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Fuzzy Geometric Programming Approach in Multivariate Stratified Sample Surveys Under Two Stage Randomized Response Model

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Journal of Mathematical Modelling and Algorithms in Operations Research

Abstract

This paper provide a profound study on optimum allocation of two stage multivariate stratified Warner’s randomized response (RR) model with linear and non linear cost function. The multi-objective problem is formulated as a Geometric Programming Problem (GPP). The fuzzy programming approach is adopted to solve the formulated problem. A numerical example is given to illustrate the computational details of the suggested method.

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Authors and Affiliations

  1. Department of Statistics & Operations Research, Aligarh Muslim University, Aligarh, India

    Shafi Ullah, Irfan Ali & Abdul Bari

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  1. Shafi Ullah
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  2. Irfan Ali
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  3. Abdul Bari
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Correspondence to Irfan Ali.

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Ullah, S., Ali, I. & Bari, A. Fuzzy Geometric Programming Approach in Multivariate Stratified Sample Surveys Under Two Stage Randomized Response Model. J Math Model Algor 14, 407–424 (2015). https://doi.org/10.1007/s10852-015-9276-1

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  • DOI: https://doi.org/10.1007/s10852-015-9276-1

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