**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**31108

##### Learning Algorithms for Fuzzy Inference Systems Composed of Double- and Single-Input Rule Modules

**Authors:**
Hirofumi Miyajima,
Kazuya Kishida,
Noritaka Shigei,
Hiromi Miyajima

**Abstract:**

**Keywords:**
obstacle avoidance,
double-input rule module,
fuzzy inference model,
Box-Jenkins’s problem,
Single-input rule
module

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1112031

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[11] N. Shigei, H. Miyajima, and S. Nagamine, “A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule Modules,” Proc. of Int. Symp. on Neural Networks: Advances in Neural Networks - Part II, pp.118-126, 2009.

[12] S. Miike, H. Miyajima, N. Shigei, and K. Noo, “Fuzzy Reasoning Model with Deletion of Rules Consisting of Small-Number-of-Input Rule Modules,” Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, pp.621-629, 2010 (in Japanese).

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[14] H. Miyajima, N. Shigei, and H. Miyajima, “Some Properties on Fuzzy Inference Systems Composed of Small Number of Input Rule Modules,” Advances in Fuzzy Sets and Systems, Vol.20, pp.155-175, 2015.

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