Fuzzy Theory based Electronic Commerce Navigation Agent that can Query by Natural Language

자연어 질의가 가능한 퍼지 기반 지능형 전자상거래 검색 에이전트

In this paper, we proposed the intelligent navigation agent model for successive electronic commerce management. For allowing intelligence, we used fuzzy theory. Fuzzy theory is very useful method where keywords have vague conditions and system must process that conditions. So, using theory, we proposed the model that can process the vague keywords effectively. Through the this, we verified that we can get the more appropriate navigation result than any other crisp retrieval keywords condition.