Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 25, 2023


Pages


DOI

Article

A Study on Multi-level Topologizable Optimization Decision Analysis of Online Digital Library Resources

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Authors

Jingya Wang Affiliation:
Library, Yantai Vocational College, Yantai, Shandong, 264670, China.
and Aijun Zhang Affiliation:
Basic Department, Yantai Vocational College, Yantai, Shandong, 264670, China.


Abstract

This paper firstly proposes a digital resource system of university libraries oriented to knowledge service for digital library resource evaluation research, which mainly consists of a knowledge service diamond system and digital resource diamond system, and studies the evaluation elements and evaluation process of this system, then constructs the evaluation system of library digital resources from quantitative evaluation and qualitative evaluation, etc., and through multi-level topologizable theory, the evaluation indexes and The evaluation indexes and the correlation function are calculated by multi-level topology theory, to derive the weight coefficients and comprehensive superiority of the evaluation indexes, and an example analysis of the digital library based on multi-level topology optimization decision making is conducted. The results show that the users’ comprehensive evaluation of digital library decision-making is excellent, S2, S5 is good, S3 is medium, and S4 is average, where S5 has a higher comprehensive correlation degree in the good level than the correlation degree of S2, indicating that this study improves the quality of digital library decision making in universities and then better serves the users.


Keywords

Multi-level toposable, Correlation function, Weight coefficient, Digital library, Resource evaluation system, 97P70


Citation

Wang, J. & Zhang, A. (2023). A study on multi-level topologizable optimization decision analysis of online digital library resources. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00803

Published by: Engineering Journals

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