An approach to emergency decision making based on decision-theoretic rough set over two universes

Sun, Baiqing; Ma, Weimin; Zhao, Haiyan

doi:10.1007/s00500-015-1721-6

Cited by 60 publications

(26 citation statements)

References 46 publications

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“…Through Equations (2) and 3, the judgment matrix for area E is shown in Table 5. (ii) Determine the preference of area E over all the other areas.…”

Section: Practical Example For Edm With Improved Gamentioning

confidence: 99%

“…An emergency ordinarily leads to great casualties and enormous economic losses, such as September 11 attacks in 2001, Wenchuan earthquake in 2008, West African Ebola virus epidemic in 2014, and Typhoon Mangkhut in 2018 (the situation of casualties and enormous economic losses can be seen in Table 1). The topic of emergency response has attracted some scholars' attention recently [1][2][3]. How to deal with emergencies in time has become an urgent problem to be solved by decision makers (DMs).…”

Section: Introductionmentioning

confidence: 99%

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An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory

2019

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The study of emergency decision making (EDM) is helpful to reduce the difficulty of decision making and improve the efficiency of decision makers (DMs). The purpose of this paper is to propose an innovative genetic algorithm for emergency decision making under resource constraints. Firstly, this paper analyzes the emergency situation under resource constraints, and then, according to the prospect theory (PT), we further propose an improved value measurement function and an emergency loss levels weighting algorithm. Secondly, we assign weights for all emergency locations using the best–worst method (BWM). Then, an improved genetic algorithm (GA) based on prospect theory (PT) is established to solve the problem of emergency resource allocation between multiple emergency locations under resource constraints. Finally, the analyses of example show that the algorithm can shorten the decision-making time and provide a better decision scheme, which has certain practical significance.

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“…Through Equations (2) and 3, the judgment matrix for area E is shown in Table 5. (ii) Determine the preference of area E over all the other areas.…”

Section: Practical Example For Edm With Improved Gamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory

2019

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“…Studying and learning critical thinking skills are effective in increasing the power of initiative and creativity of managers (79,80).…”

Section: Thematic Analysismentioning

confidence: 99%

Decision-making on Hospital Emergency Evacuation in Disasters and Emergencies: Findings From a Systematic Review

Yaghoubi¹,

Ardalan²,

Zavareh³

et al. 2017

Iran Red Crescent Med J

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Context: Disasters are increasing worldwide, with more devastating effects than ever before. Hospitals must maintain their normal functions or have an evacuation plan due to the rate of damages at the time of a sudden disaster. The present study was conducted to determine the effective determinants and components in hospital evacuation decision-making.Evidence Acquisition: In this systematic review study, which was conducted in 2016, bibliographies, citation databases, and other available records such as international guidelines, documents and reports of organizations and academic dissertations were used to find an answer to the following question: What are the effective components in hospital evacuation decision-making? Finally, 34 articles were included in this systematic review. This systematic review article was checked with PRISMA checklist. Results:The common factors affecting hospital emergency evacuation decision-making were classified into 4 general categories and 40 subcategories, which have been explored during thematic analysis. These 4 categories included hospital infrastructure consequences, threat, internal factors, and external factors. Level of risk was the most important component of threat category and it was mentioned in most of the reviewed literature. Loss of electricity and water, communication and transportation, resources such as staff, and removing patient devices were the most mentioned factors in hospital infrastructure consequences, external factors, and internal factors, respectively. Conclusions:Different variables affect the process of hospital emergency evacuation decision-making. Thus, further studies are needed to develop a decision-making tool for hospital emergency evacuations in Iran.Keywords: Hospital Evacuation, Decision-Making, Disasters, Emergencies ContextThe percentage of disasters and their devastating concerns is increasing worldwide. It was reported that 3.3 million people died in disasters globally from 1970 to 2010 (1, 2). Despite advances in science and technology, it is not yet possible to forecast unexpected events such as earthquakes. In the critical situations following disasters, mortality and morbidity as well as the demand for health care services suddenly increase (3).Health system has a special place among other organizations involved in crisis management because it is the first and foremost need at the time of crises during disasters and unexpected circumstances (4). Hospitals, as key elements in providing preparedness in emergency situations, must remain fully functional at the time of disasters and major incidents (5). They are fundamental resources for successful management of disasters (6).The vulnerability of hospitals in disasters results in instabilities in providing health care (7). Hundreds of hospitals and other health care facilities are destroyed or lose their function in natural disasters worldwide every year Yaghoubi T et al. centers have been evacuated urgently due to fire, incidents related to Hydro-meteorological changes, ter...

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“…He (2015a, 2015b) researched the theoretical and practical problems of the consensus strategy based on the minimum cost and maximum return with interval preference opinions. Stochastic multiattribute decision theory is applied to uncertainty mathematical theories [4][5][6][7][8][9][10][11][12][13][17][18][19][20], Logic-Mathematical theory [11], rough set theory [14], game theory [17], consensus decision [18][19][20], matrix games [4], fuzzy information [5,6], and so on.…”

Section: Introductionmentioning

confidence: 99%

Large Group Decision-Making Approach Based on Stochastic MULTIMOORA: An Application of Doctor Evaluation in Healthcare Service

Gao

Liang

et al. 2018

Complexity

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Purpose. This paper presents a new method and model based on stochastic MULTIMOORA method and discuss its application to the doctor evaluation in healthcare service. Design/Methodology/Approach. In the previous studies, the number of decision group is often assumed to be small, and the different dimensions of the evaluation indexes were also less. In this paper, the authors study how to evaluate the healthcare service quality of doctors by the large group. Based on the stochastic MULTIMOORA theory, the authors use the method that builds the function of the net probability, the distance between the ideal solutions, and the utility of each doctor. Findings. This paper presents a novel model to determine the optimal doctor that considers both two dimensions in the index system and balances the evaluation results of the two dimensions. The authors designed the questionnaire and conducted field survey to make the proposed method closer to the actual situation in China. Then, they determined the optimal evaluation result for the healthcare service quality of doctors. Research Limitations/Implications. In the process of practical decision-making, there are differences in intellectual literacy level, regional background, and language preference between different decision-makers. it is impossible for the method we proposed to consider the differentiation index system of decision-makers’ preference comprehensively. And this will be a further research direction. Practical Implications. The authors proposed two evaluation index dimensions and tryed to balance the evaluation results of the two dimensions as much as possible. Meanwhile, the information aggregation method based on stochastic MULTIMOORA is distinguished. Social Implications. The proposed method can be applied to the evaluation of doctors in actual healthcare service. It is helpful to improve the healthcare service quality and the hospital management level, further improve the core competition of hospitals Originality/Value. This paper makes up for the lack of existing studies of the large group evaluation decision in the healthcare service. A new method on the evaluation of doctors by the large group is established and applied to a healthcare management decision-making problem with Chinese characteristics in reality.

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An approach to emergency decision making based on decision-theoretic rough set over two universes

Cited by 60 publications

References 46 publications

An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory

An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory

Decision-making on Hospital Emergency Evacuation in Disasters and Emergencies: Findings From a Systematic Review

Large Group Decision-Making Approach Based on Stochastic MULTIMOORA: An Application of Doctor Evaluation in Healthcare Service

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