Disaster decision-making with a mixing regret philosophy DDAS method in Fermatean fuzzy number

IF 1.8 3区 数学 Q1 MATHEMATICS AIMS Mathematics Pub Date : 2023-01-01 DOI:10.3934/math.2023192
A. Fahmi, Rehan Ahmed, M. Aslam, T. Abdeljawad, Aziz Khan
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引用次数: 1

Abstract

In this paper, the use of the Fermatean fuzzy number (FFN) in a significant research problem of disaster decision-making by defining operational laws and score function is demonstrated. Generally, decision control authorities need to brand suitable and sensible disaster decisions in the direct conceivable period as unfitting decisions may consequence in enormous financial dead and thoughtful communal costs. To certify that a disaster comeback can be made, professionally, we propose a new disaster decision-making (DDM) technique by the Fermatean fuzzy Schweizer-Sklar environment. First, the Fermatean fuzzy Schweizer-Sklar operators are employed by decision-makers to rapidly analyze their indefinite and vague assessment information on disaster choices. Then, the DDM technique based on the FFN is planned to identify highly devastating disaster choices and the best available choices. Finally, the proposed regret philosophy DDM technique is shown functional to choose the ideal retort explanation for a communal fitness disaster in Pakistan. The dominance and realism of the intended technique are further defensible through a relative study with additional DDM systems.
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fermatan模糊数中混合后悔哲学DDAS方法的灾难决策
本文通过定义运行规律和分数函数,证明了Fermatean模糊数(FFN)在一个重大的灾害决策研究问题中的应用。一般来说,决策控制当局需要在直接可想象的时期内制定合适和明智的灾难决策,因为不合适的决策可能导致巨大的财务死亡和深思熟虑的公共成本。为了证明灾难能够卷土重来,我们在专业上提出了一种新的基于fermatan模糊Schweizer-Sklar环境的灾难决策(DDM)技术。首先,决策者利用Fermatean模糊Schweizer-Sklar算子对其不确定和模糊的灾害选择评估信息进行快速分析。然后,计划基于FFN的DDM技术来识别高破坏性灾害选择和最佳可用选择。最后,本文提出的后悔哲学DDM技术在选择巴基斯坦公共健身灾难的理想反驳解释方面具有一定的功能。通过对附加DDM系统的相关研究,可以进一步证明预期技术的主导地位和现实性。
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来源期刊
AIMS Mathematics
AIMS Mathematics Mathematics-General Mathematics
CiteScore
3.40
自引率
13.60%
发文量
769
审稿时长
90 days
期刊介绍: AIMS Mathematics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in all fields of mathematics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports.
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