Abstract—Evaluating and selecting the most suitable hotel
location for development is complex and challenging. To
effectively deal with this problem, this paper presents an
interval-valued intuitionistic fuzzy multicriteria group decision
making approach for evaluating and selecting hotel locations.
The subjectiveness and imprecision of the decision making
process are adequately modeled by the use of interval-valued
based intuitionistic fuzzy numbers. The concept of ideal
solutions is adopted for determining the overall performance of
each alternative hotel location across all the selection criteria on
which the final decision is made. An example is presented for
demonstrating the applicability of the proposed approach for
solving real world hotel location selection problems.
Index Terms—Group decision making, hotel evaluation and
selection, interval-valued based intuitionistic fuzzy numbers,
subjectiveness and imprecision.
Santoso Wibowo is with the School of ICT, Central Queensland
University, Melbourne, VIC 3000 Australia
(e-mail:s.wibowo1@cqu.edu.au).
Cite:Santoso Wibowo, "Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection," International Journal of Machine Learning and Computing vol. 3, no. 1, pp. 65-69, 2013.