12 results about "Intuitionistic fuzzy" patented technology

This invention provides a parameter-driven, intuitionistic fuzzy logic method for evaluating the suitability of mega-span cavern sites, relating to the field of geotechnical engineering evaluation. This invention, for the first time, constructs a dedicated tunneling design index system for mega-span caverns integrating "rock mass quality, environmental response, shape effect, and support status." It separates evaluation criteria indicators from engineering response indicators, establishing a mapping relationship between the two through numerical simulation, making the evaluation process more consistent with engineering cognitive principles. Intuitionistic fuzzy numbers are used to quantify the merits of evaluation index values, achieving an organic fusion of objective data and fuzzy expression. The final output is a single, quantifiable site suitability index, enabling intuitive comparison of multiple sites and multiple indicators, greatly facilitating engineering decision-making. By replacing expert scoring with a pre-set mapping function, subjective interference is completely eliminated, ensuring that the evaluation results are entirely determined by the input parameters. Different personnel can obtain consistent conclusions, greatly improving the repeatability and engineering applicability of the method.

This invention discloses a method, storage medium, and device for aquaculture water quality assessment based on intuitionistic fuzzy set distance measures. The method includes: constructing an expert comment set based on water quality datasets collected under aquaculture conditions, and converting the expert comment set into an intuitionistic fuzzy matrix for aquaculture water quality assessment; constructing a Gaussian kernel-based dynamic hesitancy assignment model based on the intuitionistic fuzzy matrix to determine the hesitancy assignment of intuitionistic fuzzy numbers; forming quadruples of the intuitionistic fuzzy numbers and their corresponding hesitancy assignments in the intuitionistic fuzzy matrix; and calculating the intuitionistic fuzzy set distance measures with the optimal and worst water quality based on the quadruples of the intuitionistic fuzzy numbers to assess the aquaculture water quality. This invention can significantly improve the accuracy of aquaculture water quality assessment and enhance the timeliness and effectiveness of aquaculture water quality early warning.

The application provides a control method and device for a power converter of an energy storage system, a coupling relationship between active power and reactive power is analyzed through a power outer loop control model based on a virtual synchronous machine and a power coupling coefficient matrix, PI parameters of a reactive voltage compensation channel are adjusted based on the coupling relationship and a fundamental component extracted, a voltage reference value output by a PI controller after correction is obtained, a current value in a prediction time domain is predicted through a model-free predictive control method based on a bias format dynamic linearization in a current inner loop, and the voltage reference value and the current value are optimized in combination with an intuitionistic fuzzy model and a rough decision model, so that a target voltage reference value and a target current value generated after optimization are used for regulation and control. Therefore, through fusion of power decoupling, model-free predictive control, fundamental component extraction, and the intuitionistic fuzzy model and the rough decision model, adaptability, robustness and power quality of the power converter in a complex power grid environment are improved.

This invention discloses a method, equipment, and storage medium for selecting favorable areas of low-permeability carbonate gas reservoirs based on intuitionistic fuzzy multi-attribute boundary approximation region comparison (MABAC). Specifically, it includes the following steps: S1, screening key indicators of carbonate gas reservoirs for favorable area selection; S2, determining attribute weights based on the Brown-Warshall Method (BWM); S3, establishing a favorable area selection model for low-permeability carbonate gas reservoirs using the intuitionistic fuzzy multi-attribute boundary approximation region comparison method (MABAC); S4, calculating conditional probabilities, and then ranking the decision objectives included in the positive, boundary, and negative domains to obtain the favorable area selection results. This invention can simultaneously consider the influence of multiple factors on different schemes and grasp the priority relationship between factors.

The application discloses a cross-border network anomaly detection method based on intuitionistic fuzzy set and double-path learning, and belongs to the technical field of network security. The application aims at the problems of unstable feature form and poor cross-domain generalization ability caused by ignoring cognitive uncertainty in the existing method, proposes an IRU uncertainty evaluation paradigm, decomposes feature evaluation into three dimensions of evidence strength, mixed degree and form stability, and maps them to the intuitionistic fuzzy set domain; designs a risk-averse robust credibility score RTS to screen credible elite features; and constructs a double-path fidelity training architecture, which constrains the model decision logic to be anchored on the credible features through a fidelity loss function. The application realizes the synchronous improvement of detection performance and feature selection stability on multiple cross-border intrusion data sets, is especially suitable for cross-border network environments with strong resistance and significant distribution offset, and has the ability of rapid cold start deployment.

The application belongs to the field of data management, and discloses a data center load elasticity regulation potential evaluation method and device, which comprises the following steps: performing scale unification processing on operation information collected from a data center, combining an attention mechanism driven feature selection algorithm to screen out key indicators; designing and calculating the objective weights of each core evaluation indicator, combining a multi-dimensional coupling operation of an intuitionistic fuzzy comprehensive evaluation model to obtain the migration level of each task; calculating the proportion of the total power load of tasks determined as high and medium migration levels in the current total load of the data center, and when the proportion exceeds a preset threshold, using a baseline load curve of the data center to solve a multi-constraint optimization model and calculate the elasticity regulation interval of the power load; taking the generated evaluation data as independent evidence to perform data fusion; and according to a deviation correction type GBRT algorithm, correcting the fused evaluation results to output the load elasticity regulation potential evaluation results.

