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

Nurcahyo, Gunadi W. et al · SEDICI UNLP · 2003

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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. Facultad de Informática

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APA 7

Nurcahyo, G. W. E. A. (2003). Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm. http://sedici.unlp.edu.ar/handle/10915/9463

MLA

Nurcahyo, Gunadi W. et al. "Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm." 2003. http://sedici.unlp.edu.ar/handle/10915/9463.

Chicago

Nurcahyo, Gunadi W. et al. 2003. "Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm.". http://sedici.unlp.edu.ar/handle/10915/9463.

Harvard

Nurcahyo, G. W. E. A. 2003, Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9463 [Accessed 7 Aug. 2026].

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Title
Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
Author / contributors
Nurcahyo, Gunadi W. et al
Publisher
SEDICI UNLP
Publication year
2003
Language
English

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