Evaluation of knowledge portal development tools using a fuzzy AHP approach: The case of Taiwanese stone industry [An article from: European Journal of Operational Research]
Book Details
Author(s)V.B. Kreng, C.Y. Wu
PublisherElsevier
ISBN / ASINB000PAUWD0
ISBN-13978B000PAUWD2
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The mission of Stone Industry Development Center (SIDC) at Taiwan attempts to promote the upgrading of the Taiwanese stone industry which recently has suffered a severe depression. After several years of technical developments, SIDC tends to shift focus to efficient use of existing knowledge/information. Consequently, a knowledge portal system (KPS) is expected to be a strategic tool to improve the competitiveness of the Taiwanese stone industry. This study proposes a fuzzy AHP approach to help five domain experts individually evaluate three KPS development tools. Then, a technique to determine the weights of experts, which is used while aggregating group decisions, is addressed. Finally, the weighted geometric mean method is applied to reach the final decision.
Description:
The mission of Stone Industry Development Center (SIDC) at Taiwan attempts to promote the upgrading of the Taiwanese stone industry which recently has suffered a severe depression. After several years of technical developments, SIDC tends to shift focus to efficient use of existing knowledge/information. Consequently, a knowledge portal system (KPS) is expected to be a strategic tool to improve the competitiveness of the Taiwanese stone industry. This study proposes a fuzzy AHP approach to help five domain experts individually evaluate three KPS development tools. Then, a technique to determine the weights of experts, which is used while aggregating group decisions, is addressed. Finally, the weighted geometric mean method is applied to reach the final decision.
