scholarly journals An Emergency Decision-Making Method for Probabilistic Linguistic Term Sets Extended by D Number Theory

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 380 ◽  
Author(s):  
Hongming Mo
Keyword(s):  
Decision Making ◽  
Number Theory ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets ◽  
Emergency Decision Making ◽  
Multi Attribute Decision Making ◽  
Property Losses ◽  
Emergency Decision ◽  
Future Work ◽  
Evaluation Information

Emergency decision-making has become as one of the hot issues in recent years. The aim of emergency decision-making is to reduce the casualties and property losses. All the processes of emergency decision-making are full of incompleteness and hesitation. The problem of emergency decision-making can be regarded as one of the multi-attribute decision-making (MADM) problems. In this manuscript, a new method to solve the problem of emergency decision-making named D-PLTS is proposed, based on D number theory and the probability linguistic term set (PLTS). The evaluation information given by experts is tidied to be the form of PLTS, which can be directly transferred to the form of the D number, no matter whether the information is complete or not. Furthermore, the integration property of D number theory is carried out to fuse the information. Besides, two examples are given to demonstrate the effectiveness of the proposed method. Compared with some existing methods, the D-PLTS is more straightforward and has less computational complexity. Allocation weights that are more reasonable is the future work for the D-PLTS method.

scholarly journals Hybrid TODIM Method with Crisp Number and Probability Linguistic Term Set for Urban Epidemic Situation Evaluation

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Wenshuai Wu ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Attenuation Factor ◽  
Multicriteria Decision Making ◽  
Humanitarian Crisis ◽  
Global Challenge ◽  
Linguistic Term ◽  
Emergency Decision Making ◽  
Todim Method ◽  
Emergency Decision

Emergency medical services during the COVID-19 epidemic have become the focus of worldwide attention, and how to effectively respond to urban epidemic situation during a complex environment has become a global challenge. Emergency decision-making can be considered as a multicriteria decision-making (MCDM) problem, which involves multiple criteria or attributes about qualitative and quantitative aspects. So, in this paper, based on the TODIM method, a hybrid TODIM method with crisp number and probability linguistic term set is first provided to evaluate the severity of urban COVID-19 epidemic situation during a complex humanitarian crisis environment. In this hybrid method, the quantitative aspects are evaluated on the basis of precise numerical values, and the qualitative aspects are evaluated by means of probability linguistic term set, which can not only express their judgments or linguistic preference with multiple linguistic terms but also reflect different importance degrees or probability degrees of all the possible linguistic information or preference information. In addition, the concept of entropy and probability linguistic entropy is applied to induce hybrid criteria weight information. Furthermore, sensitivity analysis of the parameter about attenuation factor of the losses in the hybrid TODIM method, which considers the psychology factors and cognitive behavior of the DMs, is further conducted on a case study, to verify the effectiveness and stability of the proposed method for urban epidemic situation evaluation according to the results of this study.

scholarly journals A Novel Group Decision-Making Method Based on Generalized Distance Measures of PLTSs on E-Commerce Shopping

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Juxiang Wang ◽  
Jian Yuan ◽  
Jiajing Zhang ◽  
Miao Tang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Distance Measures ◽  
Sensitivity Analyses ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets ◽  
Generalized Distance Measures ◽  
Evaluation Information ◽  
Generalized Distance

In multiattribute group decision-making (MAGDM), due to quantity, fuzziness, and complexity of evaluation linguistic information on commodities, traditional distance measures need to be extended to the integration of evaluation information under a multigranular probabilistic linguistic environment. A more reasonable method is proposed to deal with the missing value in the evaluation information. On the basis of the generalized distance measures and filling in the missing evaluation information, some novel distance measures between two multigranular probabilistic linguistic term sets (PLTSs) are presented in this paper. Based on these distance measures, three extended decision-making (DM) algorithms based on TOPSIS, the extended TOPSIS, and VIKOR are proposed, which are MGPL-TOPSIS, MGPL-ETOPSIS, and MGPL-VIKOR, respectively. The case analyses on purchasing a car are provided to illustrate the application of the extended multiattribute group decision-making (MAGDM) algorithms. Then, sensitivity analyses based on PT are proposed as well. In particular, the extended TOPSIS method is presented. These results demonstrate the novelty, feasibility, and rationality of the distance measures between two multigranular PLTSs proposed in this paper.

scholarly journals The optimal emergency decision-making method with incomplete probabilistic information

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Fu ◽  
Lifang Wang ◽  
Bingyun Zheng ◽  
Haiyan Shao
Keyword(s):  
Decision Making ◽  
Data Structure ◽  
Gap Model ◽  
Unknown Parameters ◽  
Probabilistic Information ◽  
Weighted Arithmetic ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Probability Information ◽  
Evaluation Information

AbstractEmergencies often occur irregularly, such as infectious diseases, earthquakes, wars, floods, the diffusion and leakage of chemically toxic and harmful substances, etc. These emergencies can bring huge disasters to people, even worse, the time left for people to make critical decisions is usually very limited. When an emergency occurs, the most important thing for people is to make reasonable decisions as soon as possible to deal with the current problems, otherwise, the situation may deteriorate further. The paper proposes an emergency decision-making algorithm under the constraints of the limited time and incomplete information, the research is mainly carried out from the following aspects, firstly, we use the data structure of the hesitant fuzzy probabilistic linguistic set to collect the basic data after careful comparison, which has three advantages, (1) considering the hesitation in the decision-making process, each evaluation information is allowed to contain multiple values instead of just one value; (2) each evaluation value is followed by a probability value, which further describes the details of the evaluation information; (3) the data structure allows some probability information to be unknown, which effectively expands the application scope of the algorithm. Secondly, the maximization gap model is proposed to calculate unknown parameters, the model can distinguish alternatives with small differences. Thirdly, all the evaluation information will be aggregated by the dynamic hesitant probability fuzzy weighted arithmetic operator. Subsequently, an instance is given to illustrate the effectiveness and the accuracy of the algorithm proposed in the paper. Finally, the advantages of the proposed algorithm are further demonstrated by comparing it with other outstanding algorithms. The main contribution of the paper is that we propose the maximization gap model to obtain the unknown parameters, which can effectively and accurately distinguish alternatives with small differences.

