Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications

Author:

Krishnan Elaiyaraja1ORCID,Mohammed Rawia1ORCID,Alnoor Alhamzah2ORCID,Albahri Osamah Shihab1ORCID,Zaidan Aws Alaa1ORCID,Alsattar Hassan1ORCID,Albahri Ahmed Shihab13ORCID,Zaidan Bilal Bahaa14ORCID,Kou Gang5ORCID,Hamid Rula A.6ORCID,Alamoodi Abdullah Hussein1ORCID,Alazab Mamoun7ORCID

Affiliation:

1. Department of Computing, Faculty of Arts, Computing and Creative Industry Sultan Idris Education University Tanjung Malim Malaysia

2. School of Management Universiti Sains Malaysia Pulau Pinang Malaysia

3. Informatics Institute for Postgraduate Studies (IIPS) Iraqi Commission for Computers and Informatics (ICCI) Baghdad Iraq

4. Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan, ROC

5. School of Business Administration Southwestern University of Finance and Economics Chengdu China

6. College of Business Informatics University of Information Technology and Communications (UOITC) Baghdad Iraq

7. College of Engineering, IT and Environment Charles Darwin University NT Australia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference149 articles.

1. How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management

2. Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices

3. BodkheU BhattacharyaP TanwarS TyagiS KumarN ObaidatMS. Blohost: Blockchain enabled smart tourism and hospitality management. In:2019 International Conference on Computer Information and Telecommunication Systems (CITS);2019:1‐5. IEEE.

4. 2050 - Tomorrow's Tourism

5. Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

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