scholarly journals A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaodi Liu ◽  
Zengwen Wang ◽  
Shitao Zhang
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
Decision Makers ◽  
Attribute Weights ◽  
Perceived Utility ◽  
Novel Approach ◽  
Emergency Event ◽  
Emergency Decision Making ◽  
Ranking Order ◽  
Emergency Decision

Once an emergency event occurs, effective emergency measures should be taken. It is known that the emergency event possesses characteristics of limited time and information, harmfulness, and uncertainty, and the decision makers are often bounded rational under uncertainty and risk. This paper presents a novel approach to emergency decision making with hesitant fuzzy information, which takes regret aversion of the decision makers into account. Firstly, based on the idea of the water-filling theory in the field of wireless communications, a mathematical programming model that can convert the attribute values into a compatible scale and eliminate the influence of different physical dimensions is constructed to determine the attribute weights. Then, a group satisfaction degree function is introduced into the regret theory to depict the psychological behaviors of the decision makers, based on which the perceived utility value function of alternative is constructed. The total perceived utility values of alternatives can be computed, and the ranking order of alternatives is obtained. Finally, a case study on a fire and explosion accident is given to illustrate the application of the proposed method. Besides that, the comparisons show the feasibility and superiority of the proposed method.

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

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Xue-Feng Ding ◽  
Li-Xia Zhu ◽  
Mei-Shun Lu ◽  
Qi Wang ◽  
Yi-Qi Feng
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Decision Makers ◽  
Decision Matrix ◽  
Large Group ◽  
Emergency Event ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Alternative Solutions

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.

scholarly journals A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yong Liu
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
Risk Attitude ◽  
Decision Makers ◽  
Decision Making Process ◽  
Intuitionistic Fuzzy Numbers ◽  
Information Updating ◽  
Decision Making Problem ◽  
Emergency Decision Making ◽  
Emergency Decision

Emergency decision-making (EDM) is of paramount importance, especially when the emergency occurs. The evolution nature of the emergency, such as multistage, uncertainty, dynamic, and information updating, has been playing a key role in the dynamic emergency decision-making process. However, most existing studies ignored the aforementioned nature. Our approach accounts for the dynamics inherent to a real emergency decision-making process and presents a multistage dynamic emergency decision-making (MSDEDM) procedure of a dynamic programming model based on decision-makers’ psychological reference satisfactory degree. Firstly, interval-valued trapezoidal intuitionistic fuzzy numbers (IVTrIFNs) are used to depict the relevant fuzziness and uncertainty of information. Secondly, by considering the dynamic evolution process of emergency and the decision-makers’ psychological reference expectation effect, the principle of MSDEDM approach is presented. Based on the analysis, the dynamic model on the new psychological reference satisfactory parameter formula is presented to obtain the optimal satisfaction and weight of each stage. Then, the value utility function based on the DMs’ risk attitude is proposed to obtain the comprehensive value of each emergency alternative for each stage and achieve the ranking results of each stage. Furthermore, a case study involving the transportation emergency decision-making problem demonstrates that the proposed method can achieve selection of the optimal alternatives for each stage, as well as adjustment of the alternatives for neighbouring stages. Finally, the comparative analysis and sensitivity analysis for the results are used to further verify the feasibility and practicability of the proposed method.

Probabilistic hesitant fuzzy TOPSIS emergency decision-making method based on the cumulative prospect theory

2021 ◽  
pp. 1-17
Author(s):  
Xiuyan Sha ◽  
Chuancun Yina ◽  
Zeshui Xu ◽  
Shen Zhang
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Weighted Average ◽  
Original Data ◽  
Fuzzy Topsis ◽  
Cumulative Prospect Theory ◽  
New Method ◽  
Attribute Weights ◽  
Emergency Decision Making ◽  
Emergency Decision

In order to fully consider the decision-maker’s limited rationality and attitude to risk, this paper constructs the probabilistic hesitant fuzzy TOPSIS emergency decision-making model based on the cumulative prospect theory under the probabilistic hesitant fuzzy environment. Aiming at the problem of missing probabilistic information in the probabilistic hesitant fuzzy element, a new complement scheme is proposed. In this scheme, the weighted average result of the original data information is used to complement, and the original data information is retained to a large extent. Then this paper proposes several probabilistic hesitant fuzzy distance measures based on Lance distance. The decision reference point is constructed by the probabilistic hesitant fuzzy Lance distance, which overcomes the influence of the extreme value on the decision-making result, and defines the value function based on the probability hesitation fuzzy Lance distance. In view of the fact that the attribute weights are completely unknown, the probabilistic hesitant fuzzy exponential entropy is constructed by using the actual data, and the attribute weights of different prospect states are obtained. Aiming at the problem that attribute weights of different prospect states have different effects on the cumulative prospect value, the expression of the cumulative prospect value is improved. The improved closeness coefficient of the TOPSIS method is used to order the emergency schemes. Finally, the new method is applied to the emergency decision-making case of a sudden outbreak of epidemic respiratory disease. The results show that the contrast of the new method is obvious, which is conducive to distinguish different schemes. The new method is more suitable for the complex and changeable emergency decision-making field.

scholarly journals Multi-stage emergency decision-making method based on cumulative prospect theory and intuitionistic fuzzy number

2020 ◽  
Author(s):  
Junxiang Xu ◽  
Jingni Guo ◽  
Jin Zhang ◽  
Weihua Liu ◽  
Hui Ma
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Cumulative Prospect Theory ◽  
Reference Points ◽  
Decision Makers ◽  
Dynamic Adjustment ◽  
Multi Stage ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
The Impact

Aiming at the problem where the dynamic adjustment of reference points under the impact of decision makers’ emotions may lead to different decision-making results, this research proposes a multi-stage emergency decision-making method with the emotion updating mechanism of decision makers. The method of setting dynamic reference points under the influence of decision-makers' emotions is given in this study, and the scenario value of each stage of emergency is calculated by using cumulative prospect theory, so as to describe the emotion renewal mechanism of decision-makers. The scenario weights of each stage are calculated, and the prospect values of alternatives at each stage are calculated according to the prospect value, input costs and start-up time values of the alternatives. Furthermore, by giving a calculation method of the weight of each stage, the overall values of the alternatives are calculated and the ranking of the alternatives is given. Taking Sichuan Tibet emergency rescue in China as an case analysis, the scientific rationality of the theory proposed in this paper is verified.

