Fuzzy evaluation on archives digitization level based on improved algorithm

Author

Sun, Xiaofei

Author_Institution

Sch. of Kexin, Hebei Univ. of Eng., Handan, China

Volume

3

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

17

Lastpage

20

Abstract

Archives digitization refers to the transforming process of traditional archives to digital archives. Digital archives can, to a greater extent, meet the public demand for accessing to the file information, improve the utilization of archives and its society status, and strengthen its function of cultural institutions. So, It has important practical significance to quantitatively research on archives digitization level. The paper will eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership and apply the new algorithm in the fuzzy evaluation on the dynamic evaluation of archives digitization level. Evaluation results of examples showed the validity of the improved model and the model can achieve the dynamic evaluation of archives digitization level.

Keywords

algorithm theory; information retrieval systems; matrix algebra; records management; archives digitization level; digital archives; fuzzy evaluation; improved algorithm; index membership; object classification; traditional archives; Cultural differences; Data mining; Entropy; Fuzzy systems; Intelligent transportation systems; Power electronics; Power engineering and energy; Scattering; Sun; Testing; M(1,2,3) model; archives; digitization level; fuzzy evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-4544-8

Type

conf

DOI

10.1109/PEITS.2009.5406824

Filename

5406824