聚合运营商对基于组的通用化q-rung整形器官模糊N-软套件和太阳能电池板评估中的应用进行集成运营商
Muhammad Saeed Raja1, Khizar Hayat1, Adeeba Munshi1
1Department of Mathematics, University of Kotli, Azad Jammu and Kashmir, 11100, Pakistan.
Heliyon
|April 2, 2024
概括
本研究介绍了基于组的通用化q-rung整形夫妇模糊的N-软集 (GGq-ROFNSSs) 进行复杂的决策. 一种新的方法有效地选择使用这些先进的模糊集的太阳能电池板.
科学领域:
- 决策科学 决策科学
- 模糊的集合理论 模糊的集合理论
- 信息系统信息系统信息系统
背景情况:
- 有效的决策依赖于精确的信息建模.
- 处理复杂的,多标准的问题需要先进的数学工具.
- 现有的模型可能无法充分捕捉非二进制和模糊数据的细微差别.
研究的目的:
- 引入和定义基于组的泛化q-rung整形对模糊的N-软集 (GGq-ROFNSSs).
- 探索GGq-ROFNSS的基本特性,包括包含和补充操作.
- 开发和应用使用GGq-ROFNSS的多重标准决策 (MCDM) 方法论,用于诸如太阳能电池板选择等实际问题.
主要方法:
- 开发 GGq-ROFNSS 集成 N-soft 集和 q-rung orthopair 模糊值.
- 介绍GGq-ROFNSWA和GGq-ROFNSWG聚合运算符,并分析它们的属性 (无能性,单调性,局限性).
- 基于拟议的运算符的MCDM方法的制定,通过流程图可视化.
主要成果:
- GGq-ROFNSS模型有效地处理跨多个标准,替代品和子替代品的同时信息.
- 定义的属性和聚合运算符为模糊的决策提供了一个强大的框架.
- 通过太阳能电池板选择案例研究提出并验证了一种实际的MCDM方法.
结论:
- GGq-ROFNSS提供了一个强大的框架,用于用非二进制和模糊数据建模复杂的决策场景.
- 拟议的MCDM方法论显示出优越的性能和优势,相对于现有技术.
- 该研究为在复杂的多属性环境中选择最佳解决方案提供了宝贵的工具.
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