96 results about "Analytical hierarchy" patented technology

The invention discloses a bidirectional selection computing unloading method based on MEC and MCC. The method comprises steps of: sending to a network side a request to unload an operation program when it is detected that the computing amount of the operation program exceeds a threshold; receiving a unloading sequence allocated by the network side according to the request; computing local energy consumption and unloading energy consumption based on the received unloading sequence, and further computing each unloading energy consumption benefit and sending the same to the network side; and computing a local operation delay and further computing a difference between each unloading delay and local computing delay and sending the same to the network side; receiving a unloding decision matrix obtained by the network side based on the energy consumption benefit and the delay benefit, and returning a decision message; and performing unloading according to the unloading decision message. Therefore, the bidirectional selection computing unloading method based on MEC and MCC can realize the multi-criterion, multi-objective and bidirectional selection computing amount unloading of terminal linear weighting and network side analytical hierarchy process.

The predictive asset ranking system and process quantifies the condition of major components and sub-components of a property based on a systematic comparison of one major component against another utilizing analytical hierarchy analysis. The predictive asset ranking may be expressed as a value or score that may be used as a benchmark to compare one property to another property. The predictive asset ranking process applies multiple analytical hierarchies to the various attributes of a property. The analytical hierarchy may be based on an attribute weighing process and may include a series of qualitative questions indicative of attributes of the property. The predictive asset ranking system may be dynamic and may be customized for the particular asset being evaluated. When the system is customized, the process may automatically recalculate the weights and redistribute the points used in the predictive asset ranking analysis.

The utility model discloses a present city power network comprehensive evaluation system based on analytical hierarchy process and Delphi method. The system classifies and layers the characters of the city power network and then forms an integrated system including a plurality of layers according to the relationships and the differences between the characters of the city power network. The endmost character of the system is first evaluated, and then calculation is performed one layer after another according to definite calculation methods, finally a comprehensive and integrated evaluation of the city power network is obtained. The higher the comprehensive score, the better the whole situation of the city power network; namely, the construction technology rationality, the operation safety, the power supply quality and the operation economy of the power network all reach to a high level.

The present invention allows a user (e.g., a policy implementer) to be identified and delegated responsibility for implementing a policy. This can occur, implicitly, semi-implicitly or explicitly. In a typical embodiment, a policy provided (e.g., by a policy owner) is automatically parsed to determine a minimum set of access rights needed to implement the policy. For example, the policy might indicate that an implementing user only needs simple read privileges. Alternatively, the policy might require read / write privileges. In any event, a list (e.g., an access control list) will be analyzed to identify a set (e.g., one or more) of users of a computerized resource subject to the policy that meets the minimum set of access rights. Once this set of users has been identified, a hierarchy can be optionally analyzed to determine who among the set of users is permitted to implement the policy.

A system, method and computer program product is disclosed for evaluating system architectures from a long term sustainability perspective, sustainability in the presence of rapidly evolving information and networking technology, rapidly evolving customer requirements and expectations, and rapidly evolving standards and protocols. The multi-attribute architecture evaluation method can include specific architectural characteristics. At the top level the present invention can include four architectural characteristics or attributes: modularity, commonality, standards-based, and reliability / maintainability / testability (RMT). The attributes can be further classified into sub-attributes and metrics to facilitate the comparative evaluation of candidate system architectures. In an exemplary embodiment of the present invention a decision support system, method and CPP for evaluating supportability of alternative system architecture designs is disclosed including: an analytic hierarchy process (AHP) model including a plurality of attributes, wherein the plurality of attributes includes: a commonality attribute; a modularity sub-attribute; a standards based sub-attribute; and a RMT sub-attribute. The present invention in an exemplary implementation can be embedded within a commercially available AHP shell, to facilitate adaptation to specific domains.

A method, system, and device targets contents according to the preferences of a particular user. A content is associated with one or more content category alternatives, and is different from other contents. Pairwise comparisons for a particular user for a set of content category alternatives are input into a computer, wherein a pairwise comparison includes a judgment between preferences as a relative importance between two content category alternatives. A weighted prioritization of the content category alternatives of the pairwise comparisons for the particular user is prepared in the computer, according to an analytic hierarchy process. The weighted prioritization of the content category alternatives for the particular user is applied, in the computer, to the contents. A weight is associated with the content according to the weighted prioritizations of the content category alternative corresponding to the content categorization of the contents. The contents are provided according to the weight.

