module, a campus safety monitoring module, a network equipment monitoring module, a report generating module, a mobile management module (cellphone App), a monitoring auditing module, a system setting module and a log management module. The educational equipment management platform of the invention, which is a simple and powerful service platform and is easy to use, is provided for users to realize dynamic equipment monitoring, assessment and evaluation and decision-making analysis and to enable the administrative department to know the use state and the use efficiency of school education equipment, thereby improving the education management efficiency, optimizing the education management and service process, making the equipment fully used and taking full advantage of the education equipment.

The invention relates to an unmanned aerial vehicle cluster combat game decision method based on a quantum krill population evolution mechanism, which comprises the following steps: establishing an unmanned aerial vehicle cooperative combat game decision model; initializing the quantum krill group; calculating the fitness value of each quantum krill position in the quantum krill group according toa fitness function; updating a quantum rotation angle and a quantum position of each quantum krill; carrying out fitness calculation on the updated position of each quantum krill in the quantum krillgroup, obtaining the updated position of each quantum krill through a mapping rule, and calculating the fitness of the position; determining the global optimal quantum position of the quantum krill population; circularly judging; outputting the global optimal position of the quantum krill group and mapping the global optimal position into a mixed strategy combination of games. According to the method, the unmanned aerial vehicle cluster combat command decision is analyzed in combination with the game theory, so that both sides of the operation can obtain the maximum benefit through the rational decision analysis, the battlefield environment of the unmanned aerial vehicle cluster operation is better met, and the applicability is stronger.

A repair procedure development system is disclosed that may allow for an organized, automated decision making approach to repairs. Some embodiments use four categories and sub-categories of component, subcomponent, discrepancy, and repair, although other categories and numbers of categories may be used. The repair procedure development system may use a decision analysis tree to cycle through all possible permutations in the categories, and may therefore generate all possible discrepancies and repairs for particular hardware elements. In addition, the repair procedure development system may use a repair matrix to define the steps and sequences that are needed to perform any repair defined in the decision tree, with the option to select specific steps from multivariable steps. The repair procedure development system may capture knowledge data from one or more technical groups and may help merge specification requirements with repair procedures. The repair procedure development system may be transferable to other engineering groups. The repair procedure development system may allow an engineer to spend more time on the floor working issues, to interact more among technical disciplines, and to play a more proactive role in processing, while increasing technical accuracy and safety by reducing errors and communication disconnects.

An adaptive online experimentation method and system is disclosed for more effectively and efficiently determining and conducting information gathering and evaluations associated with computer-based applications. The adaptive online experimentation process integrates decision analysis, value of information analysis, design of experiment models, and the inferencing of gathered information, including experimental results. The experimental results may include behaviors of users of a computer-based system. The process enables an automatic, adaptive, closed-loop process for attaining additional information and assimilating the attained information into the decision model.

The invention relates to the field of e-commence and discloses a price data statistics decision-making analysis method for an e-commence platform. The method comprises the following steps of (1) performing data collection on similar commodities; (2) storing data in a database and performing classification; (3) making a chart after data statistics is finished; (4) performing analysis according to the chart made in the step (3); and (5) making a decision-making scheme by taking sales price as a variable according to an analytic result in the step (4). According to the method, the data of the similar commodities is subjected to collection and statistics, similar commodity data and chart of the commodities are established, and the decision-making scheme is made by analyzing the data, so that merchants have good price indexes for reference before inputting the commodities in the e-commerce platform.

The invention belongs to the technical field of storage information management equipment, and particularly relates to a grain storage intelligent electronic information management device. The grain storage intelligent electronic information management device is characterized in that the main structure comprises a grain warehouse input and output unit, a first warehouse input module, a first warehouse output module, a drug management unit, a second warehouse input module, a second warehouse output module, an access control management unit, an intelligent electric meter unit, a financial unit and a security unit, thereby assisting a grain depot to make full use of network equipment and an information unit, and integrating grain and drug warehouse input and output, storage, monitoring, management and transmission information. Storage data information does not need to be manually checked among departments of the grain depot, thereby reducing the labor intensity of storage workers, reducing the material loss, improving the work efficiency, reducing the management and storage cost of the grain depot, providing a lot of visual decision-making analysis data for a grain depot management layer, and improving the control power of the management layer for the grain depot. The grain storage intelligent electronic information management device is simple in design structure, scientific and reliable in principle, easy to operate and control, good in management effect, high in energy-saving performance, friendly in operating environment and wide in application prospect.

The invention discloses an online evaluation method and system for provincial power grid adequacy, and relates to the analysis of power grid adequacy. At present, provincial dispatching operation personnel lack the power supply readability of loads in a provincial power grid subregion and the monitoring and the analysis of a transfer capability. The method comprises the following steps that: obtaining the real-time operation model data of a power grid; carrying out fracture surface load flow regulation and dynamic partitioning; carrying out system adequacy analysis and evaluation; carrying outsubregion adequacy analysis and evaluation; and making an adequacy insufficiency auxiliary decision: when system adequacy and / or subregion adequacy is insufficient, carrying out the auxiliary decision analysis, and outputting a corresponding auxiliary decision measure and adequacy monitoring data. By use of the technical scheme, the system adequacy and the subregion adequacy are subjected to online analysis, a power grid adequacy state is monitored and given an alarm, the auxiliary decision when the adequacy is insufficient is provided, the ability of the dispatching operation personnel forperceiving, coping with and actively mastering the power grid adequacy is improved, a provincial power grid adequacy level is further improved, and the power grid is guaranteed to safely and stably operate.

The invention relates to a road congestion detection method based on video image processing, belonging to the technical field of road traffic safety. The invention uses the existing road monitoring system to obtain original data, and performs the steps of preprocessing, feature analysis and the like to extract the characteristic attributes of the original data; then a correlation between vehiclesand lanes are obtained by means of a filtering algorithm through road structuring information and vehicle structuring information; then an area congestion index, a lane congestion index and a vehicledistance congestion index are calculated; and finally, decision-making analysis is carried out according to a threshold system, and the decision-making results are pushed to an information release platform and a central control decision-making platform. According to the invention, the congestion condition of the road is accurately analyzed in complex scenarios by using the method based on video image processing; and the real-time supervision of road information helps the traffic control department to take appropriate control measures before the congestion situation occurs, which avoids the occurrence of traffic accidents and brings great convenience to travel of people.

The invention discloses an intelligent mobile application service system based on electric power and application. The intelligent mobile application service system comprises a power service module, anenterprise resource module, a decision analysis module and an industrial finance module, and is characterized in that the power service module comprises marketing, production maintenance, planning, engineering construction, power transaction and safety supervision; the service domain of the enterprise resource module comprises comprehensive management, human resource management, financial management and material management; the decision analysis module comprises intelligent analysis and decision; and the business domain of the industrial financial module comprises industrial business. The intelligent mobile application service system and the application can perform optimization and improvement for the defects of application installation and application authentication login in the currentpower mobile application process, can provide unified information acquisition and authentication, can achieve automatic identification of network and intelligent access of application, can achieve integration of power mobile office, can ensure stable, orderly and efficient development of industrial business of power companies, and can improve mobile office efficiency.