Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2005.11a
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- Pages.271-275
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- 2005
Prediction of User Preferred Cosmetic Brand Based on Unified Fuzzy Rule Inference
- Kim, Jin-Sung (School of Business Administration, Jeonju University)
- 김진성 (전주대학교)
- Published : 2005.11.01
Abstract
In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between
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