4 results about "Design–Expert" patented technology

This invention belongs to the field of healthcare informatics, specifically relating to a method and apparatus for the automatic generation and evaluation of psychological scales for different subject populations. The method is based on expert-designed expert factors, utilizing a large-scale model to perform semantic analysis and structural induction on existing psychological scales, extracting psychological constructs and construct dimensions to form a knowledge base of psychological scale items. Based on this knowledge base, and given the scale design requirements such as target psychological constructs and subject population characteristics, the method combines the item knowledge base with the structural validity constraint mechanism of the expert-designed psychological scales to achieve the generation of customized psychological scales for different subject populations. Furthermore, it proposes a multi-dimensional automatic evaluation system for psychological scales that meets psychometric requirements, covering multiple different dimensions, providing feedback information for scale content optimization, and realizing the transformation of psychological scales from manual design to automated and controllable generation.

The invention belongs to the technical field of group decision support and consensus modeling, and discloses a data-driven civil aircraft interior design expert self-confidence modeling method and system. Comprising the following steps: respectively constructing initial scoring matrixes corresponding to experts; in the scheme dimension and the index dimension, performing normalization processing on the initial score matrix of the bit expert to obtain a scheme dimension matrix and an index dimension matrix corresponding to the bit expert; based on the scheme dimension matrix and the index dimension matrix, respectively calculating scheme dimension information entropy and index dimension information entropy of each expert, respectively inputting the scheme dimension information entropy and the index dimension information entropy into a pre-constructed self-confidence degree evaluation model, and dynamically evaluating the expert self-confidence degree of each expert; according to the method, the structural deviation in score distribution can be identified, and the judgment difference of experts in different score directions can be accurately described, so that the explanatory force and the distinction degree of the self-confident degree of the experts are improved, and the method has good universality and expandability.

The invention relates to an expert system-based split cabin clamping device design method, which is characterized by comprising the following steps of: 1, constructing a split cabin clamping design expert system which comprises a user interface, a knowledge base, a rule base, an interpretation machine and an inference machine; 2, constructing and training a neural network prediction model; the neural network prediction model comprises an input layer, a middle layer and an output layer; 3, key design parameters of the split cabin to be machined are input through the user interface; fourthly, the inference engine conducts inference calculation on the input parameters, and a complete design scheme of the clamping device is generated; and 5, outputting the design scheme, wherein the scheme comprises the overall layout of the clamping device, the number of supporting points, the layout, the selection of a positioning surface and the range of clamping force. By constructing a knowledge base and an expert system reasoning mechanism, the intelligent design of the clamping device is realized, and the design efficiency is remarkably improved.

The invention discloses a ship equipment abnormity diagnosis system based on a fault tree expert system, and the system comprises the steps: constructing an expert knowledge base module: designing an expert knowledge base, decomposing a top event into an intermediate event, and decomposing the intermediate event into a terminal event; performing qualitative analysis by using a downlink method, and determining a fault minimum combination; quantifying a fault influence weight; logically converting the fault tree model to form an expert knowledge base of a generative rule; constructing a database module: adopting a distributed architecture for an expert knowledge base, and providing data support for an inference engine; constructing a knowledge reasoning engine and an interpreter module, wherein a core mechanism of the reasoning engine adopts a forward reasoning strategy, and expert knowledge base rules are matched according to levels; a natural language interpretation is generated based on the inference path. The invention further discloses a ship equipment abnormity diagnosis method based on the fault tree expert system. According to the invention, rapid diagnosis and early warning of ship system faults are realized, the operation and maintenance reliability and intelligent level are improved, and the method can be widely applied to the technical field of ship automatic operation and maintenance.