Applying consistent fuzzy linguistic preference relations to e-commerce system selection

Authors:
Yueh-Hsiang Chen
Affiliations:
Graduate Institute of Information Technology and Applications, Kao Yuan University, Kaohsiung County, Taiwan
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

Citing 2
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Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP

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Abstract

The evaluation process takes on a broader and more complex characteristic with the growth of interorganizational projects, programs, and technologies. Facing imprecise or fuzziness factors, most decision making method uses fuzzy analytic hierarchy process (Fuzzy AHP) method. However, the numbers of comparisons increases with the number of criteria, the decision maker judgments will most likely be inconsistent. This paper adopts consistent fuzzy linguistic preference relations (Fuzzy LinPreRa) method to select e-commerce communication system. The proposed method yields decision matrices for making pairwise comparisons using additive transitivity. Only n-1 comparison judgments are required to ensure consistency on a level that contains n criteria.