analysis is a technique used to determine how different values of an independent
variable could impact a particular dependent variable under a given set of
assumptions. These techniques can be used in specific boundaries that depend on
one or more input variables. Sensitivity analysis works on the simple principle
which is ‘change the model and observe’. It is referred to as what-if or
simulation analysis, which it is a way to predict the outcome of a decision
given a certain range of variables. Sensitivity analysis could be used to help
in decision making, functions as the aids searching for errors in the model and
also is a method for predicting the outcome of a decision if a situation turns
out to be different compared to the key predictions. This conclude that,
sensitivity analysis is one of the tools that help decision makers with more
than a solution to a problem and provides an appropriate insight into the
problems associated with the model under reference.
measure is a real-valued function that quantifies the similarity between two
objects. The concept of similarity is fundamentally important in almost every
scientific field. Similarity measure can be described as a function which
computes the degree of similarity between two compared objects. Various
similarity measures techniques have been proposed by many researchers to
calculate the degree of similarity between fuzzy numbers. All of these
techniques are implement due to numerous factors that affect the similarity
degree of fuzzy numbers such as overlapping midpoint, perimeters, and areas.
Even though there are various techniques had been establish to measure the
degree of similarity between fuzzy numbers, but the limitations for the
existing fuzzy similarity measures are still exist. It is because, those techniques only can
solve similarity problems based on certain selected situation.
This study aimed
to investigate fuzzy similarity measure by using the sensitivity analysis
method. There are various methods to carry out the sensitivity analysis. In
this research will discuss about the similarity measures that compare more than
two sets of fuzzy models. This research will investigate a system that could be
use to compare more than two fuzzy numbers using selected fuzzy similarity
measures which is based on sensitivity analysis method.