The invention discloses a bondbeam cable-stayed bridge sensor layout method based on two-phase multi-scale model correction. By establishing a fine finite element model of a full bridge structure, the part easy to damage of the whole structure is determined, then the multi-scale finite element model with the part easy to damage being small-scale and other parts being large-scale is established, then the power characteristic of a real bridge is obtained through an environmental vibration test; the bondbeam cable-stayed bridge multi-scale finite element model is corrected by adopting a two-phase correspondence face method, a finite element model further approaching the structure of the real bridge is obtained, then the part easy to damage of the whole structure as well as monitoring content and monitoring position on structure overall correspondence analysis level are determined, and finally the layout sorts and layout positions of the sensors on the bondbeam cable-stayed bridge are determined. The bondbeam cable-stayed bridge sensor layout method ensures that a bondbeam cable-stayed bridge health monitoring sensor system is more reasonable, reliable and effective, and further faciliates the accuracy of the safety early warning and safety prevention of bridge health monitoring.

A method for determining relationships between hierarchically structured schema components and their effects on and content of tuples, includes: analyzing the hierarchically structured schema with user-supplied mappings and finding elements or attributes mapped to a same relational table; determining relationships between the elements or attributes to be either a one-to-one relationship or a one-to-many relationship based on an information set in the hierarchically structured schema; recording the relationships; and processing a hierarchically structured document against the recorded relationships and generating tuples accordingly. The constructs of a hierarchically structured schema that may affect the cardinality between the attributes of a relation, and thus the contents of the tuples, are considered. A relationship between the hierarchically structured schema model and a relational model is established.

The invention provides a fuzzy evaluation method used for evaluating a network security situation value of a hierarchical model, and the method comprises the steps that: an evaluation factor set and a judgment set used for evaluating network security situation indexes of a top-level node of the hierarchical model are determined; a membership function is established, and the probability that attribute data of each child node in the evaluation factor set belong to different judgment ranks in the judgment set is determined according to the membership function; a fuzzy evaluation matrix is established on the basis of the determined probability that each child node belongs to different judgment ranks; the importance weight of each child node over the top-level node of the hierarchical model isdetermined; and the network security situation indexes of the top-level node is calculated according to the established fuzzy evaluation matrix and the determined importance weight of each child nodeover the top-level node of the hierarchical model, and thereby the network security situation value of the hierarchical model is finally calculated. The fuzzy evaluation method has the advantages that the security situation of a network is evaluated through introducing fuzzy mathematics and a fuzzy analytical hierarchy process (FAHP) into the fuzzy evaluation method, and thereby the problem of data uncertainty during the evaluation of the network security situation is well solved.

The invention discloses a surface water quality evaluation method based on combined weight, which includes the following steps, firstly selecting water quality indexes to build a water quality evaluation system, then adopting the subjective weighting method, the analytical hierarchy process, the objective weighting method and the super-standard weighted method to obtain three groups of weight vectors of the water quality indexes, and adopting the weight synthesis method based on the ideal point method for weight synthesis, so as to confirm the combined weight of the water quality indexes; taking the water quality indexes as evidences, calculating the basic trust distribution of the evidences to various water quality types, and then performing evidence synthesis based on the evidence additive synthesis rule of the combined weight; and selecting the water quality type with the highest trust degree as the water quality evaluation type as per the evidence synthesis result, and analyzing the variation trend of water quality as per the variation of trust degree of various water quality types. The surface water quality evaluation method provided by the invention integrates the influence of various water quality indexes to determine the water quality type, is objective and reasonable in evaluation results, and can be used for analyzing variation trend of water quality at the same time.

