Identification and Review of Sensitivity Analysis Using Fuzzy ARAS Method

Abstract

It is a way to predict a given outcome variables. Others variables that determine how sensitive variables are affected are the target based on changes in the financial model. Analysis is based on so-called input variables. 'Sensitivity analysis is it is a comparison of the sales results of advertisements to see How can uncertainty in model input be shared by different sources of uncertainty in model output. That differ only in the presence or absence of certain information included. Defined as sensitivity analysis (SA). "A method of determining the strength of an estimate by examining the extent to which results are affected by methods, models, values of unmeasured variables or assumptions with the aim of identifying the results". Alternative values for the first and last value of these values are determined using the ARAS method of bias sensitivity analysis of suspicious or helpless individuals basically how the target variables affect the deterministic financial model. By changes in other variables called input variables. Sensitivity analysis using Fuzzy ARAS method is a method of predicting the outcome if a scenario is different compared to the main prediction. It helps in assessing the risk of a strategy. It helps to find out how much the output depends on a particular input value. According to pollution level the unreliable camera (A1) is in 1st rank, camera (A2) is on 3rd rank, camera (A3) is on 2nd rank. As a result, unreliability review A1 camera is ranked first, where batch arrival review A3 camera is ranked lowest.