An industrial disaster emergency decision-making based on China’s Tianjin city port explosion under complex probabilistic hesitant fuzzy soft environment

Ashraf, Shahzaib; Garg, Harish; Kousar, Muneeba

doi:10.1016/j.engappai.2023.106400

Cited by 10 publications

(1 citation statement)

References 48 publications

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“…Their development process involves multiple factors, and once they occur, they have high destructive power and may lead to secondary disasters. Therefore, selecting the optimal decision plan timely and effectively to reduce the negative impacts of emergencies has become a focus and challenge of research (Cao et al 2022;Zhu et al 2023;Ashraf et al 2023;Wang and Yu 2023;Qin et al 2024). In addition, after the outbreak of an emergency, it is essential for DMs to make scientific response to prevent the incident from getting worse.…”

Section: Introductionmentioning

confidence: 99%

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

Liu,

Wang,

Jia

2024

Preprint

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The probabilistic linguistic term sets (PLTSs), as a form of fuzzy language, is capable of effectively expressing the evaluation information of decision-makers (DMs) in emergency decision-making (EDM). In response to the uncertainty of decision-making information and the non-complete rationality of DMs in EDM, a method for EDM based on PLTSs and regret theory has been developed. Firstly, a novel distance measure model based on the Euclidean distance, Jensen-Shannon (JS) divergence, and Jousselme distance is established for the PLTSs. Secondly, the expert weight is calculated based on both the degree of trust in the expert and the degree of similarity in viewpoints. In the process of consensus reaching, a feedback adjustment coefficient is introduced to reasonably retain the original evaluation information provided by experts. Then, a combined weighting model is established based on both objective attribute weight and subjective attribute weight in order to solve the comprehensive attribute weight. It is important to consider that DMs are often not entirely rational; therefore, an EDM method is constructed using PLTSs and regret theory to prioritize alternatives. Finally, the effectiveness and feasibility of the proposed method are validated through the selection of a transportation scheme for earthquake relief materials.

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Section: Introductionmentioning

confidence: 99%

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

Liu,

Wang,

Jia

2024

Preprint

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A systematic literature review of soft set theory

Alcantud,

Khameneh,

Santos-García

et al. 2024

Neural Comput & Applic

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Soft set theory, initially introduced through the seminal article “Soft set theory—First results” in 1999, has gained considerable attention in the field of mathematical modeling and decision-making. Despite its growing prominence, a comprehensive survey of soft set theory, encompassing its foundational concepts, developments, and applications, is notably absent in the existing literature. We aim to bridge this gap. This survey delves into the basic elements of the theory, including the notion of a soft set, the operations on soft sets, and their semantic interpretations. It describes various generalizations and modifications of soft set theory, such as N-soft sets, fuzzy soft sets, and bipolar soft sets, highlighting their specific characteristics. Furthermore, this work outlines the fundamentals of various extensions of mathematical structures from the perspective of soft set theory. Particularly, we present basic results of soft topology and other algebraic structures such as soft algebras and $$\sigma$$ σ -algebras. This article examines a selection of notable applications of soft set theory in different fields, including medicine and economics, underscoring its versatile nature. The survey concludes with a discussion on the challenges and future directions in soft set theory, emphasizing the need for further research to enhance its theoretical foundations and broaden its practical applications. Overall, this survey of soft set theory serves as a valuable resource for practitioners, researchers, and students interested in understanding and utilizing this flexible mathematical framework for tackling uncertainty in decision-making processes.

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Optimizing healthcare workforce for effective patient care: a cooperative game theory approach

Liu,

Wu,

Innab

et al. 2024

Ann Oper Res

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An industrial disaster emergency decision-making based on China’s Tianjin city port explosion under complex probabilistic hesitant fuzzy soft environment

Cited by 10 publications

References 48 publications

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

A systematic literature review of soft set theory

Optimizing healthcare workforce for effective patient care: a cooperative game theory approach

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