Fuzzy Vikor Approach: Evaluating Quality of Internet Health Information

• Autorzy: Eric Afful-Dadzie , Stephen Nabareseh , Zuzana Komínková Oplatková
• Języki publikacji: EN

Abstrakty

EN

Proliferation of health related information on the internet is both welcoming and a concern. For instance when solicited information goes wrong, it tends to have dire consequences on the general public. Assessing the quality of internet health information is often difficult but a rational and systematic approach can be useful in evaluating the quality of the services they render to the public. The paper proposes a fuzzy VIKOR framework for evaluating and ranking internet health information providers under a fuzzy environment where uncertainties and subjectivities are catered 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. A numerical example is demonstrated using HIV/AIDS online information providers in the most adult prevalent country in the world. The proposed method is compared with TOPSIS and can be applied in evaluating the quality of other specific internet health information providers.(original abstract)

Słowa kluczowe

EN

Internet; e-health; Information quality; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

PL

Internet; e-zdrowie; Jakość informacji; Metoda TOPSIS

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2014
• Tom: 2
• Strony: 183--190

Twórcy

autor

Eric Afful-Dadzie

• Tomas Bata University in Zlín, Czech Republic

autor

Stephen Nabareseh

• Tomas Bata University in Zlín, Czech Republic

autor

Zuzana Komínková Oplatková

• Tomas Bata University in Zlín, Czech Republic

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