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Enhancing experimental efficiency in uncertain data: A comparative analysis of neutrosophic and classical latin square designs

This research investigates the relative efficiency between Neutrosophic Latin Square Design (NLSD) and Classical Latin Square Design (CLSD), with a particular focus on their use in situations where data is uncertain and ambiguous. Although CLSD is a classic experiment designed for systematic error c...

詳細記述

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書誌詳細
主要な著者: Srishti Kumari, Azarudheen Shahabudheen
フォーマット: Artigo
言語:Inglês
出版事項: Ayandegan Institute of Higher Education, 2025-06-01
シリーズ:International Journal of Research in Industrial Engineering
主題:
オンライン・アクセス:https://www.riejournal.com/article_219919_0b5b7759ab576b509f9aacbe6e819ec4.pdf
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