Using Fuzzy Preference Method for Group Package Tour Based on the Risk Perception

Group Decision and Negotiation

Volumn 23, Issue 2, 2014, Pages 299-323

  Hsu, Tsuen Ho ^a   Lin, Ling Zhong ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b Shih Chien University Kaohsiung Campus ^*  (Taiwan)

Author keywords

Fuzzy PROMETHEE; Group package tour; Risk perception

Indexed keywords

EID: 84893740109     PISSN: 09262644     EISSN: 15729907     Source Type: Journal    
DOI: 10.1007/s10726-012-9313-7     Document Type: Article

References (104)

1. Albadvi A (2004) Formulating national information technology strategies: a preference ranking model using PROMETHEE method. Eur J Oper Res 153: 290-296.
2. Albadvi A, Chaharsooghi SK, Esfahanipour A (2007) Decision making in stock trading: an application of PROMETHEE. Eur J Oper Res 177: 673-683.
3. Asady B, Zendehnam A (2007) Ranking fuzzy numbers by distance minimizing. Appl Math Model 31: 2589-2598.
4. Baldwin JF, Guild NCF (1979) Comparison of fuzzy numbers on the same decision space. Fuzzy Set Syst 2: 213-233.
5. Bauer RA (1960) Consumer behavior as risk taking. In: Hancock RS (ed) Dynamic marketing for a changing world. American Marketing Association, Chicago, pp 389-398.
6. Behzadian M, Kazemzadeh RB, Albadvi A, Aghdasi M (2010) PROMETHEE: a comprehensive literature review on methodologies and applications. Eur J Oper Res 200: 198-215.
7. Belton V, Stewart T (2002) Multicriteria decision analysis: an integrated approach. Kluwer, Boston.
8. Bettman JR (1973) Perceived risk and its components: a model and empirical test. J Market Res 10(2): 184-190.
9. Bilsel RU, Büyüközkan G, Ruan D (2006) A fuzzy preference-ranking model for a quality evaluation of hospital web sites. Int J Intell Syst 21: 1181-1197.
10. Bouyssou D (2005) Conjoint measurement tools for MCDM. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer Science, Business Media, Inc., Boston, pp 73-130.
11. Brans JP, Mareschal B (2005) PROMETHEE methods. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer Science, Business Media Inc., Boston, pp 163-195.
12. Brans JP, Vincke PH (1985) A preference ranking organization method. Manage Sci 31: 647-656.
13. Brans JP, Mareschal B, Vincke P (1984) PROMETHEE: a new family of outranking methods in multicriteria analysis. Operational Research '84. Elsevier Science Publishers B. V., North Holland, pp 408-421.
14. Brans JP, Vincke PH, Mareschal B (1986) How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res 24: 228-238.
15. Buckley JJ, Chanas S (1989) A fast method of ranking alternatives using fuzzy numbers (Short communications). Fuzzy Set Syst 30: 337-339.
16. Campos L, Gonzalez A (1989) A subjective approach for ranking fuzzy numbers. Fuzzy Set Syst 29: 145-153.
17. Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making methods and applications. Lecture Notes in Economics and Mathematical Systems. Springer, New York.
18. Cheng CH (1999) Ranking alternatives with fuzzy weights using maximizing set and minimizing set. Fuzzy Set Syst 105: 365-375.
19. Cho J, Lee J (2006) An integrated model of risk and risk-reducing strategies. J Bus Res 59(1): 112-120.
20. Choobineh F, Li H (1993) An index for ordering fuzzy numbers. Fuzzy Set Syst 54: 287-294.
21. Chou TY, Lin WT, Lin CY, Chou WC (2007) Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: a case study in Shihmen Reservoir Watershed, Taiwan. Ecol Eng 31: 269-280.
22. Chu T, Tsao C (2002) Ranking fuzzy numbers with an area between the centroid point and original points. Comput Math Appl 43: 111-117.
23. Cohen E (1972) Towards a sociology of international tourism. Sociol Res 39(1): 164-182.
