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- W2153048654 abstract "In this paper, the modified fuzzy relational modeling structure is configured in a harmonious manner to obtain some useful properties with both theoretical and practical significance. An appropriate derivative-based iterative identification algorithm is presented for the proposed structure. The proposed model configuration along with the proposed identification algorithm constitute a powerful modeling framework which can be used in several applications. In the context of intelligent modeling, the resulting modeling framework, while preserving a high modeling capability, alleviate the lack of analyzability of the model somehow. It also prevents the existence of hard conflicts between the rules in the rule-base. Furthermore, high relative errors in output computations are prevented by using the proposed scheme." @default.
- W2153048654 created "2016-06-24" @default.
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- W2153048654 date "2013-08-01" @default.
- W2153048654 modified "2023-09-24" @default.
- W2153048654 title "Toward a concrete framework for intelligent linguistic modeling" @default.
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- W2153048654 doi "https://doi.org/10.1109/ifsc.2013.6675694" @default.
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