A multi criteria comprehensive evaluation approach for emergency response capacity with interval 2-tuple linguistic information

Qi, Kaixuan; Wang, Qingsong; Duan, Qiangling; Gong, Liang; Sun, Jinhua; Liew, K.M.; Jiang, Lin

doi:10.1016/j.asoc.2018.07.043

Cited by 37 publications

(25 citation statements)

References 45 publications

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“…In recent years, various emergencies have occurred all over the world, including accidents (such as chemical spills, explosions, and urban fires) and natural disasters (such as earthquakes, hurricanes, and floods) caused by human negligence. These emergencies not only caused huge casualties and property losses, but also adversely affected public safety and social stability .…”

Section: Introductionmentioning

confidence: 99%

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Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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With the intensification of global warming trends, the frequent occurrence of natural disasters has brought severe challenges to the sustainable development of society. Emergency decision‐making (EDM) in natural disasters is playing an increasingly important role in improving disaster response capacity. In the case of EDM evaluation, the essential problem arises serious incompleteness, impreciseness, subjectivity, and incertitude. The q‐rung orthopair fuzzy set (q‐ROFS), disposing the indeterminacy portrayed by membership and nonmembership with the sum of qth power of them, is a more viable and effective means to seize indeterminacy. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the failure problems when comparing two q‐ROFNs. Firstly, we introduce some basic set operations for q‐ROFS. The properties of these operations are also discussed in detail. Later, we propose a q‐rung orthopair fuzzy decision‐making method based on weighted distance‐based approximation (WDBA), in which the weights of decision‐makers are obtained from a nonliner optimization model according to the deviation‐based method. Finally, some examples are investigated to illustrate the feasibility and validity of the proposed approach. The salient features of the proposed method, compared to the existing q‐rung orthopair fuzzy decision‐making methods, are as follows: (a) it can obtain the optimal alternative without counterintuitive phenomena and (b) it has a great power in distinguishing the optimal alternative.

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Section: Introductionmentioning

confidence: 99%

“…These emergencies have more or less impact on disaster relief activities, exposing the shortcomings of emergency management agencies in responding to them. Therefore, it is important to develop and strengthen effective emergency response capabilities to better respond to disasters …”

Section: Introductionmentioning

confidence: 99%

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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“…They are regarded as one effective way for the determination of the optimal solution in emergency decision‐making (EDM). Thus, based on MCDM methods, many researches have been carried out to address EDM problems recently …”

Section: Introductionmentioning

confidence: 99%

“…Thus, based on MCDM methods, many researches have been carried out to address EDM problems recently. [10][11][12][13][14] In the real EDM process, because of the uncertainty and vagueness of emergency circumstances, decision-makers have difficulties to quantify their evaluations with precise values. 15 Instead, they tend to utilize using linguistic grades to express their opinions.…”

Section: Introductionmentioning

confidence: 99%

A new approach for emergency decision‐making based on zero‐sum game with Pythagorean fuzzy uncertain linguistic variables

Ding

Liu

2019

Int J Intell Syst

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Once an emergency event occurs, a reasonable and effective emergency decision should be made within a short time. The emergency decision‐making (EDM) problems which are based on linguistic information have become a research focus in recent years. In this paper, to ensure more effective EDM in real‐life circumstances, a novel combined approach is presented by extending the zero‐sum game (ZSG) using best‐worst method (BWM) and Pythagorean fuzzy uncertain linguistic variables (PFULVs). First, the weights of criteria are calculated by the BWM. Then, the payoff evaluations of decision‐makers are expressed by the PFULVs, and the group payoff evaluation matrix is constructed by using the Pythagorean fuzzy uncertain linguistic prioritized weighted averaging operator. After that, the ZSG method is introduced to rank alternative emergency solutions. The new approach helps to express the vagueness of assessment data provided by decision‐makers more precisely in emergency situations. Finally, a real EDM example is presented and a comparison analysis is performed to validate the feasibility and practicability of the proposed BWM‐PFULV‐ZSG method.

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“…One of the well‐known uncertain linguistic computational methods is the interval two‐tuple linguistic representation model . This model is able to better depict the judgment information of decision makers and has been employed by researchers in a lot of decision‐making problems, including tacit knowledge acquisition, emergency response capacity evaluation, supplier selection, and health care waste management . Besides, the interval two‐tuple linguistic variables have been successfully applied to FMEA to manage the hesitant linguistic assessments of failure modes .…”

Section: Introductionmentioning

confidence: 99%

A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development

Wang

Liu

et al. 2019

Quality & Reliability Eng

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Failure mode and effects analysis (FMEA) is a widely used risk management technique for identifying the potential failures from a system, design, or process and determining the most serious ones for risk reduction. Nonetheless, the traditional FMEA method has been criticized for having many deficiencies.Further, in the real world, FMEA team members are usually bounded rationality, and thus, their psychological behaviors should be considered. In response, this study presents a novel risk priority model for FMEA by using interval twotuple linguistic variables and an integrated multicriteria decision-making (MCDM) method. The interval two-tuple linguistic variables are used to capture FMEA team members' diverse assessments on the risk of failure modes and the weights of risk factors. An integrated MCDM method based on regret theory and TODIM (an acronym in Portuguese for interactive MCDM) is developed to prioritize failure modes taking experts' psychological behaviors into account. Finally, an illustrative example regarding medical product development is included to verify the feasibility and effectiveness of the proposed FMEA. By comparing with other existing methods, the proposed linguistic FMEA approach is shown to be more advantageous in ranking failure modes under the uncertain and complex environment.KEYWORDS failure mode and effects analysis (FMEA), interval two-tuple, medical product development, regret theory, TODIM method

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A multi criteria comprehensive evaluation approach for emergency response capacity with interval 2-tuple linguistic information

Cited by 37 publications

References 45 publications

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

A new approach for emergency decision‐making based on zero‐sum game with Pythagorean fuzzy uncertain linguistic variables

A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development

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