在区间值模糊推理的理论基础上，提出了基于区间值推理的模糊神经网络。
Based on the interval value fuzzy reasoning (IVFR), the fuzzy neural network is proposed.
将数值拟合技术引入到区间值模糊推理中，提出一种基于数值拟合的区间值模糊双向推理算法。
Based on the least square method, the technique of numerical fitting is merged into interval-valued fuzzy inference, and a new bidirectional fuzzy inference algorithm is put forward.
本文引入有序权聚类算子（OWA）到区间值模糊集合的相似度度量中，提出了一种改进的双向模糊推理算法。
The OWA operator is introduced to the measure of the interval - valued fuzzy sets, and an improved bidirectional approximate reasoning is proposed in this paper.
本文引入有序权聚类算子（OWA）到区间值模糊集合的相似度度量中，提出了一种改进的双向模糊推理算法。
The OWA operator is introduced to the measure of the interval - valued fuzzy sets, and an improved bidirectional approximate reasoning is proposed in this paper.
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