Multi-attribute decision making method based on probabilistic linguistic term sets and its application in the evaluation of emergency logistics capacity

2021 ◽  
pp. 1-12
Author(s):  
Yaxu Yang ◽  
Zixue Guo ◽  
Zefang He
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Public Health Emergency ◽  
Economic Losses ◽  
Emergency Relief ◽  
Emergency Logistics ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets ◽  
Multi Attribute Decision Making ◽  
Logistics Capability

The occurrence of public health emergency will cause huge economic losses and casualties, which posed a huge threat to the economic and social development. In response to the emergency, a large amount of emergency relief supplies will be transported to the affected areas. Faced with this public health emergency of international concern, the concept of emergency logistics capacity and the evaluation model based on probabilistic linguistic term sets are proposed. In this paper, the emergency logistics capability evaluation is transformed into user demand evaluation, and the importance of each index of emergency logistics capability is determined by using Quality Function Deployment (QFD) and prospect theory. Under the probabilistic language information environment, a multi-attribute decision making method is established by using TODIM method. Finally, an example is given to verify the feasibility of the proposed method.

An improved multi-criteria emergency decision-making method in environmental disasters

2021 ◽  
Author(s):  
Guang-Jun Jiang ◽  
Hong-Xia Chen ◽  
Hong-Hua Sun ◽  
Mohammad Yazdi ◽  
Arman Nedjati ◽  
...  
Keyword(s):  
Decision Making ◽  
Environmental Disasters ◽  
Emergency Decision Making ◽  
Emergency Decision

scholarly journals An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study

2018 ◽  
Vol 10 (10) ◽  
pp. 3453 ◽  
Author(s):  
Jiyong Ding ◽  
Juefang Cai ◽  
Guangxiang Guo ◽  
Chen Chen
Keyword(s):  
Decision Making ◽  
Bayesian Analysis ◽  
Emergency Management ◽  
Utility Theory ◽  
Urban Traffic ◽  
Economic Losses ◽  
Water Logging ◽  
Multi Attribute Utility Theory ◽  
Emergency Decision Making ◽  
Emergency Decision

With the rapid development of the urbanization process, rainstorm water-logging events occur more frequently in big cities in China, which causes great impact on urban traffic safety and brings about severe economic losses. Water-logging has become a hot issue of widespread concern in China. As one kind of natural disasters and emergencies, rainstorm water-logging has the uncertainties of occurrence, development, and evolution. Thus, the emergency decision-making in rainstorm water-logging should be carried out in stages according to its development trend, which is very complicated. In this paper, an emergency decision-making method was proposed for urban water-logging with a hybrid use of dynamic network game technology, Bayesian analysis, and multi-attribute utility theory. The dynamic game process between “rainstorm water-logging” and “decision-making group” was established and the dynamic generation of emergency schemes was analyzed based on Bayesian analysis in various stages of water-logging. In terms of decision-making attributes, this paper mainly considered two goals, i.e., ensuring smooth traffic and controlling emergency cost. The multi-attribute utility theory was used to select the final scheme. An example analysis in Guangzhou of China showed that the method is more targeted and can achieve emergency management objectives more effectively when compared with traditional methods. Therefore, it can provide reference for the scientific decision-making of emergency management in urban rainstorm water-logging.

scholarly journals Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

Symmetry ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 234 ◽  
Author(s):  
Liang Wang ◽  
Álvaro Labella ◽  
Rosa M. Rodríguez ◽  
Ying-Ming Wang ◽  
Luis Martínez
Keyword(s):  
Decision Making ◽  
Psychological Behavior ◽  
Emergency Decision Making ◽  
Emergency Decision

scholarly journals An Artificial Intelligence Fusion Model for Cardiac Emergency Decision Making: Application and Robustness Analysis

10.2196/19428 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e19428
Author(s):  
Liheng Gong ◽  
Xiao Zhang ◽  
Ling Li
Keyword(s):  
Decision Making ◽  
Medical Treatment ◽  
Coordination Mechanism ◽  
Theoretical Research ◽  
Medical Decision ◽  
Knowledge Reasoning ◽  
Emergency Medical ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Cardiac Emergency

Background During cardiac emergency medical treatment, reducing the incidence of avoidable adverse events, ensuring the safety of patients, and generally improving the quality and efficiency of medical treatment have been important research topics in theoretical and practical circles. Objective This paper examines the robustness of the decision-making reasoning process from the overall perspective of the cardiac emergency medical system. Methods The principle of robustness was introduced into our study on the quality and efficiency of cardiac emergency decision making. We propose the concept of robustness for complex medical decision making by targeting the problem of low reasoning efficiency and accuracy in cardiac emergency decision making. The key bottlenecks such as anti-interference capability, fault tolerance, and redundancy were studied. The rules of knowledge acquisition and transfer in the decision-making process were systematically analyzed to reveal the core role of knowledge reasoning. Results The robustness threshold method was adopted to construct the robustness criteria group of the system, and the fusion and coordination mechanism was realized through information entropy, information gain, and mutual information methods. Conclusions A set of fusion models and robust threshold methods such as the R2CMIFS (treatment mode of fibroblastic sarcoma) model and the RTCRF (clinical trial observation mode) model were proposed. Our study enriches the theoretical research on robustness in this field.

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