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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhengping Wu Hao Wu |
| Copyright Year | 2009 |
| Abstract | In e-commerce applications, the magnitude of products and the diversity of venders cause confusion and difficulty for common consumers to choose the right product from a trustworthy vender. Although people have recognized the importance of feedbacks and reputations for the trustworthiness of individual venders and products, they still have difficulties when they have to make a shopping decision from a huge number of choices. This paper introduces fuzzy logic into rule definition for preferences of venders and price for products, and designs a novel agent-based decision system using fuzzy rules and reasoning mechanisms to find the right product from a trustworthy vender according to users’ preferences. |
| Starting Page | 803 |
| Ending Page | 808 |
| File Size | 563257 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424447350 |
| DOI | 10.1109/ISDA.2009.171 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-30 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision-making Fuzzy Recommendation E-Commerce Probability Preference-based shopping Extraterrestrial measurements Application software Electronic commerce Environmental management Computer science Fuzzy logic Design engineering Intelligent systems Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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