Addressing site selection for earthquake shelters with hesitant multiplicative linguistic preference relation

Wu, Hangyao; Ren, Peijia; Zhang, Xu

doi:10.1016/j.ins.2019.12.059

Cited by 20 publications

(10 citation statements)

References 28 publications

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“…3) Investigate new algorithms for group decision making problems to tackle practical problems [60][61][62].…”

Section: Discussionmentioning

confidence: 99%

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

Chiclana

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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This paper investigates multiplicative consistency ascertaining, inconsistency repairing and weights derivation for hesitant multiplicative preference relations (HMPRs). Firstly, the completely multiplicative consistency and weakly multiplicative consistency of HMPRs are defined. Based on them, 0-1 mixed programming models and simple algebraic operations are proposed to ascertain the multiplicative consistency of HMPRs. Then, some goal programming models are developed to generate the weights from consistent HMPRs and to revise inconsistent HMPRs. An integrated procedure to manage the multiplicative consistencies of HMPRs is designed. The proposed methods are also extended to accommodate incomplete HMPRs, and to estimate missing values. Finally, some numerical examples, a comparative analysis with existent approaches, and a simulation analysis are included to illustrate the practicality and effectiveness of the developed models.

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“…3) Investigate new algorithms for group decision making problems to tackle practical problems [60][61][62].…”

Section: Discussionmentioning

confidence: 99%

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

Chiclana

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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“… [4] investigated a multi-criteria group decision making (MCGDM) method and applied it to locate makeshift (Fangcang) hospitals, they overlooked the upper and lower heights of TrIT2FSs. Considering that Fangcang hospital is also a special form of emergency shelters, some studies [48] , [49] , [50] , [51] , [52] concerning the site selection of emergency shelters are also reviewed. These studies mainly focused on the location of emergency shelters for post-natural disaster rescue operations.…”

Section: Literature Review and Contributions Of This Papermentioning

confidence: 99%

An efficiency-based interval type-2 fuzzy multi-criteria group decision making for makeshift hospital selection

Chen

Wan

Dong

2022

Applied Soft Computing

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Since makeshift hospitals have strong ability in blocking the spread of the virus, how to design some methods to select the reasonable sites of makeshift hospitals is vitally important for containing COVID-19. This paper investigates an efficiency-based multi-criteria group decision making (MCGDM) method by combining the best-worst method (BWM) and data envelopment analysis (DEA) in trapezoidal interval type-2 fuzzy (TrIT2F) environment. This MCGDM method is called TrIT2F-BWM-DEA , where the TrIT2F-BWM is used to determine the weights of criteria and decision-makers, and the TrIT2F-DEA is employed to rank alternatives by measuring their overall efficiencies. Based on cut set theory, the expectation and average expectation (AE) of TrIT2FSs are successively defined. To solve three key issues in the development of the TrIT2F-BWM , this paper proposes a flexible ranking relation of TrIT2FSs to transform the TrIT2F constraints, initiates an efficient theorem to normalize the TrIT2F weights, and designs an input-based consistency ratio to check the reliability of the determined weights. A fully TrIT2F-DEA model is originally built to measure the TrIT2F efficiencies of alternatives. The alternatives are finally ranked according to the AEs of alternatives’ TrIT2F efficiencies. A site selection case of Fangcang hospitals and some comparative analyses are provided to confirm the validity and merits of the proposed TrIT2F-BWM-DEA .

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“…HFLTSs have attracted much attention from scholars and researchers in the decision‐making field 30 . Many variants of HFLTSs have been put forward, such as the double hierarchy linguistic term set (LTS), 31,32 unbalanced HFLTS, 33 hesitant probabilistic fuzzy linguistic set, 34 and hesitant multiplicative LTSs 35 . HFLTSs have various applications, such as the evaluation of landfill sites, 36 medicine selection, 37 recommender system, 38 and healthcare service 39 …”

Section: Literature Reviewmentioning

confidence: 99%

“…30 Many variants of HFLTSs have been put forward, such as the double hierarchy linguistic term set (LTS), 31,32 unbalanced HFLTS, 33 hesitant probabilistic fuzzy linguistic set, 34 and hesitant multiplicative LTSs. 35 HFLTSs have various applications, such as the evaluation of landfill sites, 36 medicine selection, 37 recommender system, 38 and healthcare service. 39 To handle the unique structure of HFLTSs, various decision-making methods have been proposed, such as the MULTIMOORA method, 40 aggregation operators, 28 TOPSIS method, 41 VIKOR method, 42,43 EDAS method, 44 and ELECTRE II method.…”

Section: Studies On Handling Hfltssmentioning

confidence: 99%

Evaluation of startup companies using multicriteria decision making based on hesitant fuzzy linguistic information envelopment analysis models

Lin

Chen

et al. 2021

Int J Intell Syst

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Evaluating startup companies is an important management process for technology business incubators and it is also a typical multicriteria decision‐making (MCDM) problem. There exist various methods that have proposed to solve MCDM problems, but these methods heavily depend on the exact criteria weight values. The decision results of these methods are unstable. Moreover, they cannot provide the improvement suggestions for the nonoptimal startup companies. To overcome these two drawbacks, we propose a novel hesitant fuzzy linguistic decision‐making method to solve the problem of evaluating startup companies. To this end, a novel semantic comparison method based on the experts' psychology and the ratio of score value to deviation degree is proposed to compare the hesitant fuzzy linguistic term sets. Then, a novel definition of hesitant fuzzy linguistic information envelopment efficiency (HFLIEE) is proposed, based on which, a novel hesitant fuzzy linguistic information envelopment analysis (HFLIEA) model and a novel preference model are proposed. By solving these models, all the alternatives can be ranked and nonoptimal alternatives can be improved. Finally, the numerical analysis is given to illustrate the applicability of the proposed models and the robustness analyses of the proposed models are provided. At the same time, they are compared with the previous hesitant fuzzy linguistic decision‐making methods.

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Addressing site selection for earthquake shelters with hesitant multiplicative linguistic preference relation

Cited by 20 publications

References 28 publications

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

An efficiency-based interval type-2 fuzzy multi-criteria group decision making for makeshift hospital selection

Evaluation of startup companies using multicriteria decision making based on hesitant fuzzy linguistic information envelopment analysis models

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