The explosive growth of e-marketplace transactions requires an appropriate trust measuring framework to protect involving transacting entities such as buyers and sellers. As a strategic competitive edge, e-marketplace service providers have been adopting various system features that make sure no one transacting entity takes a major risk in online transactions involved. In this paper, an improved trust measuring method using fuzzy theory for an e-marketplace is proposed. The proposed methodology incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of risk involved in a specific e-marketplace transaction concerned. The proposed framework can be utilized to optimize the transaction costs by recommending a differentiated transaction process according to the risk level involved in each online transaction.
Ⅰ. 서론
Ⅱ. 온라인 신뢰 측정의 이론적 고찰
Ⅲ. 퍼지 기반 거래 신뢰도 측정
Ⅳ. 신뢰 기반 e-마켓플레이스의 설계와 활용
Ⅴ. 결론
참고문헌
Abstract