24. Dagdeviren M (2008) Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. J Intell Manuf 19: 397-406.
25. Decrop A (1999) Triangulation in qualitative tourism research. Tour Manage 20(1): 157-161.
26. Delgado M, Verdegay JL, Villa MA (1988) A procedure for ranking fuzzy numbers using fuzzy relations. Fuzzy Set Syst 26: 229-241.
27. Deng Y, Liu Q (2005) A TOPSIS-based centroid-index ranking method of fuzzy numbers and it's application in decision-making. Cybern Syst 36(7): 581-595.
28. Detyniecki M, Yager RR (2000) Ranking fuzzy numbers using α-weighted valuations. Int J Uncertainty Fuzziness Knowl Based Syst 8(5): 573-591.
29. Doumpos M, Zopounidis C (2004) A multicriteria classification approach based on pairwise comparisons. Eur J Oper Res 158: 378-389.
30. Dowling GR, Staelin R (1994) A model of perceived risk and intended risk handling activity. J Cons Res 21(1): 119-134.
31. Dubois D, Prade H (1999) A unified view of ranking techniques for fuzzy numbers. In: Proceedings of 1999 IEEE international conference on fuzzy systems, Seoul, vol 3, pp 1328-1333.
32. Dubois D, Prade H (1983) Ranking of fuzzy numbers in the setting of possibility theory. Inf Sci 30: 183-224.
33. Dyer JS (1990) Remarks on the analytic hierarchy process. Manage Sci 36(3): 249-258.
34. Efstathiou J, Tong R (1980) Ranking fuzzy sets using linguistic preference relations. In: Proceedings of 10th international symposium on multiple-valued logic, Northwestern University Evanston, pp 137-142.
35. Facchinetti G, Ricci RG (2004) A characterization of a general class of ranking functions on triangular fuzzy numbers. Fuzzy Set Syst 146: 297-312.
36. Figueria J (2005) ELECTRE methods. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer Science, Business Media, Inc., Boston, pp 133-162.
37. Fortemps P, Roubens M (1996) Ranking and deffuzi1cation methods based on area compensation. Fuzzy Set Syst 82: 319-330.
38. Gal SG (2000) Approximation theory in fuzzy setting. In: Anastassiou GA (ed) Handbook of analytic-computational methods in applied mathematics. Chapman Hall/CRC Press, London/Boca Raton, pp 617-666.
39. Geldermann J, Spengler T, Rentz O (2000) Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Set Syst 115: 45-65.
40. Goumas M, Lygerou V (2000) An extension of the PROMETHEE method for decision making in fuzzy environment: ranking of alternative energy exploitation projects. Eur J Oper Res 123: 606-613.
41. Halouani N, Chabchoub H, Martel JM (2009) PROMETHEE-MD-2T method for project selection. Eur J Oper Res 195: 841-849.
42. Holsti OR (1968) Content analysis. In: Lindzey G, Aronson E (eds) The handbook of social psychology: research methods (2nd ed.). Addison-Wesley, Reading, pp 596-692.
43. Hooper P (1995) Evaluation strategies for packaging travel. J Travel Tour Market 4(2): 65-82.
44. Hsu TH, Lin LZ (2006) Using fuzzy set theoretic techniques to analyze travel risk: an empirical study. Tour Manage 27: 968-981.
45. Hyde K, Maier H, Colby C (2003) Incorporating uncertainty in the PROMETHEE MCDA method. J Multi-Criteria Decis Anal 12: 245-259.
46. Hyde KM, Maier HR (2006) Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in excel using visual basic for applications. Environ Modell Soft 21: 1695-1710.
47. Ishizaka A, Nemery P, Lidouh K (2012) Location selection for the construction of a casino in the Greater London region: a triple multi-criteria approach. Tour Manage xxx: 1-10 (in press).
48. Kassarjian HH (1977) Content analysis in consumer research. J Cons Res 4(1): 8-18.
49. Kiker GA, Bridges TS, Varghese A, Seager TP, Linkov I (2005) Applications of multicriteria decision analysis in environmental decision making. Integr Environ Assess Manage 1(2): 95-108.
