Modeling heterogeneous multi-attribute emergency decision-making with Dempster-Shafer theory

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.

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

Symmetry ◽

10.3390/sym9100234 ◽

2017 ◽

Vol 9 (10) ◽

pp. 234 ◽

Cited By ~ 14

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

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Multiple Criteria Decision Making Via Dempster-Shafer Theory and Prospect Theory

2018 International Conference on Advanced Mechatronic Systems (ICAMechS) ◽

10.1109/icamechs.2018.8507075 ◽

2018 ◽

Author(s):

Hua-Hua Xing ◽

Lei Song ◽

Zong-Xiao Yang

Keyword(s):

Decision Making ◽

Prospect Theory ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Dempster Shafer Theory ◽

Shafer Theory

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On the Neutrosophic, Pythagorean and Some Other Novel Fuzzy Sets Theories Used in Decision Making: Invitation to Discuss

Entropy ◽

10.3390/e23111485 ◽

2021 ◽

Vol 23 (11) ◽

pp. 1485

Author(s):

Pavel Sevastjanov ◽

Ludmila Dymova ◽

Krzysztof Kaczmarek

Keyword(s):

Decision Making ◽

Fuzzy Sets ◽

Intuitionistic Fuzzy Sets ◽

Short Paper ◽

Neutrosophic Sets ◽

Intuitionistic Fuzzy ◽

Dempster Shafer Theory ◽

Methodological Problems ◽

Shafer Theory ◽

Sets Theory

In this short paper, a critical analysis of the Neutrosophic, Pythagorean and some other novel fuzzy sets theories foundations is provided, taking into account that they actively used for the solution of the decision-making problems. The shortcomings of these theories are exposed. It is stated that the independence hypothesis, which is a cornerstone of the Neutrosophic sets theory, is not in line with common sense and therefore leads to the paradoxical results in the asymptotic limits of this theory. It is shown that the Pythagorean sets theory possesses questionable foundations, the sense of which cannot be explained reasonably. Moreover, this theory does not completely solve the declared problem. Similarly, important methodological problems of other analyzed theories are revealed. To solve the interior problems of the Atanassov’s intuitionistic fuzzy sets and to improve upon them, this being the reason most of the criticized novel sets theories were developed, an alternative approach based on extension of the intuitionistic fuzzy sets in the framework of the Dempster–Shafer theory is proposed. No propositions concerned with the improvement of the Cubic sets theory and Single-Valued Neutrosophic Offset theory were made, as their applicability was shown to be very dubious. In order to stimulate discussion, many statements are deliberately formulated in a hardline form.

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

JMIR Medical Informatics ◽

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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The framework structure and fuzzy processing of a nuclear emergency decision-making evaluation system (ESY)

International Journal of Nuclear Governance Economy and Ecology ◽

10.1504/ijngee.2009.026512 ◽

2009 ◽

Vol 2 (3) ◽

pp. 225

Author(s):

Lu Neng Zhi

Keyword(s):

Decision Making ◽

Evaluation System ◽

Framework Structure ◽

Emergency Decision Making ◽

Emergency Decision ◽

Nuclear Emergency

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Pythagorean probabilistic hesitant fuzzy aggregation operators and their application in decision-making

Kybernetes ◽

10.1108/k-11-2020-0747 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Bushra Batool ◽

Saleem Abdullah ◽

Shahzaib Ashraf ◽

Mumtaz Ahmad

Keyword(s):

Decision Making ◽

Fuzzy Number ◽

Weighted Average ◽

Aggregation Operators ◽

Content Type ◽

Operational Laws ◽

Fuzzy Aggregation ◽

Emergency Decision Making ◽

Emergency Decision ◽

Established Technique

PurposeThis is mainly because the restrictive condition of intuitionistic hesitant fuzzy number (IHFN) is relaxed by the membership functions of Pythagorean probabilistic hesitant fuzzy number (PyPHFN), so the range of domain value of PyPHFN is greatly expanded. The paper aims to develop a novel decision-making technique based on aggregation operators under PyPHFNs. For this, the authors propose Algebraic operational laws using algebraic norm for PyPHFNs. Furthermore, a list of aggregation operators, namely Pythagorean probabilistic hesitant fuzzy weighted average (PyPHFWA) operator, Pythagorean probabilistic hesitant fuzzy weighted geometric (PyPHFWG) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted average (PyPHFOWA) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted geometric (PyPHFOWG) operator, Pythagorean probabilistic hesitant fuzzy hybrid weighted average (PyPHFHWA) operator and Pythagorean probabilistic hesitant fuzzy hybrid weighted geometric (PyPHFHWG) operator, are proposed based on the defined algebraic operational laws. Also, interesting properties of these aggregation operators are discussed in detail.Design/methodology/approachPyPHFN is not only a generalization of the traditional IHFN, but also a more effective tool to deal with uncertain multi-attribute decision-making problems.FindingsIn addition, the authors design the algorithm to handle the uncertainty in emergency decision-making issues. At last, a numerical case study of coronavirus disease 2019 (COVID-19) as an emergency decision-making is introduced to show the implementation and validity of the established technique. Besides, the comparison of the existing and the proposed technique is established to show the effectiveness and validity of the established technique.Originality/valuePaper is original and not submitted elsewhere.

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