The invention relates to a land evaluation method and an expert system integrating ontologe knowledge reasoning and an analytical hierarchy process. At first, modeling is carried out on a land suitability evaluation task ontologe, and the land suitability evaluation task ontologe is read and stored in an ontology base; an expert user interface is provided, selecting and scoring of an evaluation factor are completed, evaluation factor weight evaluation is achieved by means of the analytical hierarchy process, regular formalization construction based on the ontologe is further achieved, and meanwhile storage processing is completed; on the basis, an evaluation area is selected on an evaluation application interface through a space data query interface provided by a data operation module, and evaluation unit data are read; ontologe instantiation processing is carried out on the evaluation unit data; meanwhile through an evaluation target selected by a user, evaluation rules related to the evaluation target are obtained by inquiring a rule base; an inference engine carries out binding reasoning on an ontologe knowledge model and the evaluation rules, and therefore a reasoning model is obtained; the evaluation result of a corresponding evaluation unit can be obtained through ontologe instantiation query operation on the evaluation target in the reasoning model.

A method for evaluating the power distribution network electrical equipment state based on historical data trend prediction comprises the following steps: at first, performing the longitudinal historical data evaluation on electric equipment state quantity data, and correcting bad data or wrong data through smoothing; then, dividing the data into two types to be processed according to the state quantity data dispersion degree; for the data with smaller dispersion degree, considering the mathematical expectation of historical data as current data quantity data; for the data with larger dispersion degree, adopting a grey prediction method to obtain the predicted value of the state quantity data of the current time node, and finally adopting a fuzzy analytical hierarchy process to evaluate the power distribution network electrical equipment state. The state quantity data of the current time node is predicted according to the development tendency of the state quantity historical data, data is guaranteed to reflect the state of the current equipment effectively, and the credibility of the data quantity data is improved, so that the accuracy of the state evaluation result of the power distribution equipment is ensured finally.

The invention discloses a method of resolving traffic conflicts of two vehicles at a no-signal intersection, mainly solving the problem of collision of two vehicles at an intersection. The method comprises: first, collecting the information of two vehicles, and predetermining whether two vehicles conflict at an intersection according to the time of the two vehicles arriving at the intersection; second, building an analytical hierarchy structure to determine the priority of the conflict vehicles; employing a PID controller to control the time of two vehicles arriving at a conflict area so as to resolve conflicts, and optimizing parameters of the PID controller; and finally building a gaming model to optimize a conflict resolving strategy and to allow the two vehicles to pass through the intersection within shortest time. The method employs the PID controller to control the time of two vehicles arriving at a conflict area so as to resolve conflicts, and optimizes parameters of the PID controller, thereby increasing the efficiency of solving conflicts between two vehicles, and reducing traffic conflicts at an intersection.

The invention discloses an evaluation method applied to the field of risk analysis of a railway signal system. The method comprises the steps of firstly, formulating the levels of risk of the railway system, expressing a cloud model for evaluating the levels of risk by a forward cloud generator of a MATLAB simulation software, and generating a standard risk grade evaluation set cloud model figure; marking the failure mode of a function by an expert according to the formulated levels of risk to obtain a risk factor set, and converting the risk factor set into a comprehensive evaluation matrix R; utilizing an analytic hierarchy process to obtain risk factor set weight coefficients corresponding to all parameters in the risk factor set by the expert, and calculating a comprehensive evaluation result cloud model figure by fuzzy synthetic operator; comparing the comprehensive evaluation result cloud model figure with the standard risk grade evaluation set cloud model figure to obtain the level of risk of the comprehensive evaluation result. After the method is adopted, the risk evaluation result is more objective and accurate.

A system and method directed to improving efforts to plan for investor life goals. The method combines unique approaches of assessing investor risk tolerance using utility theory and investor preferences using conjoint analysis, Analytic Hierarchy Process (“AHP”), or the like in combination with existing industry financial projection methods using linear projections, Monte Carlo simulation, or the like. Further, the method improves upon existing financial projection approaches with the addition of regression techniques to streamline adjustments to the plan objectives, resources, and constraints. The method includes a means of determining an optimal combination of attribute preferences that have an acceptable probability of achieving plan goals while maximizing investor satisfaction as measured by total utility.