50. Kolodziejczyk W (1986) Orlovsky's, concept of decision-making with fuzzy preference relation-further results. Fuzzy Set Syst 19: 11-20.
51. Lee ES, Li RL (1988) Comparison of fuzzy numbers based on the probability measure of fuzzy events. Comp Math Appl 15: 887-896.
52. Lee K, Cho C, Kwang HL (1994) Ranking fuzzy values with satisfaction function. Fuzzy Set Syst 64: 295-309.
53. Lepp A, Gibson H (2003) Tourist roles, perceived risk and international tourism. Ann Tour Res 30(3): 606-624.
54. Mabuchi S (1988) An approach to the comparison of fuzzy subsets with an α-cut dependent index. IEEE Trans Syst Man Cyb SMC 18: 264-272.
55. MacCrimmon KP, Wehrung DA (1986) Taking risks. The Free Press, New York, p 100.
56. Macharis C, Springael J, De Brucker K, Verbeke A (2004) PROMETHEE and AHP: the design of operational synergies in multicriteria analysis. Strengthening PROMETHEE with ideas of AHP. Eur J Oper Res 153: 307-317.
57. March R (2000) The Japanese travel life cycle. J Travel Tou Market 9(1&2): 185-200.
58. Matarazzo B, Munda G (2001) New approaches for the comparison of L-R fuzzy numbers. Fuzzy Set Syst 118: 407-418.
59. Mieszkowicz-Rolka A, Rolka L (2008) Fuzzy rough approximations of process data. Int J Approxi Reason 49: 301-315.
60. Millet I, Wedley WC (2002) Modelling risk and uncertainty with the analytical hierarchy process. J Multi-Criteria Decis Anal 11: 97-107.
61. Mitchell VW, Boustani P (1994) A preliminary investigation into pre- and post-purchase risk perception and reduction. Eur J Market 28(1): 56-71.
62. Modarres M, Sadi-Nezhad S (2001) Ranking fuzzy numbers by preference ratio. Fuzzy Set Syst 118: 429-436.
63. Okrent D, Pidgeon N (1998) Risk perception versus risk analysis. Reli Eng Syst Safety 59(1): 1-4.
64. Olson DL (2001) Comparison of three multicriteria methods to predict known outcomes. Eur J Oper Res 130(3): 576-587.
65. Ozturk M, Tsoukias A (2005) Preference modelling. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer Science, Business Media, Inc., Boston, pp 27-72.
66. Perez J (1995) Some comments on Saaty's AHP. Manage Sci 41(6): 1091-1095.
67. Pinhey TK, Iverson TJ (1994) Safety concerns of Japanese visitors to Guam. J Travel Tour Market 3(2): 87-94.
68. Quiroga I (1990) Characteristics of package tours in Europe. Ann Tour Res 17(2): 185-207.
69. Raju KS, Pillai CRS (1999a) Multicriterion decision making in river basin planning and development. Eur J Oper Res 112: 249-257.
70. Raju KS, Pillai CRS (1999b) Multicriterion decision making in performance evaluation of an irrigation system. Eur J Oper Res 112: 479-488.
71. Rapoport A, Wallsten TS (1972) Individual decision behavior. Ann Rev Psy 23: 131-176.
72. Robinson M, Marlor R (1995) Tourism and violence: communicating the risk. In: Evans N, Robinson M (eds) Issues in travel and tourism. Business Educations, Sunderland, pp 115-138.
73. Roehl WS, Fesenmaier DR (1992) Risk perceptions and pleasure travel: an exploratory analysis. J Travel Res 30(4): 17-26.
74. Roy B (2005) Paradigms and challenges. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer Science, Business Media, Inc., Boston, pp 3-24.
75. Sage AP (1977) Interpretive structural modeling: methodology for large-scale systems. McGraw-Hill, New York.
76. Stone RN, Grønhaug K (1993) Perceived risk: further considerations for the marketing discipline. Eur J Market 27(3): 39-50.
77. Teng W (2005) Risks perceived by Mainland Chinese tourists towards Southeast Asia destinations: a fuzzy logic model. Asia Pacific J Tour Res 10(1): 97-115.
78. Tesh S (1981) Disease causality and politics. J Health Politics Policy Law 6(3): 369-390.
