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Variable weighted synthesis inference method for fuzzy reasoning and fuzzy systems

机译:模糊推理和模糊系统的可变加权综合推理方法

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A new fuzzy inference method, called a VWSI (variable weighted synthesis inference) method, is presented by applying the principle of variable weighted synthesis in factor spaces theory to fuzzy inference. The analysis for response abilities of fuzzy systems constructed by VWSI algorithms indicates that such fuzzy systems have a characteristic of interpolation approximations to unknown functions. The fuzzy systems constructed by commonly used fuzzy inference algorithms are equivalent to some special fuzzy systems constructed by VWSI algorithms. A simulation experiment shows the advantage of VWSI method. (c) 2006 Elsevier Ltd. All rights reserved.
机译:通过将因子空间理论中的可变加权综合原理应用于模糊推理,提出了一种新的模糊推理方法,称为VWSI(可变加权综合推理)方法。通过VWSI算法构建的模糊系统的响应能力分析表明,这种模糊系统具有对未知函数进行插值近似的特征。由常用模糊推理算法构建的模糊系统等效于由VWSI算法构建的某些特殊模糊系统。仿真实验表明了VWSI方法的优势。 (c)2006 Elsevier Ltd.保留所有权利。

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