9 results about "Multi criteria decision" patented technology

The sewage plant multi-energy utilization robust decision method, device, computer equipment and medium belong to the field of urban sewage plant comprehensive energy utilization and multi-energy complementary optimization. Among them, the method comprises the following steps: constructing a practical application-oriented sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision analysis framework for the robust decision of sewage plant comprehensive energy utilization and multi-energy complementary optimization under uncertain conditions; using game theory to aggregate and resolve the weight of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization, and estimating the uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization; constructing a sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision acceptability analysis-gray correlation analysis model to quantitatively evaluate the uncertainty and decision-making risk of sewage plant comprehensive energy utilization and multi-energy complementary optimization multi-criteria decision; using significance analysis method to determine the influence of input parameter uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization on the decision scheme of sewage plant comprehensive energy utilization and multi-energy complementary optimization.

The present application relates to the technical field of precast beam design optimization, and particularly relates to a precast beam design optimization method and system based on a hybrid element heuristic algorithm. The method comprises the following steps: processing original design parameter data through knowledge embedding to obtain geometric material comprehensive features; obtaining constraint compliance features by encoding and standardizing constraints, and obtaining construction schedule influence features by analyzing construction schedule data; based on a multi-criteria decision empowerment strategy, using the geometric material comprehensive features, the constraint compliance features and the construction schedule influence features, comprehensive priority features are obtained; using weighted knowledge fusion, manufacturability features and case analogy features are obtained to obtain manufacturing case heuristic features; combining performance approximation model features, the comprehensive priority features and the manufacturing case heuristic features, precast beam multi-objective design optimization is completed according to a hybrid element heuristic framework. The present application realizes the global optimization of the precast beam design scheme through phased feature extraction and multi-dimensional feature fusion.

This invention discloses a multi-objective optimization-based method for preoperative tibial prosthesis localization in ankle replacement surgery, primarily addressing the problems of poor accuracy and low reliability in existing ankle prosthesis localization methods. The method includes: 1) acquiring and processing medical CT images and prosthesis model data of the affected lower limb, completing prosthesis standard position calibration and establishing a local coordinate system; 2) segmenting bone tissue, extracting three-dimensional models of the tibia, fibula, and talus, and including HU bone mineral density values; 3) standardizing the skeletal model, labeling anatomical landmarks, and constructing an orthogonal standard coordinate system; 4) pre-calculating relevant data of the distal tibial articular surface; 5) generating initial candidate solutions through grid search and constraint filtering; 6) obtaining the Pareto front by combining the NSGA-II-CDP algorithm and constraint dominance principles; 7) recommending the optimal solution and generating a visual model through multi-stage compromise solution filtering and multi-criteria decision-making. This invention can unify anatomical orientation, improve computational efficiency, and achieve accurate and efficient localization.

The application discloses a wind-solar coupling hydrogen production project site selection method based on multi-criteria decision in a fuzzy environment, and is specifically implemented according to the following steps: step 1, obtaining influence factors in a wind-solar coupling hydrogen production project site selection process, and constructing a wind-solar coupling hydrogen production project site selection evaluation index system; step 2, constructing an evaluation model of site selection decision; step 3, calculating comprehensive weights of evaluation indexes; and step 4, adopting a multi-attribute boundary approximate region comparison method to sort the alternative sites, and obtaining an optimal decision. The application solves the problem of poor accuracy of the existing site selection method.

This invention belongs to the field of coal mine power safety and intelligent risk management technology, and discloses a comprehensive risk rating method for geological disaster hazards in coal mine power supply lines based on fuzzy logic and multi-criteria decision-making. The method first collects multi-dimensional indicator data and completes hierarchical downgrading processing to construct a four-dimensional, three-layer geological disaster risk indicator system; an initial risk score is obtained through hierarchical fuzzy reasoning, and a geological disaster recoverability time correction function is introduced to correct the risk score; the score is calibrated through the fusion of subjective and objective weights and a conflict self-checking mechanism, and the entire process of risk rating update is triggered based on a preset dynamic threshold. This invention solves the problems of premature resolution of fuzzy information, lack of information conflict self-checking, and failure to consider recovery time in existing technologies. It retains the advantages of fuzzy reasoning uncertainty, avoids rule combination explosion, can proactively identify weight conflicts and circuit breakers for error correction, improves the robustness of risk assessment, and accurately matches the needs of coal mine power supply line repair resource allocation and safety management.

A verifiable policy simulation method includes: providing a verification model; collecting related data; simulating with the related data to build an evaluation index; providing a plurality of preliminary expert questionnaires with the evaluation index to obtain a preliminary expert result; building an ANP hierarchical structure according to the preliminary expert result; providing a plurality of ANP expert questionnaires to obtain an ANP expert result; calculating a weight of the ANP expert result to obtain a weighted value of model; calculating the ANP expert result to confirm an index of system dynamics model; producing a causal loop diagram according to the ANP expert result and the index of system dynamics model; inputting the index of system dynamics model and the causal loop diagram to the verification model to obtain a model verification data; comparing the ANP expert result with the model verification data to obtain a verification result of simulated comparison.

This application discloses a method and related equipment for predicting the functional failure probability of shield tunnels based on multiple variables. The method includes: constructing an integrated damage-function index system covering multiple scales and quantifying the mapping relationship between damage and function; optimizing the probabilistic seismic demand model using interval estimation methods and selecting the best vibration intensity index by combining fuzzy multi-criteria decision-making; introducing the Copula function to accurately characterize the nonlinear correlation between multidimensional damage / function parameters; and finally establishing a multivariate vulnerability analysis model that can output the failure probability of each function of the tunnel and the overall failure probability of the system. This provides reliable technical support for the seismic design, post-earthquake assessment, and operation and maintenance decisions of shield tunnels. It can accurately assess the seismic risk of shield tunnels under non-uniform liquefaction development, improve the reliability and robustness of the results, and can be widely applied in the field of computer technology.

This invention provides a comparative analysis system and method for domestic and imported welding materials, characterized by scientific accuracy and strong adaptability. By establishing a complete performance evaluation index system and combining a multi-criteria decision-making algorithm and an adaptive learning mechanism, it can provide accurate material comparison analysis results for different welding requirements. The system uses the entropy weight method to objectively determine index weights and combines it with the TOPSIS algorithm for comprehensive scoring, effectively avoiding interference from subjective factors. The introduced adaptive learning function can continuously optimize the weight allocation strategy based on user feedback, enabling the system to continuously improve. Multi-dimensional visualization output makes the comparison results more intuitive and clear. Compared with traditional methods, this invention not only improves the scientificity and accuracy of material selection but also significantly enhances work efficiency, making it particularly suitable for manufacturing fields with high welding quality requirements.