Fuzzy Vikor Approach: Evaluating Quality of Internet Health Information

Afful-Dadzie, Eric; Nabareseh, Stephen; Oplatková, Zuzana Komínková

doi:10.15439/2014f203

Cited by 31 publications

(19 citation statements)

References 45 publications

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“…The steps of Fuzzy VIKOR have been followed as suggested by Tzeng (2004, 2007) and Afful-Dadzie et al (2014). In the current study, the firm intends to select the analyst having expertise in big data and analytics and specifically knows the application in purchasing and supply chain management.…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

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Fuzzy VIKOR approach for selection of big data analyst in procurement management

Bag¹

2016

Journal of Transport and Supply Chain Management

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Background: Big data and predictive analysis have been hailed as the fourth paradigm of science. Big data and analytics are critical to the future of business sustainability. The demand for data scientists is increasing with the dynamic nature of businesses, thus making it indispensable to manage big data, derive meaningful results and interpret management decisions.Objectives: The purpose of this study was to provide a brief conceptual review of big data and analytics and further illustrate the use of a multicriteria decision-making technique in selecting the right skilled candidate for big data and analytics in procurement management.Method: It is important for firms to select and recruit the right data analyst, both in terms of skills sets and scope of analysis. The nature of such a problem is complex and multicriteria decision-making, which deals with both qualitative and quantitative factors. In the current study, an application of the Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method was used to solve the big data analyst selection problem.Results: From this study, it was identified that Technical knowledge (C1), Intellectual curiosity (C4) and Business acumen (C5) are the strongest influential criteria and must be present in the candidate for the big data and analytics job.Conclusion: Fuzzy VIKOR is the perfect technique in this kind of multiple criteria decisionmaking problematic scenario. This study will assist human resource managers and procurement managers in selecting the right workforce for big data analytics.

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Section: Data Analysis and Resultsmentioning

confidence: 99%

“…In Table 10, the best ranked candidate is X2 which happens to be the best compromise solution (Afful-Dadzie et al 2014).…”

Section: Linguistic Terms Corresponding Fuzzy Numbersmentioning

confidence: 99%

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Fuzzy VIKOR approach for selection of big data analyst in procurement management

Bag¹

2016

Journal of Transport and Supply Chain Management

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“…Sahin et al (2019) studied a decision support model for site selection to establish a new hospital based on the analytic hierarchy process (AHP). Dadzie et al (2014) studied a Fuzzy-VIKOR frame for measuring and ranking internet health data providers down a fuzzy environment in which uncertainties and subjectivities are provided for with linguistic variables. Linguistic variables with Triangular Fuzzy Numbers (TFN) are used to evaluate weights of the evaluation criteria and the rankings of each internet health information provider.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Modelling of Citizen-Centered Group Decision Making Using Fuzzy-Vikor Case Study: Site Selection of Healthcare Services

Samani

Alesheikh

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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The participation of citizens in decision-making processes is one of the main concerns in urban planning. People's contributions increase the usability and efficiency of urban facilities. Hospitals and healthcare services are among the most important public facilities that citizens require. This paper aims to improve an approach that could locate the hospitals according to the citizens' preferences. Decision-making process in this situation should consider the uncertainties exist in any steps of decisions-making. In this regard, this paper applied Fuzzy-VIKOR method that is appropriate to model such kind of uncertainty. The proposed method was accomplished in Districts 6 of Tehran province. The achieved results were compared with each other in two different scenario (using expert knowledge and citizens' satisfaction). The comparison of the results showed that the more suitable distribution and density of proposed sites for hospitals must be observed if the citizens' perspectives were considered. Also, the proposed sites with experts follow urban planning principals rather than the second case.

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“…In [8] existent question-answering system based on principles of evidence based medicine is presented. Study [11] describes a fuzzy VIKOR framework for ranking internet health information providers.…”

Section: Introductionmentioning

confidence: 99%

The data retrieval optimization from the perspective of evidence-based medicine

Dobrynin¹,

Balykina²,

Kamalov³

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-The paper is devoted to classification of MEDLINE abstracts into categories that correspond to types of medical interventions -types of patient treatments. This set of categories was extracted from Clinicaltrials.gov web site. Few classification algorithms were tested including Multinomial Naive Bayes, Multinomial Logistic Regression, and Linear SVM implementations from sklearn machine learning library. Document marking was based on the consideration of abstracts containing links to the Clinicaltrials.gov Web site. As the result of an automatical marking 3534 abstracts were marked for training and testing the set of algorithms metioned above. Best result of multinomial classification was achieved by Linear SVM with macro evaluation precision 70.06%, recall 55.62% and F-measure 62.01%, and micro evaluation precision 64.91%, recall 79.13% and F-measure 71.32%.

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Fuzzy Vikor Approach: Evaluating Quality of Internet Health Information

Cited by 31 publications

References 45 publications

Fuzzy VIKOR approach for selection of big data analyst in procurement management

Fuzzy VIKOR approach for selection of big data analyst in procurement management

Uncertainty Modelling of Citizen-Centered Group Decision Making Using Fuzzy-Vikor Case Study: Site Selection of Healthcare Services

The data retrieval optimization from the perspective of evidence-based medicine

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