ファジィモデルによるIoTセンサ情報への意味付け

大海 鉄平; 西野 順二

doi:10.14864/fss.34.0_348

34th Fuzzy System Symposium

Session ID : TA1-4

DOI https://doi.org/10.14864/fss.34.0_348

Conference information

Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

Name : 34th Fuzzy System Symposium

Number : 34

Location : [in Japanese]

Date : September 03, 2018 - September 05, 2018

proceeding

Fuzzy desctipitive model on IoT sensory system.

*Teppei Oomi, Junji NISHINO

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Keywords: Fuzzy Linguistic Model, IoT, Big Data

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

These days, we have many sensory data network with massive devices so called IoT. These data are too many and complicated. So usual IoT takes time to do tha calculation.Fuzzy logic can calculate many and complex data fastly.In this paper we propose fuzzy modeling to recognize such a massive data heap.

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