Articulo
Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
Registro en:
issn:1666-6038
Autor
Nurcahyo, Gunadi W.
Shamsuddin, Siti Mariyam
Alias, Rose Alinda
Noor Md Sap, Mohd
Institución
Resumen
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