The invention discloses a multi-parameter mental stress assessment method based on an analytical hierarchy method and a device. The method obtains a parameter set of mental stress influential factors through analysis of a frequency domain, a time domain and non-linearity of HRV signals of a testee, and obtains mental stress assessment results of the testee by the analytical hierarchy method and a mental stress assessment model. The device collects electrocardiograph signals of the testee, analyzes and assesses the electrocardiograph signals by the multi-parameter mental stress assessment method based on the analytical hierarchy method, outputs an assessment report and transmits the assessment report outwards. The multi-parameter mental stress assessment method based on the analytical hierarchy method and the invention have the beneficial effect that (1) a mental stress state of the testee is monitored according to changes of HRV physiological parameters of the testee, so influences brought by subjective factors and different cognitive levels of the testees to monitoring results are effectively avoided; and (2) the daily mental stress state of the testee is effectively recorded and analyzed, and key data is stored to remind the testee of self-adjustment and taken for standby application of medical staffs.

A method for order prioritization includes calculating a cycle time for a product order of a plurality of product orders using an artificial neural network, determining a first order priority of the product order based on a priority index using an analytic hierarchy process, determining a second order priority of the product order based on event based simulation model, and determining a shipping date for the product order based on the second order priority. The artificial neural network calculates the cycle time based upon product order type and a plurality of component counts. The analytic hierarchy process determines a first order priority based upon a plurality of product order attributes. The simulation model determines a second order priority and completion time based upon the first order priority, product model, product type, a plurality of component counts, manufacturing capacity and inventory data, and production time data for historical product orders.

A method of optimizing parameter values in a process for producing a product, which process is essentially controlled by a set of parameters affecting a set of properties characterizing the product. The method uses an analytic hierarchy process (AHP) to associate a weight with each property according to its relative importance to obtain desired product characteristics. The method also uses parameter data and measured property data from a required number of experimental runs of the process, from which data property behavior relations between each property and the parameters are statistically established, which relations give estimated property values. Using the property weights, a process goal function is established, which is expressed in terms of weighted deviations between the estimated property values and the corresponding goal values for the properties. Finally, the process goal function is minimized in order to generate a set of optimal parameter values for the process.

The invention relates to a method for building an ecology risk assessment model for an estuary; the method comprises the following steps of: building an ecology risk assessment index system covering biological diversity indexes, comprehensive pollution indexes and pressure indexes of social and economic development in an estuary region; determining the standard values of risk upper limits and risk lower limits of the indexes in the index system according to the existing standard values, and carrying out standardization processing on data of stations; determining the weights of the indexes by using an analytical hierarchy process, and obtaining ecology risk values by weighting and adding; carrying out section division on the estuary region; and obtaining the risk value of each section after division, disclosing a space-time distribution pattern of the ecology risk in the estuary region and discriminating main factors resulting in the risks of the estuary region. The method provided by the invention has the advantages of being simple and objective, disclosing the space-time distribution pattern of the ecology risk in the estuary region, accurately accessing and discriminating the current situation of the ecology risk in the estuary region and main risk factors and providing a reliable theory and technical support for establishing a watershed ecology risk early warning mechanism and ecology risk management.

The invention discloses an urban oil and gas pipeline major accident risk early warning and assessment method, and belongs to the technical field of pipeline risk early warning and assessment. The method comprises the steps that a factor set is determined according to risk factors in the pipeline operating process; weight matrixes of all levels of factor indexes are determined by the use of an interval analytical hierarchy process relative scalar quantity method; risk assessment is conducted on the indexes, so that a warning degree division result is obtained; and risk assessment results of various factors are obtained on the basis of risk quantity indexes, and relative risk values are calculated through the combination of leakage influence coefficients. According to the urban oil and gaspipeline major accident risk early warning and assessment method, a kent pipeline risk assessment method and a risk early warning method are combined, and therefore the purposes that the pipeline warning degree is judged, and an early warning response is conducted can be achieved on the basis of risk assessment of all risk factor warning omens and overall consideration of the pipeline accident occurrence probability and the consequence severity.

