Group activeness determination method and device

Abstract

The embodiment of the invention provides a group activeness determination method and device, relates to the field of data analysis, and can determine the group activeness more accurately. The method provided by the embodiment of the invention comprises the following steps: constructing a criterion layer judgment matrix and an index layer judgment matrix for each group of preset ratio sets; determining the weight of each project category according to the feature vector corresponding to the maximum feature root of the criterion layer judgment matrix, determining the weight of each index according to the feature vector corresponding to the maximum feature root of the index layer judgment matrix and the weight of each project category, and determining the weight of each index, and based on theweight of each index, generating a weight vector corresponding to the group of preset ratio sets. and for each weight vector included in the weight vector set, calculating the sum of included anglesbetween the weight vector and other weight vectors, and determining the weight vector with the minimum sum of the included angles as a target vector, and then, based on the weights of the indexes included in the target vector, calculating the weighted sum of the attribute values of the indexes included in the specified group to obtain the activeness of the specified group.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a method and device for determining group activity. Background technique [0002] In order to facilitate the management of group activities and provide a good reference for those who want to join the group, it is very important to determine the group activity. For example, when volunteers choose the volunteer groups they want to join, if they can obtain the activity of each volunteer group, it will be very helpful for volunteers to make decisions. [0003] At present, there is no uniform standard for determining the activity of a group. Generally, personnel determine the activity of a group based on experience based on the attribute parameters under each index of the group. For example, when volunteers choose a voluntary group they want to join, they judge whether the voluntary group is active based on the number of projects each voluntary group participates in, the number...

AI Technical Summary

Problems solved by technology

[0004] However, due to the different preferences, mental states and levels of each person, the way to determine group activity is too subjective, and it is difficult to accurately determine group activity.

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