Cover Image

Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method

Saved in:
Bibliographic Details
Main Author: Hassani , Sara
Format: Thesis
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/16667/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.16667
record_format eprints
spelling my.utm.166672021-05-17T07:02:25Z http://eprints.utm.my/id/eprint/16667/ Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method Hassani , Sara QA75 Electronic computers. Computer science 2010 Thesis NonPeerReviewed Hassani , Sara (2010) Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hassani , Sara
Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
format Thesis
author Hassani , Sara
author_facet Hassani , Sara
author_sort Hassani , Sara
title Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
title_short Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
title_full Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
title_fullStr Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
title_full_unstemmed Rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
title_sort rubric matrix for evaluating knowledge management capability by using fuzzy linguistic method
publishDate 2010
url http://eprints.utm.my/id/eprint/16667/
_version_ 1701162953785475072
score 13.18916

Similar Items