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Title:
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A FUZZY CLASSIFICATION APPROACH TO ASSESS E-COMMERCE SECURITY PERCEPTION |
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Author(s):
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Faouzi Kamoun, Mohanad Halaweh |
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ISBN:
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978-972-8939-09-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2010 |
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Edition:
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Single |
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Keywords:
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E-commerce security perception, security assessment , risk perception, fuzzy set. |
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Type:
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Full Paper |
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First Page:
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239 |
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Last Page:
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246 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Human perception and judgment of website security is characterized by a high degree of subjectivity, abstraction and vagueness. This makes fuzzy set theory a suitable approach to guide towards assessing E-commerce security perception. In this study, we propose a new approach to assess E-commerce security perception, which is based on fuzzy classification techniques. We first present an E-commerce security assessment framework which is based on a comprehensive set of tangible as well as intangible security features. Using fuzzy set theory, we provide website users with the flexibility to assign linguistic judgment terms to each security feature, as well as weights to reflect different perceived levels of features importance. Fuzzy operators and decision modules are then introduced to infer the assessment grade of each security feature as well as the overall website security assessment grade. A case study is conducted to showcase the usefulness of the proposed solution. The framework and approach presented in this study can be very useful in assisting E-commerce firms evaluate customer perception of their websites security. |
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