Novel hybrid soft set theories focusing on decision-makers by considering the factors affecting the parameters

O. Dalkılıç, N. Demirtaş
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Abstract

ABSTRACTIn this paper, the parameterisation tool of soft set theory is focused and factor sets are defined for all factors that can affect each parameter. Thus, more ideal results are aimed by determining the membership values of the parameters in uncertain environments. In addition, some new hybrid types of soft sets have been defined. The most important advantage of these new hybrid mathematical tools is that they can reduce the possible error margin of decision-makers. Moreover, a decision-making algorithm has been proposed for the set type that can bring us to the most comprehensive data on uncertainty. Finally, the solution to an uncertainty problem is obtained by using the given algorithm.KEYWORDS: Soft setfuzzy soft setuncertainty problemsalgorithmdecision making AcknowledgementsThe authors would like to thank to Mersin University-BAP.Disclosure statementThis article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the paper, including their legal guardians.Additional informationFundingThis study is supported by Mersin University as scientific research project (BAP) with the project code 2022-2-TP3-4769.
新的混合软集理论通过考虑影响参数的因素来关注决策者
摘要本文重点介绍了软集理论的参数化工具,定义了影响各参数的所有因素的因子集。因此,在不确定环境下,通过确定参数的隶属度值,可以得到更理想的结果。此外,还定义了一些新的混合软集类型。这些新的混合数学工具最重要的优点是它们可以减少决策者可能的误差范围。此外,本文还提出了一种针对集合类型的决策算法,使我们能够获得最全面的不确定性数据。最后,利用该算法求解了一个不确定性问题。关键词:软设置模糊软设置确定性问题算法决策致谢感谢Mersin University-BAP声明:本文不包含任何作者对人类或动物进行的任何研究。获得了本文中所有参与者的知情同意,包括他们的法定监护人。本研究由美国梅尔辛大学作为科研项目(BAP)支持,项目代码为2022-2-TP3-4769。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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