Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm

Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm

We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on...

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Main Authors: Gunadi W. Nurcahyo, Siti Mariyam Shamsuddin, Rose Alinda Alias, Mohd Noor Md Sap
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2003-10-01
Series:Journal of Computer Science and Technology
Subjects:
sweep algorithm
public bus routing
route selection
fuzzy-based parameter
defuzzification
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/934
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spelling doaj-9326734ed1614cefad67ec0eb8f500f22021-05-05T14:31:34ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382003-10-013022228627Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithmGunadi W. Nurcahyo0Siti Mariyam Shamsuddin1Rose Alinda Alias2Mohd Noor Md Sap3Faculty of Computer Science, University of Putera Indonesia YPTK, Padang, West Sumatera 25221, IndonesiaFaculty of Computer Science and Information System, University of Technology Malaysia, Skudai, Johor Bahru 81310, MalaysiaFaculty of Computer Science and Information System, University of Technology Malaysia, Skudai, Johor Bahru 81310, MalaysiaFaculty of Computer Science and Information System, University of Technology Malaysia, Skudai, Johor Bahru 81310, MalaysiaWe present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.https://journal.info.unlp.edu.ar/JCST/article/view/934sweep algorithmpublic bus routingroute selectionfuzzy-based parameterdefuzzification
collection DOAJ
language English
format Article
sources DOAJ
author Gunadi W. Nurcahyo
Siti Mariyam Shamsuddin
Rose Alinda Alias
Mohd Noor Md Sap
spellingShingle Gunadi W. Nurcahyo
Siti Mariyam Shamsuddin
Rose Alinda Alias
Mohd Noor Md Sap
Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
Journal of Computer Science and Technology
sweep algorithm
public bus routing
route selection
fuzzy-based parameter
defuzzification
author_facet Gunadi W. Nurcahyo
Siti Mariyam Shamsuddin
Rose Alinda Alias
Mohd Noor Md Sap
author_sort Gunadi W. Nurcahyo
title Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_short Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_full Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_fullStr Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_full_unstemmed Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_sort selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
publisher Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
series Journal of Computer Science and Technology
issn 1666-6046
1666-6038
publishDate 2003-10-01
description We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.
topic sweep algorithm
public bus routing
route selection
fuzzy-based parameter
defuzzification
url https://journal.info.unlp.edu.ar/JCST/article/view/934
work_keys_str_mv AT gunadiwnurcahyo selectionofdefuzzificationmethodtoobtaincrispvalueforrepresentinguncertaindatainamodifiedsweepalgorithm
AT sitimariyamshamsuddin selectionofdefuzzificationmethodtoobtaincrispvalueforrepresentinguncertaindatainamodifiedsweepalgorithm
AT rosealindaalias selectionofdefuzzificationmethodtoobtaincrispvalueforrepresentinguncertaindatainamodifiedsweepalgorithm
AT mohdnoormdsap selectionofdefuzzificationmethodtoobtaincrispvalueforrepresentinguncertaindatainamodifiedsweepalgorithm
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