79. Tong RM, Bonissone PP (1984) Linguistic solutions to fuzzy decision problems. In: Zimmermann HJ (ed) TIMS/studies in the management science, vol 20, pp 323-334.
80. Tourism Bureau: (2009) Annual survey report on R. O. C. outbound travelers. Tourism Bureau, Taipei.
81. Tran L, Duckstein L (2002) Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy Set Syst 130: 331-341.
82. Triantaphyllou E (2001) Two new cases of rank reversals when the AHP and some of its additive variants are used that do not occur with the multiplicative AHP. J Multi-Criteria Decis Anal 10: 11-25.
83. Triantaphyllou E, Mann S (1995) Using the analytic hierarchy process for decision making in engineering applications: some challenges. Int J Indus Eng Appl Prac 2(1): 35-44.
84. Tsai MC, Lin CT (2012) Selecting an optimal region by fuzzy group decision making: empirical evidence from medical investors. Group Decis Negot 21: 399-416.
85. Tsaur SH, Tzeng GH, Wang KC (1997) Evaluating tourist risks from fuzzy perspectives. Ann Tour Res 24(4): 796-812.
86. Turcksin L, Bernardini A, Macharis C (2011) A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet. Proc Soc Behav Sci 20: 954-965.
87. Tuzkaya G, Gülsün B, Kahraman C, Özgen D (2010) An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Exp Syst Appl 37: 2853-2863.
88. Unser M (2000) Lower partial moments as measures of perceived risk: an experimental study. J Econ Psy 21(3): 253-280.
89. Vaillancourt K, Waaub JP (2004) Equity in international greenhouse gases abatement scenarios: a multicriteria approach. Eur J Oper Res 153: 489-505.
90. Wang KC, Hsieh AT, Huan TC (2000) Critical service features in group package tour: an exploratory research. Tou Manage 21(2): 177-189.
91. Wang KC, Hsieh AT, Yeh YC, Tsai CW (2004) Who is the decisionmaker: the parents or the child in group package tours?. Tour Manage 25(2): 183-194.
92. Wang KC, Cheng SC, Wu SY (2002) Factor of service perception among flight attendant, group package tour leader and tourist. In: Chon K, Ogle A (eds) Proceedings of first Asia Pacific forum for graduate students research in tourism. The Hong Kong Polytechnic University & Institute for Tourism Studies, Macao, pp 305-310.
93. Wang M, Wang H, Lung LC (2005) Ranking fuzzy numbers based on lexicographic screening procedure. Int J Info Tech Decis Mak 4(4): 663-678.
94. Wang YJ, Lee SH (2008) The revised method of ranking fuzzy numbers with an area between the centroid an original points. Comp Math Appl 55: 2033-2042.
95. Wang YM, Luo Y (2009) Area ranking of fuzzy numbers based on positive and negative ideal points. Comp Math Appl 58(10): 1769-1779.
96. Wang Z, Triantophyllou E (2006) Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega 36(1): 45-63.
97. Wang ZX, Liu YJ, Fan ZP, Feng B (2009) Ranking L-R fuzzy number based on deviation degree. Inf Sci 179: 2070-2077.
98. Weber R (1990) Basic content analysis. Sage, Newbury Park.
99. Wester-Herber M, Warg LE (2002) Gender and regional differences in risk perception: results from implementing the Seveso Directive in Sweden. J Risk Res 5(1): 69-81.
100. Wong S, Lau E (2001) Understanding the behavior of Hong Kong Chinese tourists on group tour package. J Travel Res 40(1): 57-67.
101. Yager RR, Detyniecki M, Meunier BB (2001) A context-dependent method for ordering fuzzy numbers using probabilities. Inf Sci 138: 237-255.
102. Yamamoto D, Gill A (1999) Emerging trends in Japanese package tourism. J Travel Res 38(2): 134-143.
103. Yao J, Wu K (2000) Ranking fuzzy numbers based on decomposition principle and signed distance. Fuzzy Set Syst 116: 275-288.
104. Zhang K, Kluck C, Achari G (2009) A comparative approach for ranking contaminated sites based on the risk assessment paradigm using fuzzy PROMETHEE. Environ Manage 44: 952-967.