Some aggregation operators of parameterized single-valued neutrosophic numbers and their MADM approach in simplified neutrosophic indeterminate scenarios

Sumin Zhang, Mei-Ling Zhao, Jun Ye
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Abstract

Simplified neutrosophic indeterminate sets/numbers (SNISs/SNINs) can conveniently express the partially determinate and partially indeterminate information of truth, falsity, indeterminacy membership degrees, which shows its main merit. Then, the existing aggregation algorithms of SNINs lack a parameterized aggregation method to reach a flexible decision-making method subject to different decision risks. Therefore, this study proposed a MADM approach using some aggregation operators of parameterized single-valued neutrosophic numbers in a simplified neutrosophic indeterminate scenario. First, we presented a conversion technique from SNINs to parameterized single-valued neutrosophic numbers (PSVNNs) by an indeterminate parameter. Second, we proposed the score function of PSVNN and the parameterized single-valued neutrosophic weighted arithmetic averaging (PSVNWAA) and parameterized single-valued neutrosophic weighted geometric averaging (PSVNWGA) operators. Third, a multiple attribute decision-making (MADM) approach with the smaller, moderate and larger decision risks is developed by the PSVNWAA or PSVNWGA operator in a SNIS setting. Forth, the developed MADM approach is applied to the choice problem of clinical physicians as a numerical example. Generally, the developed MADM approach reveals the advantage of flexible decision making subject to the smaller, moderate, and larger decision risks of decision makers in a neutrosophic indeterminate scenario. However, this study reveals the main contributions in the aggregation algorithms of PSVNNs and flexible MADM approach in a SNIS setting.
简化中性粒细胞不确定情况下参数化单值中性粒细胞数的一些聚集算子及其MADM方法
简化中性不确定集/数(SNISs/SNINs)可以方便地表达真、假、不确定隶属度的部分确定和部分不确定信息,这是它的主要优点。其次,现有的SNINs聚合算法缺乏参数化的聚合方法,无法在不同的决策风险下获得灵活的决策方法。因此,本研究提出了一种基于参数化单值嗜中性粒细胞数聚合算子的MADM方法,用于简化嗜中性粒细胞不确定场景。首先,我们提出了一种通过不确定参数从SNINs转换为参数化单值嗜中性粒细胞数(psvnn)的技术。其次,我们提出了PSVNN的评分函数以及参数化单值中性粒细胞加权算术平均(PSVNWAA)和参数化单值中性粒细胞加权几何平均(PSVNWGA)算子。第三,在SNIS环境下,由PSVNWAA或PSVNWGA运营商开发了具有较小、中等和较大决策风险的多属性决策(MADM)方法。第四,将所建立的MADM方法应用于临床医生的选择问题。总的来说,所开发的MADM方法揭示了在中性不确定情景下决策者的决策风险较小、中等和较大的情况下,灵活决策的优势。然而,本研究揭示了在SNIS环境下psvnn聚合算法和灵活MADM方法的主要贡献。
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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