This invention relates to the field of integrated defense and early warning technology for clustered targets, and discloses a clustered target threat early warning method based on intuitionistic fuzzy game theory and consensus decision-making. This method collects raw data from multiple sensors and quantifies it into an intuitionistic fuzzy set to generate a clustered integrated decision matrix; calculates the degree of consensus and hesitation potential energy; when consensus is insufficient, it generates resource focusing instructions to drive sensors to adjust physical parameters and perform feedback correction to form a consensus closed loop; it constructs a strategic conflict model to perform game-theoretic linkage analysis to solve for optimal attribute weights and calculates a dynamic early warning threshold; finally, it calculates the final early warning score based on the MABAC algorithm, compares it with the dynamic threshold to trigger an alarm, and outputs a dynamic interpretation vector. This invention solves the problems of decision oscillation and poor adaptability to fixed thresholds in complex electromagnetic environments by using physical information synergy enhancement and strategic game threshold drift mechanisms, thereby improving the accuracy and interpretability of early warnings.

The application discloses a strong Stackelberg game strategy generation method based on an intuitionistic fuzzy set, and the method comprises the following steps: acquiring a topology structure of an infrastructure network, letting a defender be a forerunner, determining strategy sets of an attack party and the defender, and constructing a complex network strong Stackelberg game model; determining an index representing network connectivity, calculating the income of the attack party and the defender under various strategy profiles in the complex network strong Stackelberg game model, and thus obtaining an income matrix; constructing a hyperbolic membership function and a non-membership function by using an intuitionistic fuzzy set determination method; converting the income matrix into an intuitionistic fuzzy set income matrix by using the hyperbolic membership function and the non-membership function; converting the solution of the complex network strong Stackelberg game model into the solution of a nonlinear programming problem, obtaining a mixed strategy Nash equilibrium solution, and thus obtaining the strategy optimization results of the attack party and the defender.

The embodiment of the application provides a kind of method and system for identifying air target based on fuzzy inference, it is related to target identification technical field.The method for identifying air target based on fuzzy inference includes: obtaining the multiple flight data corresponding to target aircraft at multiple times;According to the fuzzy processing of multiple flight data by preset flight parameter, generate multiple input variable fuzzy data;According to the multiple input variable fuzzy data obtained by preset intuitionistic fuzzy inference model and multiple output variable fuzzy data;The comprehensive identification result is obtained by fusing multiple output variable fuzzy data.The method for identifying air target based on fuzzy inference can realize the technical effect of the accuracy of air target identification.

Aiming at the problem of low efficiency of expert classification method caused by expert heterogeneity in group decision making, this paper proposes an intuitionistic fuzzy group decision making method based on confidence-bias classification. Firstly, a hierarchical calculation strategy with confidence priority is proposed, using high-confidence subgroups as local benchmarks to avoid the interference of low-quality opinions on the consensus benchmark. Secondly, a composite bias index containing Euclidean distance and directional deviation is proposed, which combines with the confidence to classify experts into four types: core type, innovative type, ordinary type and adjustment type. On this basis, an adaptive feedback mechanism based on the coupling of confidence and bias is designed, and different consensus guidance strategies are implemented for different types of experts. Numerical examples and comparative analysis show that this method can effectively obtain accurate decision results, and retain high-confidence heterogeneous opinions in the consensus reaching process, thus ensuring the efficiency of consensus while effectively preserving high-confidence decision information.

The application discloses a method for generating infrastructure network attack and defense game strategy based on multi-index fusion, and has the characteristics that the method comprises the following steps: acquiring the topology structure of an infrastructure network, determining the strategy set of player 1 and player 2, and constructing an infrastructure network game model; calculating the payoff matrix of player 1 and player 2 in the infrastructure network game under various strategy profiles respectively by taking three network performance indexes of the maximum connected piece scale, network efficiency and clustering coefficient; constructing three pairs of membership functions and non-membership functions according to the preference of a decision maker; converting the payoff matrix into an intuitionistic fuzzy set payoff matrix by using the three pairs of membership functions and non-membership functions, and obtaining a final payoff matrix by using an intuitionistic fuzzy weighted aggregation operator for weighted fusion; and combining the intuitionistic fuzzy set theory to convert the solution of the infrastructure network game model into the solution of a nonlinear programming problem, so as to obtain the mixed strategy Nash equilibrium solution of player 1 and player 2.

The application discloses a buried hill fractured reservoir water injection development effect data processing method, the method comprises the following steps: obtaining a plurality of water injection development index systems constructed in advance, evaluation indexes corresponding to each water injection development index system, and the number of buried hill fractured reservoirs of water injection development; respectively, the evaluation indexes corresponding to each water injection development index system are subjected to intuitionistic fuzzy conversion, and the intuitionistic fuzzy numbers corresponding to each evaluation index are obtained; respectively, the intuitionistic fuzzy number matrix corresponding to each water injection development index system is constructed; the evaluation indexes corresponding to each water injection development index system are weighted by a combination weighting algorithm, and the combination weight vector of the evaluation indexes corresponding to each water injection development index system is obtained; the ideal solution sorting method evaluation model is used to determine the comprehensive relative closeness of each buried hill fractured reservoir water injection development. The technical scheme provided by the application can improve the accuracy of buried hill fractured reservoir water injection development effect data processing.