间隔估值直觉模糊软粗近似运算符及其在决策问题中的应用
Anjan Mukherjee1, Abhik Mukherjee2
1Department of Mathematics, Tripura University, Suryamaninagar, Agartala, 799022 India.
概括
本研究介绍了区间值直观模糊软粗略集 (IVIFS粗略集),这是一种用于处理经济学和医学等领域不确定的数据的新型数学工具. 它探讨了它们的特性和在决策问题中的应用.
科学领域:
- 决策科学 决策科学
- 计算机科学 计算机科学
- 数学 数学 是一个数学.
背景情况:
- 经典的数学方法与现实世界的不确定的数据作斗争.
- 模糊集,粗略集和软集是现有的不确定性理论,每个都有局限性.
- 直觉模糊粗略集 (IFrough集) 曾被提议用于模拟不确定性.
研究的目的:
- 介绍了区间值直观模糊软粗略集 (IVIFS粗略集) 的新概念.
- 为了研究IVIFS粗略近似运算符的属性.
- 探索IVIFS粗集的基本操作和属性.
主要方法:
- 开发了区间值直观的模糊软粗略设置框架.
- 对关联的近似运算符的属性进行分析.
- 检查基本集运算及其特征.
主要成果:
- 这篇论文定义了IVIFS粗略集及其近似运算符.
- 研究并确定了这些运营商的关键特性.
- 研究了IVIFS粗略集模型中的基本运算及其行为.
结论:
- 拟议的IVIFS粗略集为不确定性提供了一个新的数学工具.
- 该研究为IVIFS粗略集及其应用提供了理论基础.
- 在决策问题上的实用性突出显示了这个新框架的实际意义.
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