DocumentCode
2636013
Title
Evaluating RFID System Suppliers under Fuzzy Environment: Based on Incomplete Linguistic Preference Relations
Author
Wang, Tien-Chin ; Chang, Tsung-Han ; Hsu, Shu-Chen
Author_Institution
Dept. of Inf. Manage., I-Shou Univ., Kaohsiung
fYear
2008
fDate
18-20 June 2008
Firstpage
263
Lastpage
263
Abstract
RFID (radio frequency identification) can help enterprise to collect information, so as to improve organizational efficiency and competitiveness; before the enterprise installs RFID system, if the enterprise can choose the most suitable RFID system for itself rapidly, then limitless value would be brought to the enterprise. This study adopts the method of Incomplete linguistic preference relations to simplify calculation and speed up the process of comparison and selection of alternative. This method considers only n-1 judgments, whereas the tradition analytic hierarchy approach (AHP) takes n(n-1)/2 judgments in a preference matrix with n elements to establish a complete preference relation decision making matrix. Experts obtain the matrix by choosing a finite and fixed set of alternatives and perform a pairwise comparison based on their different preferences and knowledge; it is easily led to the reduction of efficiency and the production of inconsistency.
Keywords
decision making; fuzzy set theory; linguistics; matrix algebra; operations research; radiofrequency identification; AHP; RFID system supplier evaluation; analytic hierarchy approach; linguistic preference relations; preference matrix; preference relation decision making matrix; radio frequency identification; Decision making; Enterprise resource planning; Fuzzy systems; Hearing aids; Information management; Production; Radiofrequency identification; Safety; Supply chain management; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.258
Filename
4603452
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