Online rescheduling of mass rapid transit systems: Fuzzy expert system approach

IEE Proceedings: Electric Power Applications

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Main Authors: Chang, C.S., Thia, B.S.
Other Authors: ELECTRICAL ENGINEERING
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/80891
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-808912015-01-08T04:02:43Z Online rescheduling of mass rapid transit systems: Fuzzy expert system approach Chang, C.S. Thia, B.S. ELECTRICAL ENGINEERING Fuzzy control Fuzzy expert system Rapid transit systems IEE Proceedings: Electric Power Applications 143 4 307-314 IEPAE 2014-10-07T03:02:26Z 2014-10-07T03:02:26Z 1996 Article Chang, C.S.,Thia, B.S. (1996). Online rescheduling of mass rapid transit systems: Fuzzy expert system approach. IEE Proceedings: Electric Power Applications 143 (4) : 307-314. ScholarBank@NUS Repository. 13502352 http://scholarbank.nus.edu.sg/handle/10635/80891 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Fuzzy control
Fuzzy expert system
Rapid transit systems
spellingShingle Fuzzy control
Fuzzy expert system
Rapid transit systems
Chang, C.S.
Thia, B.S.
Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
description IEE Proceedings: Electric Power Applications
author2 ELECTRICAL ENGINEERING
author_facet ELECTRICAL ENGINEERING
Chang, C.S.
Thia, B.S.
format Article
author Chang, C.S.
Thia, B.S.
author_sort Chang, C.S.
title Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
title_short Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
title_full Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
title_fullStr Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
title_full_unstemmed Online rescheduling of mass rapid transit systems: Fuzzy expert system approach
title_sort online rescheduling of mass rapid transit systems: fuzzy expert system approach
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/80891
_version_ 1681088971470274560