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2018 | Vol. 14 | 21--27
Tytuł artykułu

An Intuitionistic Approach for Ranking OTA Websites under Multi Criteria Group Decision Making Framework

Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Konferencja
International Conference on Information Technology and Knowledge Management (1 ; 22-23.12.2017 ; New Delhi, India)
Języki publikacji
EN
Abstrakty
EN
The transformations from approaches based on crisp set towards fuzzy set were introduced to include the uncertainty experienced in decision making. But the problem of hesitation about any alternative still prevailed among the decision makers. Later, an extension of fuzzy sets, the intuitionistic fuzzy sets, filled the gap between the degree of satisfaction and the degree of dissatisfaction encountered by the decision makers. Also, the biasness noticed while comparing a number of alternatives based on multiple criteria by a single person, necessitated for a multi criteria group decision making (MCGDM) approach. In this paper, we propose a hybrid model that combines the MCGDM techniques of intuitionistic fuzzy analytical hierarch process (IFAHP) and intuitionistic fuzzy multi objective optimization on the basis of ratio analysis (IFMOORA). The IFAHP technique is used to find the criteria weights and IFMOORA technique is used for overall ranking of OTA websites. To validate the proposed model, we apply it to rank online travel agencies (OTA) websites on the basis of a number of success factors. The model developed is flexible and can be further applied to various selection problems.
Wydawca

Rocznik
Tom
Strony
21--27
Opis fizyczny
Bibliogr. 19 poz., tab., wz., wykr.
Twórcy
  • Department of Operational Research, University of Delhi, Delhi, India, anuagg17@gmail.com
autor
autor
Bibliografia
  • 1. D. Aloini, R. Dulmin, V. Mininno, “A Peer IF-TOPSIS based Decision Support System for Packaging Machine Selection”, Expert Systems with Applications, Vol. 41, Issue 5,2014.
  • 2. K. T. Atanassov, “Intuitionistic fuzzy sets”, Fuzzy Sets and Systems, Vol. 20, Issue 1, 1986.
  • 3. F. E. Boran, S. Genç, M. Kurt, D. Akay, “A Multi-criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method”, Expert Systems with Applications, Vol. 36, Issue 8, 2009.
  • 4. G. Büyüközkan, F. Gocer, “An Intuitionistic Fuzzy MCDM Approach for Effective Hazardous Waste Management”, In: Intelligence Systems in Environmental Management: Theory and Applications, Springer International Publishing, 2017.
  • 5. G. Büyüközka, F. Göçer, “Application of a New Combined Intuitionistic Fuzzy MCDM Approach based on Axiomatic Design Methodology for the Supplier Selection Problem”, Applied Soft Computing, Vol. 52, 2017.
  • 6. K. Chatterjee, M. B. Kar, S. Kar, “Strategic Decisions using Intuitionistic Fuzzy VIKOR Method for Information System (IS) outsourcing”, In: Computational and Business Intelligence (ISCBI), IEEE, 2013.
  • 7. R. E. Goldsmith, “Electronic word-of-mouth”, In: Electronic Commerce: Concepts, Methodologies, Tools, and Applications, IGI Global, 2008.
  • 8. Z. Güngör, G. Serhadlıoğlu, S.E. Kesen, “A Fuzzy AHP Approach to Personnel Selection Problem”, Applied Soft Computing, Vol. 9, Issue 2, 2009.
  • 9. E. C. Ku, Y. W. Fan, “The Decision Making in Selecting Online Travel Agencies: An Application of Analytic Hierarchy Process”, Journal of Travel & Tourism Marketing, Vol. 26, Issue 5-6, 2009.
  • 10. H. H. Lee, E. Chang, “Consumer Attitudes toward Online Mass Customization: An Application of Extended Technology Acceptance Model”, Journal of Computer Mediated Communication, Vol. 16, Issue 2, 2011.
  • 11. S. W. Lin, H. P. Fu, “Uncovering Critical Success Factors for Business-to-Customer Electronic Commerce in Travel Agencies”, Journal of travel & tourism marketing, Vol. 29, Issue 6, 2012.
  • 12. Molla, P. S. Licker, “E-commerce Systems Success: An Attempt to Extend and Respecify the Delone and McLean Model of IS Success”, J. Electron. Commerce Res., Vol. 2, Issue 4, 2001.
  • 13. I. J. Pérez, F. J. Cabrerizo, E. Herrera-Viedma, “Group Decision Making Problems in a Linguistic and Dynamic Context”, Expert Systems with Applications, Vol. 38, Issue 3, 2011.
  • 14. T. L. Saaty, “Analytic Hierarchy Process”, John Wiley & Sons Ltd, 1980.
  • 15. E. N. Weiss, V.R. Rao, “AHP Design Issues for Large‐Scale Systems”, Decision Sciences, Vol. 18, Issue 1, 1987.
  • 16. Z. Xu, “Intuitionistic Preference Relations and their Application in Group Decision Making”, Information Sciences, Vol. 177, Issue 11, 2007.
  • 17. M. Yazdani, “New Intuitionistic Fuzzy Approach with Multi-objective Optimisation on the Basis of Ratio Analysis Method”, International Journal of Business and Systems Research, Vol. 9, Issue 4, 2015.
  • 18. Z. Yue, “An Intuitionistic Fuzzy Projection-based Approach for Partner Selection”, Applied Mathematical Modelling, Vol. 37, Issue 23, 2013.
  • 19. L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, Issue 3, 1965.
Uwagi
1. Preface
2. Technical Session: First International Conference on Information Technology and Knowledge Management
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-70e73d59-93e2-4f9e-ad3a-687ec67d4741
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