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In this paper, we applied an Interactive Fuzzy Goal Programming (IFGP)   approach with linear, exponential and hyperbolic membership functions, which   focuses on maximizing the minimum membership values to determine the   preferred compromise solution for the multi-response stratified surveys   problem, formulated as a Multi- Objective Non Linear Programming Problem   (MONLPP), and by linearizing the nonlinear objective functions at their   individual optimum solution, the problem is approximated to an Integer Linear   Programming Problem (ILPP). A numerical example based on real data is given,   and comparison with some existing allocations viz. Cochran’s compromise   allocation, Chatterjee’s compromise allocation and Khowaja’s compromise   allocation is made to demonstrate the utility of the approach

Interactive Fuzzy Goal Programming approach in multi-response stratified sample surveys