TY - JOUR
T1 - A fuzzy-based decision-making procedure for data warehouse system selection
AU - Lin, Hua Yang
AU - Hsu, Ping Yu
AU - Sheen, Gwo Ji
PY - 2007/4
Y1 - 2007/4
N2 - The increase in the number of companies seeking data warehousing solutions, in order to gain significant business advantages, has created the need for a decision-aid approach in choosing appropriate data warehouse (DW) systems. Owing to the vague concepts frequently represented in decision environments, we have proposed a fuzzy multi-criteria decision-making procedure, to facilitate data warehouse system selection, with consideration given to both technical and managerial criteria. The procedure can systematically construct the objectives of DW systems selection to support the business goals and requirements of an organization, and identify the appropriate attributes or criteria for evaluation. In the fuzzy-based method, the weight of each criterion and the rating of each alternative are described using linguistic terms, which can also be expressed as triangular fuzzy numbers. The fuzzy algorithm aggregated the decision-makers' preference rating for criteria, and the suitability of data warehouse alternatives versus the selection criteria, to calculate fuzzy appropriateness indices, through which, the most suitable data warehouse system was determined. A case study of a Bar Code Implementation Project for Agricultural Products in Taiwan was conducted to illustrate this method's effectiveness.
AB - The increase in the number of companies seeking data warehousing solutions, in order to gain significant business advantages, has created the need for a decision-aid approach in choosing appropriate data warehouse (DW) systems. Owing to the vague concepts frequently represented in decision environments, we have proposed a fuzzy multi-criteria decision-making procedure, to facilitate data warehouse system selection, with consideration given to both technical and managerial criteria. The procedure can systematically construct the objectives of DW systems selection to support the business goals and requirements of an organization, and identify the appropriate attributes or criteria for evaluation. In the fuzzy-based method, the weight of each criterion and the rating of each alternative are described using linguistic terms, which can also be expressed as triangular fuzzy numbers. The fuzzy algorithm aggregated the decision-makers' preference rating for criteria, and the suitability of data warehouse alternatives versus the selection criteria, to calculate fuzzy appropriateness indices, through which, the most suitable data warehouse system was determined. A case study of a Bar Code Implementation Project for Agricultural Products in Taiwan was conducted to illustrate this method's effectiveness.
KW - Data warehouse system
KW - Fuzzy sets
KW - Multi-criteria decision making
KW - Objectives hierarchy
KW - Software selection
UR - http://www.scopus.com/inward/record.url?scp=33751007002&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2006.01.031
DO - 10.1016/j.eswa.2006.01.031
M3 - 期刊論文
AN - SCOPUS:33751007002
SN - 0957-4174
VL - 32
SP - 939
EP - 953
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 3
ER -