Sensitivity

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.

Similarity

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.