New doctors ranking system based on VIKOR method

Hu, Junhua; Zhang, Xiaohong; Yan, Yang; Liu, Yongmei; Chen, Xiaohong

doi:10.1111/itor.12569

Cited by 81 publications

(38 citation statements)

References 62 publications

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“…Subsequently, both qualitative and quantitative data can be considered in the meantime to strengthen the completeness of information expression. Ultimately, the proposed QFD can be applied to improve operational services or product design, such as medical services [55], industrial wastewater management [56], and energy selection [57].…”

Section: Discussionmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

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Quality function deployment (QFD) is a useful design quality control tool in service enterprises and manufacturing enterprises. However, there are several issues in extant QFD frameworks, that is, in three aspects: description of evaluation information, weight determination of expert team members (TMs), and weight identification of customer requirements (CRs). In order to address these issues, a novel QFD framework is first proposed utilizing linguistic Z-numbers (LZNs) with integrated subjective and objective weights of TMs and CRs. The LZNs can represent uncertain information and the reliability of information in a specific way while the fuzzy numbers cannot. Moreover, the order relation analysis (G1) method and improved maximum consensus (MC) method are developed to get the subjective and objective weights of TMs, respectively. Further, the step-wise weight assessment ratio analysis (SWARA) method and statistical distance (SD) method are studied to acquire combined weights of CRs. Next, the proposed QFD framework is applied to a case of logistics service provider, which illustrates the availability and utility of the framework. Then, a sensitivity analysis is conducted to prove the reliability of the framework. Finally, two comparative analyses are performed to declare the advantages of the framework. Results indicate the proposed QFD framework is better than existing models.

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Section: Discussionmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

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“…Other methods are adopted to show the validity of this model. According to the proposed method, the rankings are obtained (Table ) based on TOPSIS (Mardani et al, ), VIKOR (Hu, Zhang, Yang, Liu, & Chen, ), and the extended TODIM. Different parameter values of v in the VIKOR method will result in differences in the final sorting results, which are shown in Figure .…”

Section: Case Studymentioning

confidence: 99%

“…Comparisons are conducted in the decision‐making procedure. Finally, the extended TODIM method is accurate. Compared with the VIKOR method (Hu, Zhang, et al, ), the parameter v is the weight for the strategy with the maximum group utility and is always determined by experts. Figure shows that the rankings from VIKOR are sensitive to the values of v .…”

Section: Case Studymentioning

confidence: 99%

Multi‐criteria group decision‐making method based on TODIM with probabilistic interval‐valued hesitant fuzzy information

Zhang

Wang

2019

Expert Systems

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Probabilistic interval‐valued hesitant fuzzy sets (PIV‐HFSs) are suitable for aggregating information from different groups because the probabilistic information of all the groups can be included by using interval values. Moreover, decision makers (DMs) prefer to use interval values to provide evaluation information. Furthermore, the traditional multi‐criteria group decision‐making (MCGDM) approach has some limitations, such as obtaining the DMs' weights with inappropriate methods and neglecting the interactions amongst the criteria and the psychological characteristics of DMs. Motivated by these research background, the main contents of this study are as follows. First, PIV‐HFSs are proposed, and the convex combination operation is extended into PIV‐HFSs. Second, a hybrid MCGDM approach with PIV‐HFSs is suggested that is based on the maximizing deviation method, fuzzy analytic network process (FANP) and TODIM (an acronym in Portuguese for interactive and multi‐criteria decision‐making model). Third, an evaluation case of health management centres based on the service‐specific failure mode and effect analysis (FMEA) is considered. The results show that the most crucial secondary factor is frequency (0.35775) and that the most serious failure mode is the inaccurate check‐in. The results demonstrate that the proposed model can evaluate service quality effectively and that it performs better than other methods.

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“…Huang, Liu, Pan, and Lin (2012) presented a doctor recommendation algorithm considering doctor performances and patient preferences and applied it into the Shanghai Medical League Appointment Platform. Hu, Pan, and Chen (2017) and Hu, Zhang, Yang, Liu, and Chen (2018) tried to apply the VIKOR to physician recommendation problem.…”

Section: Rssmentioning

confidence: 99%

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

Yan

Liu

et al. 2019

Expert Systems

Self Cite

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Patients always want a precise diagnosis and appropriate treatment advice when they are diagnosed with a disease. Furthermore, the original information about certain features and symptoms appears in different forms, and the effect of time is always ignored in the process of diagnosis. To overcome these defects, this paper develops a systematic multiperiod hybrid decision support model, which combines the similarity measurement and three‐way decision theory to provide prediction and treatment advice for patients under the fuzzy environment. This multiperiod hybrid decision support model, which considers the effect of time, including transformation module, multiperiod integration module, similarity module, prediction module, and three‐way decision module, provides disease prediction and advice on treatment based on similarities and three‐way decision theory. To validate this model, we construct an illustration composed of four cases, and this ultimately shows that MPH‐SDM can effectively support patients' disease diagnoses and treatment.

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New doctors ranking system based on VIKOR method

Cited by 81 publications

References 62 publications

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Multi‐criteria group decision‐making method based on TODIM with probabilistic interval‐valued hesitant fuzzy information

A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three‐way decision theory

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