The invention discloses a mobility load balancing method based on an AHP (Analytical Hierarchy Process) in an LTE system. The method mainly comprises the steps of selection of an optimal load transfer cell and determination of optimal CIO (Cell Independent Offset) parameters. According to the method, four modules namely a cell state detection module (1), a user-cell matching pair generation module (2), a load distribution module (3) and a balancing module (4) are adopted, wherein the cell state detection module is mainly used for judging a cell load state and initiating load balancing if a cell is overloaded; the user-cell matching pair generation module is mainly used for selecting an optimal transfer cell of a user through an AHP algorithm; the load distribution module is mainly used for pre-distributing the load quantities of the overloaded part of the overloaded cell to each target cell before the CIO parameters are adjusted; the load of each target cell is smaller, the distributed load quantities are larger; the balancing module is mainly used for adjusting the CIO through a variable step; when each target cell completely receives the distributed load quantities, the optimal CIO of the cell is obtained.

The invention provides a universal evaluation method for a health index of power distribution equipment. A mathematic model is constructed in combination with a grey theory, a fuzzy analytical hierarchy process and an evidence theory. The method comprises: performing state grade division and obtaining key characteristic quantities representing the health index of the power distribution equipment, wherein the power distribution equipment comprises a transformer, a switchgear, an overhead line and a cable line; performing normalization processing on the key characteristic quantities of the power distribution equipment; obtaining weights of the key characteristic quantities of the power distribution equipment; generating a fuzzy comprehensive evaluation matrix of the power distribution equipment; performing evidence fusion on state grades of the key characteristic quantities; and obtaining the health index of the power distribution equipment. The method provides a practical and novel technical means for macroscopic and microcosmic combined equipment management.

The invention provides a real-time traffic evaluation method based on multisource information fusion under the scene of vehicle-road cooperation. Firstly multiple operator pairs are introduced to conventional fuzzy integration to form a secondary evaluation model, the weight vector of the traffic evaluation index is determined through the analytical hierarchy process, and variable membership rules suitable for all levels of road parameters are established; meanwhile, the dynamic vehicle data and the static road parameters in a vehicle-road cooperative system are fused so s to calculate the real-time evaluation result and score. According to the method, various traffic evaluation indexes can be accepted to act as the input quantity of the model through the fuzzy relationship, the subjective component of the evaluation method can be reduced by using the weight divided by the scientific method with the help of the variable membership rules suitable for all levels of roads, and the generated evaluation score can be applied to traffic state comparison of different roads of the same time period or different time periods of the same road so that the reliable basis can be provided for traffic signal control, vehicle scheduling management and the navigation information service.

A method and system for determining a plurality of coefficients of an objective function of a mathematical programming model. Attributes of the model are identified. A first set of coefficient values determining a first solution and initially representing the plurality of coefficients is determined by employing a specified ranking of the attributes. A prevailing solution is initialized to the first solution. Additional sets of coefficient values are generated, each set determining a corresponding additional solution of the model. The additional solutions are evaluated (e.g., by the Analytic Hierarchy Process) to provide a ranking of the solutions, where the ranking is dependent upon the attributes. The ranking of the additional solutions is used to select a second solution. The prevailing solution is set to the second solution if the second solution exceeds a sum of the prevailing solution and a specified tolerance.

The invention discloses a hierarchical tag-based cross-modal Hash model construction method, a search method and a device. The method comprises the following steps of receiving a multi-modal data set,and preprocessing; inputting the relative data of the preprocessed data of different modalities into a pre-trained multi-path neural network; according to the pre-trained neural network and the multi-layer perceptron, extracting the characteristic data of different modes respectively, and obtaining the hierarchical Hash representations of different modes; constructing the similarity matrixes of the preprocessed samples on different levels according to the level labels, and evaluating the semantic similarity among the samples according to the inner product of the Hash representation trained bythe median of each level of similarity matrix; adopting the hierarchical labels with different granularities, analyzing the influence of the hierarchical comparison on the neural network performance,and determining the optimal hierarchical ratio; obtaining a Hash code according to each layer of Hash representation; and training the dual-path neural network, optimizing and training the dual-pathneural network by using an SGD gradient descent method, and establishing a deep cross-modal hash model based on hierarchical tags for cross-modal search.

