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Data-mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values, however, transactions with quantitative values are commonly seen in real-world applications. This paper thus proposes a new data-mining algorithm for extracting...
Most fuzzy controllers must predefine membership functions and fuzzy inference rules to map numeric data into fuzzy linguistic values and make fuzzy reasoning work. In T.P. Hong, C.Y. Lee, Fuzzy Sets and Systems 84 (1996) 33-47, we proposed a general learning method for automatically deriving fuzzy-if-then rules and membership functions from a set of given training examples by merging the decision...
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