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The Research And Application Of University Library Reader Credit Evaluation System

Posted on:2013-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ChengFull Text:PDF
GTID:2218330371454532Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Library is the document information center of the college, and it is the academic institution which provides direct services for teaching and scientific research. Due to the bad social ethos, some of the readers with poor self-discipline and many other factors, in addition to defects in library's management, which results in the serious discreditable phenomenon, such as loss of library collection and books defacement. The discreditable actions of some readers not only disturb the normal order of library services, but also destroy the other readers' rights and interests. By constructing the University Library Reader Credit Management System, the readers'actions are scientifically evaluated through the application of Credit Evaluation System. Then librarians can determine the credit rating of reader. Readers' different credit levels correspond to the grade of services. Base on this evaluation, librarians can develop the reader's personalized service specifically.The core of Reader Credit Management System is the construction of reader credit evaluation system. Reader credit evaluation is done according to the reader's current credit information. Credit score is determined by reader's borrowing and returning behavior as well as the readers'reading behavior inside the library. Various indicators are assigned with different weights. Credit score is calculated through the weighted indicators. Using the sample data, firstly credit evaluation model is described by evaluation of selected readers'borrowing and returning behavior, the reading behavior indicators, then each level indicators are divided into a plurality of two level indexes and the corresponding three level indexes, to each grade index with different weights, and then calculate each index weight, finally the evaluation of human credit and credit rating is got. This thesis based on the analysis and design of reader's credit evaluation model, a college's library credit evaluation system, through the experimental verification of the validity of the system.
Keywords/Search Tags:Reader, Credit Evaluation, Neural Network, Genetic Algorithm, BP Algorithm
PDF Full Text Request
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