Multi-Objective Geometric Programming in Multiple-Response Stratified Sample Surveys with Quadratic Cost Function

Shafiullah

Authors

Shafiullah

multi-objective, geometric programming, multiple-response, fuzzy programming, primal-dual relationship

Abstract

In this paper, the problem of multiple-response in stratified sample surveys has been formulated as a multi- objective geometric programming problem (MOGPP). The fuzzy programming is described for solving the formulated MOGPP. The formulated MOGPP has been solved by Lingo software and the dual solution is obtained. Subsequently multiple-response are obtained. A numerical example is given to illustrate the procedure.

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How to Cite

Multi-Objective Geometric Programming in Multiple-Response Stratified Sample Surveys with Quadratic Cost Function. (2014). Global Journal of Science Frontier Research, 14(46), 31-49. https://journalofscience.org/index.php/GJSFR/article/view/

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Author Biography

Shafiullah

Shafiullah is a researcher affiliated with Aligarh Muslim University in Aligarh, India, specializing in statistics and operations research. His work focuses on advanced sampling methodologies, including multi-objective geometric programming in stratified sample surveys and double sampling techniques in the presence of non-response. With publications such as 'Multi-Objective Geometric Programming in Multiple-Response Stratified Sample Surveys with Quadratic Cost Function' and 'A New Fuzzy Multiobjective Geometric Programming in Double Sampling in Presence of Non-Response,' Shafiullah contributes to the optimization of survey design and cost efficiency. His research interests lie at the intersection of fuzzy logic, geometric programming, and survey sampling, aiming to improve the accuracy and practicality of statistical methods.

References

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