使用四方中性聚合算子的 QNN-MAGDM 电子商务选址策略

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rama Mallick, Surapati Pramanik, B. Giri
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引用次数: 0

摘要

本文定义了用于解决多属性群体决策(MAGDM)问题的四方中性加权中性聚合(QNWNA)算子和四方中性有序加权中性聚合(QNOWNA)算子。本文深入讨论了这两种算子的基本特性。利用这两种算子开发了一种新的多属性群体决策(MAGDM)策略。讨论了印度电子商务选址的案例研究,以说明所提出的 MADM 策略的适用性。此外,还将 QNWNA 和 QNOWNA 算子的性能与四方中值加权算术聚合(QNWAA)算子、四方中值加权几何聚合(QNWGA)算子、四方单值中值多比加权算术聚合(QSVNDWAA)算子和 QSVN 多比加权几何聚合(QSVNDWAA)算子进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QNN-MAGDM strategy for E-commerce site selection using quadripartition neutrosophic neutrality aggregative operators
In this paper, we define the Quadripartition Neutrosophic Weighted Neutrality Aggregative (QNWNA) operator and Quadripartition Neutrosophic Ordered Weighted Neutrality Aggregative (QNOWNA) operator for solving Multi-Attribute Group Decision Making (MAGDM) problems. The basic properties of both operators are discussed thoroughly. A new MAGDM strategy is developed using these developed operators. A case study of e-commerce site selection in India is discussed to show the applicability of the proposed MADM strategy. Moreover, the performance of the QNWNA and QNOWNA operators are compared with Quadripartition Neutrosophic Weighted Arithmetic Aggregation (QNWAA) operator and Quadripartition Neutrosophic Weighted Geometric Aggregation (QNWGA), Quadripartition Single valued Neutrosophic Dombi Weighted Arithmetic Aggregation (QSVNDWAA) and QSVN Dombi Weighted Geometric Aggregation (QSVNDWAA) operator.
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CiteScore
2.10
自引率
0.00%
发文量
22
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