Multi-attribute Evaluation of Website Quality in E-business Using an Integrated Fuzzy AHP-TOPSIS Methodology

被引：0

作者：

Kaya, Tolga ^{[1
]}

机构：

[1] Istanbul Tech Univ, Dept Engn Management, TR-34367 Istanbul, Turkey

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2010年 / 3卷 / 03期

关键词：

Website quality; e-business; fuzzy; multicriteria; TOPSIS; AHP; INFORMATION-SYSTEMS SUCCESS; DECISION-MAKING; E-COMMERCE; MODEL; PERFORMANCE; SELECTION; SATISFACTION; CONSUMER; DELONE; IMPACT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Success of an e-business company is strongly associated with the relative quality of its website compared to that of its competitors. The purpose of this study is to propose a multi-attribute e-business website quality evaluation methodology based on a modified fuzzy TOPSIS approach. In the proposed methodology, weights of the evaluation criteria are generated by a fuzzy AHP procedure. In performance evaluation problems, the judgments of the experts may usually be vague in form. As fuzzy logic can successfully deal with this kind of uncertainty in human preferences, both classical TOPSIS and classical AHP procedures are implemented under fuzzy environment. The proposed TOPSIS-AHP methodology has successfully been applied to a multi-attribute website quality evaluation problem in Turkish e-business market. Nine sub-criteria under four main categories are used in the evaluation of the most popular e-business websites of Turkey. A sensitivity analysis is also provided.

引用

页码：301 / 314

页数：14

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