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

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

Article ID

3JOBU

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

Shafiullah Aligarh Muslim University, Aligarh

DOI

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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 with the help of dual solution of formulated MOGPP and the primal-dual relationship theorem the optimum allocations of multiple-response are obtained. A numerical example is given to illustrate the procedure.

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

Authors

Shafiullah Aligarh Muslim University, Aligarh

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How to Cite

Shafiullah. 2015. “. Global Journal of Science Frontier Research – F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F7): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

GJSFR Volume 14 Issue F7
Pg. 41- 59

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Submission Received October 26, 2014
Accepted November 21, 2014
Published December 4, 2014

Keywords

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

Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Shafiullah (PhD/Dr. count: 0)

View Count (all-time): 105

Total Views (Real + Logic): 4251

Total Downloads (simulated): 2302

Publish Date: 2015 01, Thu

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Total Views: 4251

Total Downloads: 2302

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