可持续物流流程的新方法与 q-rung orthopair 模糊软信息聚合信息
Muhammad Riaz1, Hafiz Muhammad Athar Farid1, Ayesha Razzaq1
1Department of Mathematics, University of the Punjab, Lahore, Punjab, Pakistan.
PeerJ. Computer science
|September 14, 2023
概括
本研究介绍了q-rung orthopair fuzzy soft sets (q-ROFSS) 的新型聚合运营商,以改善可持续物流中的决策. 这些新方法提高了在不确定性下对可持续物流提供商的评估.
科学领域:
- 运营研究 运营研究
- 信息科学 信息科学 信息科学
- 人工智能的人工智能
背景情况:
- 越来越多的公司专注于可持续性和环境保护.
- 可持续性营销在物流流程中的重要性越来越大.
- 需要先进的分析工具来处理可持续物流中的不确定性.
研究的目的:
- 引入新的聚合运算符:q-rung整形模糊软优先权加权平均 (q-ROFSPWA) 和q-rung整形模糊软优先权加权几何 (q-ROFSPWG).
- 解决现有运营商在决策过程中融合不确定的信息方面的局限性.
- 加强对可持续物流提供商绩效的分析.
主要方法:
- 基于q-ROFSS的新型Q-Rung整形器官模糊软集 (q-ROFSS) 的聚合运算符的开发.
- 应用q-ROFSS,一个混合模型,结合q-rung orthopair模糊集和软集,用于不确定的信息.
- 利用拟议的运营商在物流中的多属性决策.
主要成果:
- 拟议的 q-ROFSPWA 和 q-ROFSPWG 运营商有效地融合了 q-rung orthopair 模糊软数字.
- 与现有方法相比,表现出更高的分辨能力和较低的噪声敏感性.
- 成功应用于评估可持续物流提供商的业绩.
结论:
- 新的聚合运营商为可持续物流中不确定的决策提供了强大的工具.
- q-ROFSS提供了一个强大的框架,用于处理复杂环境中的通用会员级别.
- 该研究通过提高分析能力,有助于推进可持续物流实践.
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