Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0284784
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0284784
- OA Status
- gold
- Cited By
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- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4366602292Canonical identifier for this work in OpenAlex
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https://doi.org/10.1371/journal.pone.0284784Digital Object Identifier
- Title
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Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problemsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-04-21Full publication date if available
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Yashpal Singh Raghav, Ahteshamul Haq, Irfan AliList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0284784Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1371/journal.pone.0284784Direct OA link when available
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Multivariate statistics, Pessimism, Stratified sampling, Sample (material), Multivariate analysis, Computer science, Mathematics, Mathematical optimization, Statistics, Chemistry, Philosophy, Epistemology, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2025: 4, 2024: 2Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W22913383, https://openalex.org/W1987484638, https://openalex.org/W2012254817, https://openalex.org/W2070971680, https://openalex.org/W2007733670, https://openalex.org/W2149673945, https://openalex.org/W2135236033, https://openalex.org/W2946352221, https://openalex.org/W2077919628, https://openalex.org/W2119138046, https://openalex.org/W3039070820, https://openalex.org/W2063300142, https://openalex.org/W2616869356, https://openalex.org/W2058856328, https://openalex.org/W1993554043, https://openalex.org/W3010617917, https://openalex.org/W1718974771, https://openalex.org/W57308330, https://openalex.org/W2052189908, https://openalex.org/W1996186390, https://openalex.org/W2061102061, https://openalex.org/W2020733285, https://openalex.org/W1965728833, https://openalex.org/W2078044235, https://openalex.org/W1985217707, https://openalex.org/W1441298558, https://openalex.org/W4294691574, https://openalex.org/W4282969873, https://openalex.org/W3044692478, https://openalex.org/W2942951823, https://openalex.org/W2913181341, https://openalex.org/W3166815773, https://openalex.org/W2014068360 |
| referenced_works_count | 33 |
| abstract_inverted_index.A | 62 |
| abstract_inverted_index.R | 71 |
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| corresponding_author_ids | https://openalex.org/A5005535216, https://openalex.org/A5052535072, https://openalex.org/A5050935519 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I171210897, https://openalex.org/I91450128 |
| citation_normalized_percentile.value | 0.8501696 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |