通过双极的毕达哥拉斯模糊方法解决决策问题:一种新的方法应用于数字营销
Vishalakshi Kuppusamy1,2, Maragathavalli Shanmugasundaram1, Prasantha Bharathi Dhandapani3
1Department of Mathematics, Government Arts College, Udumalpet, Tamil Nadu, India.
Heliyon
|December 13, 2024
概括
这项研究通过将双极性纳入模糊理论来引入数字营销决策的新方法. 它增强了不确定性表示,以便制定更明智的业务战略.
科学领域:
- 决策科学 决策科学
- 人工智能的人工智能
- 营销 营销 分析 分析
背景情况:
- 在现实世界中,决策往往受到不确定性的阻碍.
- 模糊理论为表示和管理不确定性提供了一个框架.
- 现有的多标准决策 (MCDM) 方法可能无法完全捕捉复杂数据的细微差别.
研究的目的:
- 为数字营销决策提出一种新的方法,包括双极性.
- 通过考虑正面和负面数据维度来增强MCDM中不确定性表示.
- 通过计算实验来确定最有效的数字营销策略.
主要方法:
- 制定决策方法,将双极性纳入多标准决策 (MCDM) 过程.
- 双极模糊理论在毕达哥拉斯模糊矩阵中的应用.
- 计算实验用于评估数字营销平台上的战略有效性.
主要成果:
- 拟议的方法有效地将双极性纳入毕达哥拉斯模糊矩阵,扩展双极模糊理论.
- 计算实验确定了数字营销平台的最佳策略.
- 该方法在处理不确定性方面比现有技术具有优势.
结论:
- 综合双极模糊方法为改善在数字营销中不确定性下决策提供了强大的框架.
- 这项研究为寻求完善数字营销策略的企业提供了宝贵的见解.
- 这项研究强调了双极模糊理论在实际商业应用中的潜力.
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