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Considering the facts that people access to item information more easily than to user information given user privacy, and the features of items selected by the user always imply his/her preferences, we hope to utilize item features to mine user preferences besides ratings. What is more, ratings are often linguistic labels and fuzzy set is tailor-made to represent them. Therefore, we propose a novel...
Fuzzy systems are excellent approximators of known functions or for the dynamic response of a physical system. We propose a new approach to approximate any known function by a Takagi–Sugeno–Kang fuzzy system with a guaranteed upper bound on the approximation error. The new approach is also used to approximately represent the behavior of a dynamic system from its input–output pairs using experimental...
In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule base from the data. Based on this model, a back-propagation algorithm with momentum terms is used to refine the initial fuzzy model. The refined model...
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