Applying Uncertainty Theory to have more demand predictions of a new LRT transportation system designed by Utsunomiya city (II)

影山 正幸; 岩村 覚三; 渡辺 俊一

doi:10.14864/fss.34.0_764

34th Fuzzy System Symposium

Session ID : WF1-4

DOI https://doi.org/10.14864/fss.34.0_764

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

Applying Uncertainty Theory to have more demand predictions of a new LRT transportation system designed by Utsunomiya city (II)

*Masayuki KAGEYAMA, Kakuzo IWAMURA, Toshikazu WATANABE

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Keywords: Uncertainty theory, fuzzy, LRT

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This short note introduces essence of Uncertainty Theory and apply it to have more demand predictions of a new LRT transportation system designed by Utsunomiya city.

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