Extracting Linguistic Rules from Database using Linguistic Aggregation Operator

摘要

In real-world database, most attribute values of ob-jects are numerical, numeral is too detail to obtain-ing good information or decision. Hence, linguistic rules of a set of data would be very desirable and human consistent. Based on a new aggregation op-erator for aggregating linguistic terms, extracting linguistic rules are presented. Due to obtain a lin-guistic rule with higher truth degree, genetic algo-rithm is used to optimize the number and member-ship functions of linguistic terms.