9 results about "Pairwise comparison matrix" patented technology

The application relates to the technical field of storage and transportation equipment maintenance support, in particular to a storage and transportation system equipment maintenance support capability evaluation method, system, equipment and medium, which comprises the following steps: constructing an evaluation index system of the storage and transportation system equipment maintenance support capability; defining a homologous index group and constructing a pairwise comparison matrix for each homologous index group; constructing a judgment influence factor matrix for the pairwise comparison matrix according to the storage and transportation scene of an evaluation object, performing Hadamard product operation to obtain a scene adaptation judgment matrix, and then performing analytic hierarchy process weight calculation to obtain a final index scene weight matrix; calculating the initial evaluation value of each final index, calculating the comprehensive evaluation value of the storage and transportation system maintenance support capability according to the initial evaluation value and the final index scene weight matrix, and further evaluating the equipment maintenance support capability of the evaluation object. The application can make the weights of various indexes match the actual demand in real time, overcome the unexplainable defects, and provide transparent basis for maintenance decision.

The application discloses a multi-alternative set hierarchical analysis weight determination method for aviation standard evaluation, which comprises the following steps: obtaining an index set with multiple alternatives in an aviation standard index system; dividing the index set into multiple sub-index sets according to evaluation division rules; comparing the indexes in the sub-index sets two by two to obtain corresponding pair comparison matrices; calculating the weight vectors of the corresponding sub-index sets by using a logarithmic linear regression method for each pair comparison matrix; and cyclically splicing and calculating the weight vectors of all the sub-index sets to determine the weights of all the alternatives in the index set. The application can significantly reduce the weight determination calculation amount of the indexes in the multi-alternative set and effectively guarantee the consistency of the evaluation.

The invention relates to the technical field of storage and transportation equipment maintenance support, in particular to a storage and transportation system equipment maintenance support capability evaluation method, system, equipment and medium, and the method comprises the steps: constructing an evaluation index system of the storage and transportation system equipment maintenance support capability; defining homologous index groups and constructing a pairwise comparison matrix for each homologous index group; according to a storage and transportation scene of an evaluation object, constructing a judgment influence factor matrix for the pairwise comparison matrix, executing Hadamard product operation to obtain a scene adaptation judgment matrix, and then executing analytic hierarchy process weight calculation to obtain a final-stage index scenarized weight matrix; and calculating an initial evaluation value of each final-stage index, calculating a comprehensive evaluation value of the maintenance support capability of the storage and transportation system according to the initial evaluation values and the final-stage index scenarized weight matrix, and further evaluating the equipment maintenance support capability of the evaluation object. According to the method, the weights of the indexes can be matched with actual requirements in real time, uninterpretable defects are overcome, and a transparent basis is provided for maintenance decisions.

The present invention discloses a calculation method for the tunneling adaptability of a small turning radius TBM in a pumped storage power station, including determining the tunneling adaptability index of the small turning radius TBM in the pumped storage power station and constructing a hierarchical diagram; respectively establishing paired comparison tables between the base layer and the target layer and the index layer; converting the paired comparison tables into paired comparison matrices; respectively calculating the total weights of each element in the index layer and calculating the membership degrees of each index F <subgt;1< / subgt> to F <subgt;20< / subgt>; and finally calculating the tunneling adaptability of the small turning radius TBM in the pumped storage power station S . The present invention can scientifically calculate and evaluate the adaptability of the small turning radius TBM in the tunneling construction of the pumped storage power station project, and provide a scientific basis for the evaluation and optimization improvement of the TBM tunneling construction state.