Categories in emergency decision-making: prototype-based classification

Kybernetes ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 526-553
Author(s):  
Mei Cai ◽  
Guo Wei ◽  
Jie Cao
Keyword(s):  
Decision Making ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Decision Makers ◽  
Mutual Distance ◽  
Content Type ◽  
Emergency Decision Making ◽  
Emergency Events ◽  
Emergency Decision ◽  
Three Dimensional Space

PurposeThis paper aims to demonstrate how to make emergency decision when decision makers face a complex and turbulent environment that needs quite different decision-making processes from conventional ones. Traditional decision techniques cannot meet the demands of today’s social stability and security.Design/methodology/approachThe main work is to develop an instance-driven classifier for the emergency categories based upon three fuzzy measures: features for an instance, solution for the instance and effect evaluation of the outcome. First, the information collected from the past emergency events is encodes into a prototype model. Second, a three-dimensional space that describes the locations and mutual distance relationships of the emergency events in different emergency prototypes is formulated. Third, for any new emergency event to be classified, the nearest emergency prototype is identified in the three-dimensional space and is classified into that category.FindingsAn instance-driven classifier based on prototype theory helps decision makers to describe emergency concept more clearly. The maximizing deviation model is constructed to determine the optimal relative weights of features according to the characteristics of the new instance, such that every customized feature space maximizes the influence of features shared by members of the category. Comparisons and discusses of the proposed method with other existing methods are given.Practical implicationsTo reduce the affection to economic development, more and more countries have recognized the importance of emergency response solutions as an indispensable activity. In a new emergency instance, it is very challengeable for a decision maker to form a rational and feasible humanitarian aids scheme under the time pressure. After selecting a most suitable prototype, decision makers can learn most relevant experience and lessons in the emergency profile database and generate plan for the new instance. The proposed approach is to effectively make full use of inhomogeneous information in different types of resources and optimize resource allocation.Originality/valueThe combination of instances can reflect different aspects of a prototype. This feature solves the problem of insufficient learning data, which is a significant characteristic of emergency decision-making. It can be seen as a customized classification mechanism, while the previous classifiers always assume key features of a category.

scholarly journals Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Orthopair Uncertain Linguistic Power Muirhead Mean Operators

2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Hongmei Zhao ◽  
Runtong Zhang ◽  
Ao Zhang ◽  
Xiaomin Zhu
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Programming Model ◽  
Qualitative Evaluation ◽  
Decision Makers ◽  
Cross Entropy ◽  
Attribute Weights ◽  
Special Cases ◽  
Linguistic Power

Q-rung orthopair uncertain linguistic sets (q-ROULSs) are a powerful tool for describing ambiguity and uncertainty of linguistic information. In this study, considering that in most multi-attribute group decision making (MAGDM) problems, not only the quantitative evaluation information of decision makers but also the qualitative evaluation opinions should be considered. Therefore, we develop a novel MAGDM method with unknown attribute weights under the q-rung orthopair uncertain linguistic environments. We firstly propose the cross-entropy of q-ROULSs, which is utilized to solve the optimal attribute weights by a linear programming model. In order to effectively summarize the unclear language information of q-ROULSs, we extend the power Muirhead mean (PMM) operator to q-ROULSs, and propose a family of q-rung othpair uncertain linguistic power Muirhead mean (q-ROULPMM) operators. The advantage of the PMM operator is that it not only mitigates the adverse effects of too high or too low attribute values on the results, but also takes into account the interrelationships between attribute values. At the same time, some ideal properties and special cases of the q-ROULPMM operator are also studied. Further, a new method based on the proposed cross-entropy and aggregation operators is developed for solving the MAGDM problem under q-ROULSs. Finally, we carried out numerical experiments to prove the effectiveness and superiority of the method

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

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 Exploring Factors Affecting the Emergency Specialists’ Decision-Making in Case of Emergencies in Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Abbasali Ebrahimian ◽  
Seyed-Hossein Hashemi-Amrei ◽  
Mohammadreza Monesan
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Qualitative Content Analysis ◽  
Decision Makers ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Emergency Situations ◽  
The Core ◽  
Semistructured Interviews ◽  
Emergency Decision

Introduction. Appropriate decision-making is essential in emergency situations; however, little information is available on how emergency decision-makers decide on the emergency status of the patients shifted to the emergency department of the hospital. This study aimed at explaining the factors that influence the emergency specialists’ decision-making in case of emergency conditions in patients. Methods. This study was carried out with a qualitative content analysis approach. The participants were selected based on purposive sampling by the emergency specialists. The data were collected through semistructured interviews and were analyzed using the method proposed by Graneheim and Lundman. Results. The core theme of the study was “efforts to perceive the acute health threats of the patient.” This theme was derived from the main classes, including “the identification of the acute threats based on the patient’s condition” and “the identification of the acute threats based on peripheral conditions.” Conclusions. The conditions governing the decision-making process about patients in the emergency department differ from the conditions in other health-care departments at hospitals. Emergency specialists may have several approaches to decide about the patients’ emergency conditions. Therefore, notably, the emergency specialists’ working conditions and the others’ expectations from these specialists should be considered.

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