A group behavior prediction method and device based on ahp technology
A group and behavior technology, applied in the field of group behavior prediction based on AHP technology, can solve the problems of complex prediction mechanism algorithm, affecting the applicability of group behavior prediction, increasing the difficulty of behavior data collection, etc., to achieve the goal of improving applicability and reducing complexity Effect
Active Publication Date: 2021-11-09
上海竞动科技有限公司
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[0005] In view of the above problems, the purpose of the present invention is to solve the problem of group behavior prediction by group subdivision in the prior art, which affects the applicability of group behavior prediction, and the prediction mechanism algorithm is too complicated by increasing the analysis dimension. The problem of the difficulty of collecting behavioral data
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[0052]Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0053] refer to figure 1 As shown, the embodiment of the present invention provides a group behavior prediction method based on AHP technology, the method includes: steps S101-S104;
[0054] S101. Construct a group set based on individuals, establish a network structure according to the individuals in the group set, and use the individual behavior status and the network structure to generate group network conduction.
[0055] Speci...
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The invention discloses a group behavior prediction method and device based on AHP technology. The method includes: constructing a group set based on individuals, establishing a network structure according to the individuals in the group set, and using the individual behavior state and the network structure Generate the conduction of the group network; predict the group behavior state according to the individual behavior state and the conduction of the group network, generate a group behavior prediction scheme; establish individual set criteria, network structure criteria and conduction criteria, and based on the group behavior prediction scheme Setting prediction parameters corresponding to the individual set criterion, the network structure criterion and the conduction criterion; inputting the individual set criterion, the network structure criterion, the conduction criterion and the predictive parameter into the comprehensive evaluation model to generate the evaluation results of group behavior prediction schemes. This method can accurately predict group behavior, reduce the complexity of the prediction mechanism algorithm, and improve the applicability of the prediction mechanism.
Description
technical field [0001] The invention relates to the technical field of group behavior prediction, in particular to a group behavior prediction method and device based on AHP technology. Background technique [0002] Any group is a collection composed of a certain number of individuals, but it is impossible for a group to be just unrelated individuals, but an organic whole formed by the interaction and mutual influence of individuals. Moreover, the interaction and influence between individual behaviors will eventually form a certain consistency within the group, while maintaining a certain degree of differentiation. [0003] At present, the prediction of group behavior by existing technologies is widely used in many scenarios such as e-commerce, financial evaluation, transportation, public space order maintenance, etc., but how to improve the accuracy of prediction is a difficult problem. One of the main ideas of the existing technology is to subdivide the group, because the...
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IPC IPC(8): G06N3/00G06Q10/04G06Q10/06
CPCG06N3/006G06Q10/04G06Q10/06393
Inventor 吴凤山张松松庄振
Owner 上海竞动科技有限公司