SELECTION OF DEFUZZIFICATION METHOD TO OBTAIN CRISP VALUES FOR REPRESENTING UNCERTAIN DATA IN A MODIFIED SWEEP ALGORITHM
ABSTRACT: A study of using
fuzzy-based parameters for solving public bus routing problem with uncertain demand is
presented. 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 user’s
preference. Fuzzy inference rules are assigned to relate the fuzzy parameters
to the crisp values which are concerned in the route selection process. 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.
Author: Gunadi W. Nurcahyo
Journal Code: jptlisetrogg130003
