Comparison of Modified Extended Lexicographic Technique with Fuzzy and Value Function Techniques Using the Auxiliary Information as Attributes
Saima Khan, Yousaf Shad Muhammad, Javid Shabbir

Abstract
In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary information is in the form of an auxiliary attributes. A comparative study is carried out to find the best compromise allocation by the numerical example.

Full Text: PDF