Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new method for document retrieval using fuzzy-valued concept networks, where the relevant degrees beten the concepts in a fuzzy-valued concept network are represented by arbitrary shapes of fuzzy numbers. There are two kinds of relevant relationships beten any two concepts in a fuzzy-valued concept network, i.e., fuzzy positive association and fuzzy negative association. The relevant matrices and the relationship matrices are used to model the fuzzy-valued concept network. The elements in a relevant matrix represent the relevant degrees beten concepts. The elements in a relationship matrix represent the relevant relationships beten concepts. Furthermore, ne also allow users' queries to be represented by arbitrary shapes of fuzzy numbers and to use fuzzy positive association relationship and fuzzy negative association relationship for formulating their queries for increasing the flexibility of fuzzy information retrieval systems.  also present an information retrieval method in the Internet environment based on the network-type fuzzy-valued concept network architecture.
['Shyi-Ming Chen', 'Yih-Jen Horng', 'Chia-Hoang Lee']
I am writing a research paper on a idea Document retrieval using fuzzy-valued concept networks
[{"from": "human", "value": "I am writing a research paper on a idea Document retrieval using fuzzy-valued concept networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new method for document retrieval using fuzzy-valued concept networks, where the relevant degrees beten the concepts in a fuzzy-valued concept network are represented by arbitrary shapes of fuzzy numbers. There are two kinds of relevant relationships beten any two concepts in a fuzzy-valued concept network, i.e., fuzzy positive association and fuzzy negative association. The relevant matrices and the relationship matrices are used to model the fuzzy-valued concept network. The elements in a relevant matrix represent the relevant degrees beten concepts. The elements in a relationship matrix represent the relevant relationships beten concepts. Furthermore, ne also allow users' queries to be represented by arbitrary shapes of fuzzy numbers and to use fuzzy positive association relationship and fuzzy negative association relationship for formulating their queries for increasing the flexibility of fuzzy information retrieval systems.  also present an information retrieval method in the Internet environment based on the network-type fuzzy-valued concept network architecture."}]