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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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2003-10-01
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Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/934 |
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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 |
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1721460043073716224 |