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|Title:||Building fuzzy graphs from samples of nonlinear functions||Authors:||Tan, S.
|Issue Date:||1998||Citation:||Tan, S.,Yu, Y.,Wang, P.-Z. (1998). Building fuzzy graphs from samples of nonlinear functions. Fuzzy Sets and Systems 93 (3) : 337-352. ScholarBank@NUS Repository.||Abstract:||This paper considers the problem of constructing fuzzy graphs from samples of multi-dimensional nonlinear functions to meet a precision requirement. It starts by defining the basic notions of fuzzy granulation, fuzzy graph, fuzzification and defuzzification. The formulation of the problem is then stated in a fuzzy granulation and function approximation framework. This is followed by the development of a recursive scheme that builds a fuzzy graph by generating a set of fuzzy rules and membership functions from the samples of a nonlinear function. Rigorous analysis is carried out to establish the convergence of such a recursive scheme. A few illustrative examples are also used to assess both the efficacy and the efficiency of the proposed scheme. © 1998 Elsevier Science B.V.||Source Title:||Fuzzy Sets and Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/50537||ISSN:||01650114|
|Appears in Collections:||Staff Publications|
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