Resumen de Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
Gunadi W. Nurcahyo, Siti Mariyam Shamsuddin, Rose Alinda Alias, Mohd Noor Md Sap
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.
