In stratified random sampling, Ahsan et al. [Mixed allocation in stratified sampling. Aligarh J Stat. 2005;25:87–97] introduced the concept of ‘Mixed allocation’ for fixed cost by minimizing the variance of the stratified sample mean which was based on the work of Clark and Steel [Optimum allocation of sample to strata and stages with simple additional constraints. Statistician. 2000;49(2):197–207] for two-stage univariate sampling design. The present manuscript studies the problem of obtaining a ‘compromise mixed allocation’ in multivariate stratified sampling using Fuzzy Programming Technique. To exhibit the application of the defined approach, a numerical illustration is considered and solved using Lingo 13.0. In order to demonstrate the superiority of proposed approach, the obtained results have been compared with four other existing approaches.

在分层随机抽样中，Ahsan等人。[分层抽样中的混合分配。Aligarh J Stat。2005; 25：87–97]通过最小化分层样本均值的方差，引入了固定成本的“混合分配”概念，该概念基于Clark和Steel的工作[通过简单的附加操作，将样本最佳分配给层次和阶段约束。统计员。2000; 49（2）：197–207]用于两阶段单变量抽样设计。本手稿研究了使用模糊规划技术在多元分层抽样中获得“折衷混合分配”的问题。为了展示所定义方法的应用，使用Lingo 13.0考虑并解决了一个数值说明。为了证明所建议方法的优越性，