An optimization model using soft computing with the randomised response technique

Abstract

We explore a randomized response model in a two stage stratified random sampling model and try to minimize the variance while taking costs into consideration using the existing optimization model as a guide. Applying the alpha-cut method’s optimal allocation strategy at the specified alpha value solves the problem. Additionally provided as support for the current study are numerical examples.