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- Title
Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems.
- Authors
Raghav, Yashpal Singh; Haq, Ahteshamul; Ali, Irfan
- Abstract
This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population means with complete response and nonresponse for a fixed cost. Then, the compromise allocations for sample designs are determined by implementing intuitionistic fuzzy programming using optimistic and pessimistic solution strategies. A simulation study is carried out using the Stratify R software program to demonstrate the complete solution process. In wildlife, agricultural and marketing-related surveys, the study could be helpful. Also, the national planning policies related to surveys in such cases this study could be helpful. This study is an attempt to solve the sampling optimization problem using the Lingo-18 optimization program.
- Subjects
CENTRAL economic planning; OVERHEAD costs; AGRICULTURAL surveys; GOVERNMENT policy; MATHEMATICAL programming
- Publication
PLoS ONE, 2023, Vol 17, Issue 4, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0284784