scholarly journals Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC

2020 ◽  
Vol 17 (8) ◽  
pp. 2945 ◽  
Author(s):  
Xia Liang ◽  
Fei Teng ◽  
Yan Sun
Keyword(s):  
Emergency Management ◽  
Group Decision ◽  
Distance Matrix ◽  
Linguistic Terms ◽  
Decision Method ◽  
Multiple Group ◽  
Emergency Event ◽  
Novel Method ◽  
Multiple Groups ◽  
Emergency Decision

When an emergency event occurs, it is critical to respond in the shortest possible time. Therefore, the rationality and effectiveness of emergency decisions are the key links in emergency management. In this paper, with aims to investigate the problem of emergency alternatives selection, in which a large number of experts from multiple groups consider the linguistic evaluations of emergency alternatives and prior orders of criteria, a novel emergency decision method is proposed. First, many experts from multiple subgroups are employed to evaluate the emergency alternatives associated with multiple criteria in the format of linguistic terms. Then, linguistic distribution evaluations for the emergency alternatives of the criteria associated with each subgroup are constructed. With respect to the linguistic distribution evaluations associated with the different subgroups, the linguistic distribution power average (LDPA) and linguistic distribution weighted power average (LDWPA) operators are developed so as to aggregate the subgroups’ evaluations. Next, based on the linguistic distribution multi-attributive border approximation area comparison (LD-MABAC) method, the distance matrix of the emergency alternatives is calculated. Furthermore, the prior weights of the criteria are determined based on the distance values. Finally, the ranking result of the emergency alternatives is derived. A practical example of emergency alternatives selection is adopted to illustrate the availability and practicability 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.

Study on Emergency Management of Sudden Water Pollution Accidents

2013 ◽  
Vol 726-731 ◽  
pp. 4142-4145
Author(s):  
Yun Long Zhang ◽  
Qiang Mei
Keyword(s):  
Water Pollution ◽  
Emergency Management ◽  
Group Decision ◽  
Emergency Situation ◽  
Grey System Theory ◽  
Grey System ◽  
Multiple Group ◽  
National Economic ◽  
Prevention And Treatment ◽  
Sudden Water Pollution

China is facing serious environmental pollution problems and the increasingly worsening water pollution as well as frequent sudden water pollution accidents has become the most notable one. Based on theory of risk prediction and group decision, a series of emergency management methods in dealing with sudden water pollution accidents was presented. In which grey system theory was used in the prediction of sudden water pollution accidents and a GM(1,1) model was given. The results gotten from the GM(1,1) model might be useful in improving our ability of the prevention and treatment of emergent accidents. At the same time, the method of multiple group decision-making was used to illustrate the progress of making decision in real-time event of sudden water pollution accidents. This method will help the decision maker make effective decisions under emergency situation which will reduce the probability of risk, minimize losses, and guarantee the national economic and social security.

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.

Decision Models and Group Decision Support Systems for Emergency Management and City Resilience

2021 ◽  
pp. 723-740
Author(s):  
Yumei Chen ◽  
Xiaoyi Zhao ◽  
Eliot Rich ◽  
Luis Felipe Luna-Reyes
Keyword(s):  
Decision Support ◽  
Emergency Management ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Decision Models ◽  
Graduate Course ◽  
Coastal Cities

This paper introduces the concept of Group Decision Support Systems (GDSS) as a tool to support emergency management and resilience in coastal cities. As an illustration of the potential value of GDSS, we discuss the use of the Pointe Claire teaching case. Participants in the exercise work in groups to approach the case using four different computer-supported decision models to explore and recommend policies for emergency mitigation and city resilience. The case, as well as the decision models, can be a valuable GDSS tool, particularly in the mitigation stages of the emergency management cycle. We present preliminary results from the use of the case, models and a simulation environment in a graduate course. We finish the paper by presenting our experience as a framework for building more efficient and secure emergency management systems through the use of GDSS.

A Novel Linguistic Group Decision-Making Model Based on Extended Hesitant Fuzzy Linguistic Term Sets

2015 ◽  
Vol 23 (03) ◽  
pp. 379-398 ◽  
Author(s):  
Cuiping Wei ◽  
Na Zhao ◽  
Xijin Tang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Distance Measures ◽  
Linguistic Terms ◽  
Linguistic Information ◽  
Linguistic Group ◽  
Linguistic Term ◽  
Decision Making Model ◽  
Fuzzy Linguistic

Hesitant fuzzy linguistic term set (HFLTS) is a set with ordered consecutive linguistic terms, and is very useful in addressing the situations where people are hesitant in providing their linguistic assessments. Wang [H. Wang, Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making, International Journal of Computational Intelligence Systems 8(1) (2015) 14–33.] removed the consecutive condition to introduce the notion of extended HFLTS (EHFLTS). The generalized form has wider applications in linguistic group decision-making. By introducing distance measures for EHFLTSs, in this paper we develop a novel multi-criteria group decision making model to deal with hesitant fuzzy linguistic information. The model collects group linguistic information by using EHFLTSs and avoids the possible loss of information. Moreover, it can assess the importance weights of criteria according to their subjective and objective information and rank alternatives based on the rationale of TOPSIS. In order to illustrate the applicability of the proposed algorithm, two examples are given and comparisons are made with the other existing methods.

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