Compromise optimum allocation in neutrosophic multi-character survey under stratified random sampling using neutrosophic fuzzy programming

Survey sampling has wide range of applications in social and scientific investigation to draw inference about the unknown parameter of interest. In complex surveys, the sample information about the study variable cannot be expressed by a precise number under uncertain environment due fuzziness and i...

詳細記述

書誌詳細

出版年:	Heliyon
主要な著者:	Atta Ullah, Javid Shabbir, Abdullah Mohammed Alomair, Fawaz Khaled Alarfaj
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-04-01
主題:	Neutrosophic statistics Stratified sampling Cost function Optimum allocation Intuitionistic fuzzy programming Neutrosophic fuzzy programming
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405844024043585