Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
| Hi-index | 0.00 |
The objective of the course is to give students experience using a generic front-end for relational knowledge based systems that explore the advantages of fuzzy "computing with words," a natural language protocol that provides users the freedom to permit their common use of vague measurement terms in analyzing vague and partial relational knowledge structures. This course applies fuzzy logic to filter, organize, and compare verbal relational requests (queries) that relate patient symptoms with diseases. Also, an English Query Language (EQL) grammar is used to form appropriate queries that represent the BK-Product analysis being made on fuzzy relations. BK-products provide the computational structure that permits the use of natural language queries to direct a reasoning process. Students use a front-end prototype unit to parse and translate a natural language query into a BK-product meta-formula. This formula is evaluated for the degree of set membership as called for by the given product analysis.