Tourism Destination Selection by Utilizing the Fuzzy Preference Relations

Article Preview

Abstract:

Tourist attraction not only plays an important part in sightseeing, but also is the major cause that constitutes tourist products as well as the main consideration when tourists choose tourist products or travel destinations. This paper utilizes the fuzzy preference relations to select a travel location. Pairwise comparisons are conducted to obtain the importance weights of evaluation criteria and the performance rating of alternative locations. By multiplying the importance weights of evaluation criteria and the performance rating, a performance value is determined to rank the alternative locations. Compared with the AHP, the major contributions of this proposed framework are: 1) it just takes comparisons rather than comparisons to obtain a complete decision matrix which has elements; 2) This study identifies the factors that influence the tourists' choice of destination and evaluates the preferences of tourists for destinations.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

537-543

Citation:

Online since:

March 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] T. -K. Hsu, Y. -F. Tsai, and H. -H. Wu, The preference analysis for tourist choice of destination: A case study of Taiwan, Tourism Management, vol. 30, pp.288-297, (2009).

DOI: 10.1016/j.tourman.2008.07.011

Google Scholar

[2] S. Jang and C. -M. E. Wu, Seniors' travel motivation and the influential factors: An examination of Taiwanese seniors, Tourism Management, vol. 27, pp.306-316, (2006).

DOI: 10.1016/j.tourman.2004.11.006

Google Scholar

[3] T. Bornhorst, J. R. Brent Ritchie, and L. Sheehan, Determinants of tourism success for DMOs & destinations: An empirical examination of stakeholders' perspectives, Tourism Management, vol. 31, pp.572-589, (2010).

DOI: 10.1016/j.tourman.2009.06.008

Google Scholar

[4] R. Nicoletta and R. Servidio, Tourists' opinions and their selection of tourism destination images: An affective and motivational evaluation, Tourism Management Perspectives, vol. 4, pp.19-27, (2012).

DOI: 10.1016/j.tmp.2012.04.004

Google Scholar

[5] S. Um and J. L. Crompton, Attitude determinants in tourism destination choice, Annals of Tourism Research, vol. 17, pp.432-448, (1990).

DOI: 10.1016/0160-7383(90)90008-f

Google Scholar

[6] J. L. Crompton and P. K. Ankomah, Choice set propositions in destination decisions, Annals of Tourism Research, vol. 20, pp.461-476, (1993).

DOI: 10.1016/0160-7383(93)90003-l

Google Scholar

[7] E. Herrera-Viedma, F. Herrera, F. Chiclana, and M. Luque, Some issues on consistency of fuzzy preference relations, European Journal of Operational Research, vol. 154, pp.98-109, (2004).

DOI: 10.1016/s0377-2217(02)00725-7

Google Scholar

[8] F. Chiclana, F. Herrera, and E. Herrera-Viedma, Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations, Fuzzy Sets and Systems, vol. 97, pp.33-48, (1998).

DOI: 10.1016/s0165-0114(96)00339-9

Google Scholar

[9] F. Chiclana, F. Herrera, and E. Herrera-Viedma, Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations, Fuzzy Sets and Systems, vol. 122, pp.277-291, (2001).

DOI: 10.1016/s0165-0114(00)00004-x

Google Scholar

[10] F. Herrera and E. Herrera-Viedma, Choice functions and mechanisms for linguistic preference relations, European Journal of Operational Research, vol. 120, pp.144-161, (2000).

DOI: 10.1016/s0377-2217(98)00383-x

Google Scholar

[11] F. Herrera, E. Herrera-Viedma, and F. Chiclana, Multiperson decision-making based on multiplicative preference relations, European Journal of Operational Research, vol. 129, pp.372-385, (2001).

DOI: 10.1016/s0377-2217(99)00197-6

Google Scholar

[12] F. Herrera, E. Herrera-Viedma, and J. L. Verdegay, A sequential selection process in group decision making with a linguistic assessment approach, Information Sciences, vol. 85, pp.223-239, (1995).

DOI: 10.1016/0020-0255(95)00025-k

Google Scholar

[13] F. Herrera, E. Herrera-Viedma, and J. L. verdegay, A model of consensus in group decision making under linguistic assessments, Fuzzy Sets and Systems, vol. 78, pp.73-87, (1996).

DOI: 10.1016/0165-0114(95)00107-7

Google Scholar

[14] F. Herrera, E. Herrera-Viedma, and J. L. Verdegay, A rational consensus model in group decision making using linguistic assessments, Fuzzy Sets and Systems, vol. 88, pp.31-49, (1997).

DOI: 10.1016/s0165-0114(96)00047-4

Google Scholar

[15] T. Tanino, Fuzzy preference orderings in group decision making, Fuzzy Sets and Systems, vol. 12, pp.117-131, (1984).

DOI: 10.1016/0165-0114(84)90032-0

Google Scholar

[16] Z. Switalski, General transitivity conditions for fuzzy reciprocal preference matrices, Fuzzy Sets and Systems, vol. 137, pp.85-100, (2003).

DOI: 10.1016/s0165-0114(02)00434-7

Google Scholar

[17] F. Chiclana, F. Herrera, E. Herrera-Viedma, and L. Martínez, A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators, Fuzzy Sets and Systems, vol. 137, pp.71-83, (2003).

DOI: 10.1016/s0165-0114(02)00433-5

Google Scholar

[18] T. L. Saaty, Exploring the interface between hierarchies, multiple objectives and fuzzy sets, Fuzzy Sets and Systems, vol. 1, pp.57-68, (1978).

DOI: 10.1016/0165-0114(78)90032-5

Google Scholar