Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing

Liao, Huchang; Mi, Xiaomei; Yu, Qin; Luo, Li

doi:10.1016/j.jclepro.2019.05.308

Cited by 105 publications

(63 citation statements)

References 47 publications

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“…Hafezalkotob, A. Hafezalkotob, Liao, and Herrera (2019) proposed the group interval BWM and combined the interval MULTIMOORA (multi-objective optimization based on ratio analysis with multiplication form) method to address engineering selection problem. Liao, Mi, Yu, and Luo (2019a) developed the hesitant fuzzy linguistic BWM for hospital performance evaluation. Brunelli and Rezaei (2019) introduced a new metric into the BWM to make it more mathematically reasonable.…”

Section: Study Backgroundmentioning

confidence: 99%

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

Yazdani

Wen

Liao

et al. 2019

Journal of Civil Engineering and Management

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138

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This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

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Section: Study Backgroundmentioning

confidence: 99%

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

Yazdani

Wen

Liao

et al. 2019

Journal of Civil Engineering and Management

Self Cite

138

View full text Add to dashboard Cite

show abstract

“…x N ij (11) where g denotes the cardinality of beneficial attributes, in turn, the cardinality of cost attributes is (n − g). The ranking of final results in descending order denotes, as follows:…”

Section: Definition 5 ([14]mentioning

confidence: 99%

“…Liao et al [3] defined correlation measures and correlation coefficients for HFLTS. Afterward, a great many of researches achieve success by combining with other classical methods, such as TOPSIS [6], VIKOR [7], TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) [8], ELECTRE [9], PROMETHEE [10], et al Besides, these MADM methods have already made an achievement in the field of hospital performance evaluation [11], personnel selecting problem [12], sustainable supplier selection [13], et al…”

Section: Introductionmentioning

confidence: 99%

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Luo

2019

Mathematics

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The sustainable third-party reverse logistics provider (3PRLP) selection, as the core of sustainable supply chain management, has become paramount in research nowadays. In the actual evaluation process, the decision makers may hesitate in a few linguistic terms and have different partiality towards each term, hence the possibility distribution based hesitant fuzzy linguistic term sets (PDHFLTSs), as expressed by a consecutive or non-consecutive linguistic term set, is suitable for such an evaluation. The purpose of this paper is to solve sustainable 3PRLP selection problems with linguistic information by developing an effective and robust method. We firstly redefine the covariance-based correlation coefficient that can simplify the computation to calculate the consensus degree, and then introduce the hesitant degree in context of possibility distribution information, in order to enrich measures of PDHFLTSs. On this basis, the weights of experts are computed for expression aggregation. Secondly, to overcome attributes’ weights staying constant, the combination of group utility function and variable weight approach is introduced to give the weights of attributes. Most importantly, a decision method, called MULTIMOORA, is optimized by improving the ranking position method, and then, through the combination with PDHFLTS, we proposed a possibility distribution based hesitant fuzzy linguistic MULTIMOORA method with great robustness. At last, the presented method is applied to the field of sustainable third-party reverse logistics provider selection in the e-commerce express industry and the effectiveness is verified by several comparative analyses.

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“…Unlike in the traditional probability theory, in DST, Dempster's rule could be employed to synthesize the knowledge of different experts or information sources in the absence of prior information. Based on the above advantages, DST is widely applied in large quantities of fields, such as multiple criteria decision‐making and multisensor data fusion …”

Section: Introductionmentioning

confidence: 99%

On combination rule in Dempster–Shafer theory using OWA‐based soft likelihood functions and its applications in environmental impact assessment

Fei

2019

Int J Intell Syst

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Dempster–Shafer theory (DST) was presented as an effective mathematical tool to represent uncertainty. Its significant innovation is to allow the allocation of the belief of mass to sets or intervals, and it becomes a valuable method in the field of decision making and evaluation when accurate information is not available or when knowledge is expressed subjectively by humans. A crucial research issue in DST is the combination of multi‐sources of evidence. In this paper, a novel combination rule for Dempster–Shafer structures is developed based on ordered weighted average (OWA)‐based soft likelihood functions proposed by Yager. First, the belief intervals, including the belief measures and plausibility measures, of all the hypotheses in the frame of discernment (FOD) are calculated. Second, the representative value of belief interval is defined based on golden rule introduced by Yager. Third, the soft likelihood value of each hypothesis is calculated based on the proposed OWA‐based soft likelihood function for belief interval, which can be considered as the combined evidence. The final evaluation results can be employed for practical applications, such as decision making and evaluation. In addition, the improved evidence combination rule is presented which takes into account the weight of evidence. Several illustrative examples are conducted to manifest the use of the developed methods. Finally, an application for environmental impact assessment is given to demonstrate the usefulness of the developed combination rule in DST.

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Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing

Cited by 105 publications

References 47 publications

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

On combination rule in Dempster–Shafer theory using OWA‐based soft likelihood functions and its applications in environmental impact assessment

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