The invention belongs to the technical field of radar, and in particular relates to a real-time evaluation method for anti-interference performance of radar. The method comprises the following steps: firstly analyzing technical and tactical indicator change of the radar in an interference environment; selecting an initial indicator to establish an initial indicator system; then reducing the initial indicator system through a rough set attribute reduction method; establishing a basic indicator used during final evaluation of the performance; establishing a fuzzy analytical hierarchy process-based anti-interference performance evaluation model of the radar; obtaining a group decision matrix through a Delphi algorithm; then ordering the decision matrix by using a chi-square least square method; constructing a final comprehensive weight vector to finally obtain the anti-interference performance result of the radar. Through the method, the anti-interference performance of the radar is more accurately evaluated, the interference mode in the real-time environment can be recognized by using an interference type recognition algorithm, and the corresponding evaluation model is automatically selected to calculate the anti-interference performance of the radar, so that the performance loss of the radar in the real-time interference environment can be obtained.

A system and method directed to improving efforts to plan for investor life goals. The method combines unique approaches of assessing investor risk tolerance using utility theory and investor preferences using conjoint analysis, Analytic Hierarchy Process (“AHP”), or the like in combination with existing industry financial projection methods using linear projections, Monte Carlo simulation, or the like. Further, the method improves upon existing financial projection approaches with the addition of regression techniques to streamline adjustments to the plan objectives, resources, and constraints. The method includes a means of determining an optimal combination of attribute preferences that have an acceptable probability of achieving plan goals while maximizing investor satisfaction as measured by total utility.

The invention provides a battery performance evaluation method based on an analytical hierarchy process. The method comprises the following steps: constructing a hierarchical structure model; constructing a judgment matrix; checking consistency of the judgment matrix, wherein random consistency ratio of a consistency index is hierarchically and singly ranked, i.e., calculating a maximum characteristic and its characteristic vector for the judgment matrix; hierarchically and globally ranking, i.e., calculating a relative importance or a relative superiority-inferiority of the lowest layer of factors with respect to the highest layer (the global object); making decisions, ranking candidate schemes by calculating weighed rank value of the relative superiority-inferiority of each scheme of the lowest layer with respect to the highest global object. By constructing a hierarchical model and then combining the mathematic process with human experience as well as subjective judgments, the technical scheme of the battery performance evaluation method can effectively analyzes non-sequential relationships among hierarchies of the object criterion system, effectively and comprehensively estimate and compare the judgments of the decision maker.

The invention belongs to the field of area data processing in a power system and particularly relates to an area closed-loop data analysis method on the basis of an analytical hierarchy process and wavelet regression. Mainly, by the analytical hierarchy process and wavelet regression closed-loop data processing method, equipment ledger data, operation data, equipment detection overhaul data and marketing data of an area are comprehensively analyzed, an operating state of equipment of the area is evaluated, an electrical load is estimated and forecast, power consumption of a user is modeled, an electricity stealing behavior is judged, line loss is comprehensively and automatically estimated, an area contractor is subjected to automatic responsibility quantization and division and automatic evaluation on a work completion degree, and the like. The area closed-loop data analysis method has the advantages that accurate data support is provided for anti-electric-larceny judgment, formulation of marketing indexes, development of performance appraisal and the like; a method capable of accurately carrying out evaluation index setting and completion result examination is provided for area management of a power supply enterprise; management quality and efficiency of the area are greatly improved.

The invention discloses a COVID-19 real-time risk prediction method, which comprises the following steps of: acquiring epidemic risk evaluation data and social vulnerability evaluation data; establishing an infection number attenuation equation and an epidemic situation propagation dynamics model; predicting epidemic risk evaluation data according to an infection number attenuation equation and anepidemic propagation dynamics model; establishing an entropy-analytic hierarchy process combined model; carrying out epidemic risk prediction according to the entropy-analytical hierarchy combined model, the epidemic risk evaluation data and the social vulnerability evaluation data; and drawing an epidemic risk prediction grade map. The method provides support for later epidemic prevention and control decisions, and can be used for emergency prediction of risks in new epidemic situation occurrence periods or other sudden public safety events in the future.