The invention relates to a dynamic video coding parameter optimization method based on environmental factors, and the method comprises the steps: carrying out the evaluation of a current coding environment before coding, and obtaining environmental parameters; based on the environment parameters, a paired comparison matrix A is dynamically constructed; processing the paired comparison matrix A by using an AHP method, calculating the weight of each criterion, standardizing each row of the paired comparison matrix A and averaging to obtain a weight vector W, and performing consistency check; defining a specific coding parameter configuration set P, and scoring configurations in the coding parameter configuration set P; and selecting optimal solution configuration by using a TOPSIS method, and applying the optimal solution configuration to video coding. The method has the beneficial effects that the most suitable FFmpeg coding parameter configuration can be intelligently selected on the basis of the current system environment at the beginning of coding, so that the coding efficiency and the resource use are optimized while the video quality is ensured.

The application relates to the technical field of computer system evaluation, and particularly discloses an evolvable and reliable cloud level calculation system and method based on game optimization; the method comprises the following steps: in the first stage, a pair comparison matrix is established based on the theory of trusted computing dependency tree and the analytic hierarchy process to generate a static weight vector; in the second stage, multi-source threat data is collected through an AI model, a double comparison matrix is constructed through double-dimension labeling classification, and a dynamic weight vector is output; through game theory, an antagonistic pair of core security mechanisms is identified, an antagonistic gradient and the dynamic weight vector are calculated, a weight convergence interval and a level promotion upper bound are predicted, and an optimal weight evolution path is generated; the system is used for realizing an evolvable and reliable cloud level calculation method based on game optimization; and the application is favorable for improving the adaptability and predictability of cloud security evaluation and providing a decision basis for cloud service security optimization.

The invention relates to the technical field of computer system evaluation, and particularly discloses an evolvable credible cloud level computing system and method based on game optimization. The method comprises the following steps: in a first stage, based on a trusted computing dependency tree theory and an analytic hierarchy process, establishing a pairwise comparison matrix to generate a static weight vector; in the second stage, multi-source threat data is collected through an AI model, a dual comparison matrix is constructed through two-dimensional tagging classification, and a dynamic weight vector is output; identifying an antagonism pair of a core security mechanism through a game theory, calculating an adversarial gradient and a dynamic weight vector, realizing prediction of a weight convergence interval and a grade lifting upper bound, and generating an optimal weight performance path; the system is used for realizing an evolvable credible cloud level calculation method based on game optimization, the adaptability and predictability of cloud security evaluation are improved, and a decision basis is provided for cloud service security optimization.

The invention discloses a multi-backup option set analytic hierarchy process weighting method for aviation standard evaluation. The method comprises the following steps: acquiring an index set with multiple backup options in an aviation standard index system; dividing the index set into a plurality of sub-index sets according to an evaluation diversity rule; comparing the indexes in the sub-index set in pairs to obtain a corresponding paired comparison matrix; calculating a weight vector of a corresponding sub-index set for each paired comparison matrix by adopting a logarithmic linear regression method; and circularly splicing and calculating the weight vectors of all the sub-index sets, and determining the weight for all the standby selection items in the index set. According to the method, the fixed weight calculation amount can be remarkably reduced when the indexes in the multi-backup selection item set are too many, and the evaluation consistency is effectively guaranteed.

The present invention relates to the field of deep learning technology, and discloses a task scheduling method, comprising: obtaining tasks to be scheduled on a scheduling platform; generating a pairwise comparison matrix of the tasks to be scheduled based on multiple scheduling indicators; calculating the eigenvalues ​​and eigenvectors of the pairwise comparison matrix; determining the weights of the multiple scheduling indicators based on the eigenvalues ​​and eigenvectors; obtaining multiple scheduling schemes for the tasks to be scheduled, and calculating the scheme scores of the multiple scheduling schemes based on the weights of the multiple scheduling indicators; determining the scheduling scheme with the highest scheme score as the scheme to be scheduled; and scheduling the tasks to be scheduled according to the scheme to be scheduled. At the same time, the present invention also proposes a task scheduling device and a computer-readable storage medium. In addition, the present invention also relates to blockchain technology, and the scheduling scheme can be stored in a blockchain node. The present invention can achieve efficient task scheduling.