A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making

Calache, Lucas Daniel Del Rosso; Camargo, Victor Claudio Bento de; Osiro, Lauro; Carpinetti, Luiz César Ribeiro

doi:10.1016/j.asoc.2022.108778

Cited by 19 publications

(9 citation statements)

References 101 publications

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“…However, since the decision-making groups come from different professional fields and have different knowledge backgrounds, different DMs may give different evaluation information, and they can only partially understand the goals of other DMs, and their own goals are not fully understood by others as well. As a result, it is very rare for various groups to agree with each other, which requires amendments to the opinions that are too different to achieve the required consensus level, and then proceed to the risk assessment [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Multiattribute Group Decision-Making Approach for Risk Assessment in Aviation Emergency Rescue

Wang

Liang

et al. 2022

International Journal of Aerospace Engineering

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An effective risk assessment approach for assessing the risk level of aviation emergency rescue is essential to aviation emergency management. Therefore, this study is aimed at extending a novel integrated multiattribute group decision-making (MAGDM) approach to conduct risk assessment in aviation emergency rescue. First, a combined improved Swiss cheese model and fault tree analysis method are used to build the index system for risk assessment. Next, the weight vector for risk assessment is calculated using the consensus-based improved analytic hierarchy process (IAHP). Then, based on the traditional technique for order preference by similarity to the ideal solution (TOPSIS) method, we improve the definition express of ideal solution and the standardized formula of indexes, thereby providing a consensus-based improved TOPSIS method to compute the evaluation matrix for risk assessment. Finally, the weight vector and evaluation matrix are combined to estimate the risk level of aviation emergency rescue. As aviation emergency rescue in a sudden natural disaster an example, we illustrate the feasibility of the proposed method and demonstrate its effectiveness by comparative analysis with some similar approaches. The proposed approach can evaluate the safety status of aviation emergency rescue operations, which provides a starting point for the improvement of aviation emergency rescue.

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Section: Introductionmentioning

confidence: 99%

An Integrated Multiattribute Group Decision-Making Approach for Risk Assessment in Aviation Emergency Rescue

Wang

Liang

et al. 2022

International Journal of Aerospace Engineering

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“…Nowadays, group decision-making (GDM) is becoming increasingly common in daily life. In GDM process, a collective solution can be obtained by considering more than one decision-makers' opinions [1]. Due to the ambiguity of human being's perception and the uncertainty of decision-making environment, it is natural that decision-makers use linguistic expressions in GDM [2].…”

Section: Introductionmentioning

confidence: 99%

“…Among these studies, hesitant fuzzy linguistic preference relations (HFLPRs) were defined and utilized for dealing with practical GDM problems. Generally speaking, based on the discussion of priority weights derivation, consistency and consensus checking and improving, these researches can be roughly divided into four categories: (1) the priority weights derivation without consistency and consensus. Ren et al [12] introduced a priority weights deriving method by introducing decision-maker's satisfaction degree to measure the differences between the incomplete HFLPRs (IHFLPRs) and its corresponding weight vector.…”

Section: Introductionmentioning

confidence: 99%

“…While significant progress has been made on HFLPRs consistency checking and improving issues, from a practical perspective, some gaps still exist. (1) The methods considering the best, worst and average consistency indexes. These methods developed the consistency checking and improving processes in view of the LPRs derived from the original HFLPRs.…”

Section: Introductionmentioning

confidence: 99%

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Group decision-making with hesitant fuzzy linguistic preference relations in view of worst and average indexes

Niu²,

Chen

et al. 2022

Preprint

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To address the situation where Multi-criteria decision-making (MCDM) problems with hesitant fuzzy linguistic preference relations (HFLPRs), this study introduces a group decision-making method in view of worst and average indexes simultaneously. First, several optimization models for deriving the worst and average additive consistency indexes of HFLPRs are proposed. The main characteristic of the constructed optimization models is that the personalized individual semantics (PISs) model is taken into accounted. And then the concept of acceptable additive consistent HFLPRs is developed, which takes into accounted the worst consistency index (WCI) and average consistency index (ACI). Second, several optimization models are constructed for improving the consistency of HFLPRs. The main characteristic of the constructed optimization models is that two predefined thresholds for the WCI and ACI are considered. It requires the consistency level of all the linguistic preference relations (LPRs) derived from original HFLPR meet the threshold of WCI, and the average consistency level of all LPRs reaches the threshold of ACI. Third, an algorithm is designed for deriving priority weights from acceptable consistent HFLPRs. Finally, the presented models are validated using a numerical example and extensive comparative analyses.

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“…Já o GA é um algoritmo de otimização baseado na genética da evolução natural e de busca global, evitando soluções localmente ideais (OUARDA; BOUAMAR, 2014). Dessa forma, esses dois tipos de algoritmos evolutivos se tornaram os mais aplicados em diversos contextos(ABDELKADER et al 2019;KATOCH et al 2020;, inclusive em problemas de tomada de decisão em grupo(CALACHE et al, 2022). Entretanto, nenhum estudo observado até o momento apresenta uma revisão da literatura sobre esse tema.…”

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Proposta de um modelo híbrido de tomada de decisão em grupo baseado na teoria >i<dual hesitant fuzzy>/i< e algoritmo genético

Calache¹

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A genetic algorithm based on dual hesitant fuzzy preference relations for consensus group decision making

Cited by 19 publications

References 101 publications

An Integrated Multiattribute Group Decision-Making Approach for Risk Assessment in Aviation Emergency Rescue

An Integrated Multiattribute Group Decision-Making Approach for Risk Assessment in Aviation Emergency Rescue

Group decision-making with hesitant fuzzy linguistic preference relations in view of worst and average indexes

Proposta de um modelo híbrido de tomada de decisão em grupo baseado na teoria >i<dual hesitant fuzzy>/i< e algoritmo genético

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