An approach to evaluation of emergency plans for unconventional emergency events based on soft fuzzy rough set

Sun, Baiqing; Ma, Weimin

doi:10.1108/k-03-2014-0055

Cited by 25 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…h by using equation (14). By aggregating the subgroup linguistic evaluation vectors of all alternatives based on equation (15), the group linguistic evaluation matrix 􏽢 Z � [􏽢 z ij ] 3×4 is obtained as shown in Table 4. Phase 3: rank the alternatives using the QUALIFLEX method By equation ( 16), there are 6 (�3!)…”

Section: Decision Process and Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

Ding

Zhu

et al. 2020

Scientific Programming

View full text Add to dashboard Cite

After an unconventional emergency event occurs, a reasonable and effective emergency decision should be made within a short time period. In the emergency decision making process, decision makers’ opinions are often uncertain and imprecise, and determining the optimal solution to respond to an emergency event is a complex group decision making problem. In this study, a novel large group emergency decision making method, called the linguistic Z-QUALIFLEX method, is developed by extending the QUALIFLEX method using linguistic Z-numbers. The evaluations of decision makers on the alternative solutions are first expressed as linguistic Z-numbers, and the group decision matrix is then constructed by aggregating the evaluations of all subgroups. The QUALIFLEX method is used to rank the alternative solutions for the unconventional emergency event. Besides, a real-life example of emergency decision making is presented, and a comparison with existing methods is performed to validate the effectiveness and practicability of the proposed method. The results show that the proposed linguistic Z-QUALIFLEX can accurately express the evaluations of the decision makers and obtain a more reasonable ranking result of solutions for emergency decision making.

show abstract

Section: Decision Process and Resultsmentioning

confidence: 99%

“…erefore, the emergency decision making problem has gained increasing attention from both scholars and practitioners over recent years [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

Ding

Zhu

et al. 2020

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…Finally, the COVID-19 event validates the scientificity and feasibility of the assessment model, but the BP neural network is more suitable for model solving with multiobjective input. Aiming at problems such as insufficient risk identification, incomplete and inaccurate data, and decision maker has different preferences, Bing and Weimin [43] combined soft set theory with classical fuzzy rough set theory to establish a new emergency plan evaluation model, but this model also tends to be evaluated before emergencies.…”

Section: Research Methodologiesmentioning

confidence: 99%

Research on the Supply Chain Performance Evaluation Mechanism Based on Emergencies

Ran

2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Some emergencies have produced enormous changes in market demand in recent years as the economy has progressed. The supply chain’s capacity to adapt to this market demand has a substantial impact on the company’s future growth. As the frequency of emergencies rises, emergency management is becoming increasingly critical for enterprises. This article examines the responsiveness and profit status of the supply chain under the three conditions of total complete information symmetry, incomplete information symmetry, and information asymmetry based on the information sharing degree of supply chain firms. The research offers a novel approach to emergency management. It makes recommendations for how the company may share information to improve its emergency management capabilities. Finally, the feasibility of the model is verified and analyzed by a case.

show abstract

“…Regarding various applications of MCDM, these methods can be used in the field of the HSC efficiently either. Also, these applications have been used for the evaluation of humanitarian plans (Bingzhen and Weimin, 2016;Mao et al, 2022). Budak et al (2020) introduced a method that integrated interval-valued intuitionistic fuzzy (IVIF) sets in it.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques

Shakibaei

Farhadi-Ramin

Alipour-Vaezi

et al. 2023

View full text Add to dashboard Cite

PurposeEvery day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.Design/methodology/approachA new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.FindingsFor this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.Originality/valueObtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

show abstract

An approach to evaluation of emergency plans for unconventional emergency events based on soft fuzzy rough set

Cited by 25 publications

References 20 publications

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

Research on the Supply Chain Performance Evaluation Mechanism Based on Emergencies

Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques

Contact Info

Product

Resources

About