Selection by TOPSIS for surveyor of candidates in organisations

International Journal of Services Operations and Informatics

Volumn 1, Issue 4, 2006, Pages 332-346

  Wang, Tien Chin ^a   Liou, Mei Chu ^a   Hung, Hsiu Huang ^a  

^a I SHOU UNIVERSITY   (Taiwan)

Author keywords

decision making; Multiple Criteria Decision Making (MCDM); surveyor selection; Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

Indexed keywords

EID: 70349631846     PISSN: 1741539X     EISSN: 17415403     Source Type: Journal    
DOI: 10.1504/IJSOI.2006.012160     Document Type: Article

References (21)

1. Bellman, R.E. and Zadeh, L.A. (1970) ‘Decision making in a fuzzy environment’, Management Science, Vol. 17, No. 4, pp.141–164.
2. Buckley, J.J. (1985) ‘Ranking alternatives: using fuzzy numbers’, Fuzzy Sets and Systems, Vol. 15, pp.21–31.
3. Chen, C-T. (2000) ‘Extensions of the TOPSIS for group decision-making under fuzzy environment’, Fuzzy Sets and Systems, Vol. 114, pp.1–9.
4. Chen, S.J. and Hwang, C.L. (1992) Fuzzy Multiple Attribute Decision Making, New York: Springer-Verlag.
5. Cheng, S., Chan, C.W. and Huang, G.H. (2003) ‘An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management’, Engineering Applications of Artificial Intelligence, Vol. 16, pp.543–554.
6. Deng, H., Yeh, C-H. and Willis, R.J. (2000) ‘Inter-company comparison using modified TOPSIS with objective weights’, Computers and Operations Research, Vol. 27, pp.963–973.
7. Dubois, D. and Prade, H. (1978) ‘Operations on fuzzy number’, International Journal of System Science, Vol. 9, No. 6, pp.613–626.
8. Hutchinson, M.O. (1998) ‘The use of fuzzy logic in business decision making’, Derivatives Quarterly, Vol. 4, No. 4, pp.53–67.
9. Hwang, C.L. and Yoon, K. (1981) Multiple Attribute Decision Making: Methods and Applications, New York: Springer.
10. Jee, D-H. and Kang, K-J. (2000) ‘A method for optimal material selection aided with decision making theory’, Materials and Design, Vol. 21, pp.199–206.
11. Keeney, R. and Raiffa, H. (1976) Decision with Multiple Objective: Preference and Value Tradeoffs, New York: Wiley.
12. Khouja, M. (1995) ‘The use of data envelopment analysis for technology selection’, Computers and Industrial Engineering; Vol. 28, pp.123–132.
13. Parkan, C. and Wu, M-L. (1999) ‘Decision-making and performance measurement models with applications to robot selection’, Computers and Industrial Engineering, Vol. 36, pp.503–523.
14. Triantaphyllou, E. and Lin, C-T. (1996) ‘Development and evaluation of five fuzzy multiattribute decision-making methods’, International Journal of Approximate Reasoning, Vol. 14, pp.281–310.
15. Tsaur, S-H., Chang, T-Y. and Yen, C-H. (2002) ‘The evaluation of airline service quality by fuzzy MCDM’, Tourism Management, Vol. 23, pp.107–115.
16. Viswanathan, M. (1999) ‘Understanding how product attributes influence product categorization: development and validation of fuzzy set-based measures of gradedness in product categories’, Journal of Marketing Research, Vol. 36, No. 1, pp.75–94.
17. Wang, M-J.J. and Chang, T-C. (1995) ‘Tool steel materials selection under fuzzy environment’, Fuzzy Sets and Systems, Vol. 72, pp.263–270.
18. Xia, X., Wang, Z. and Gao, Y. (2000) ‘Estimation of non-statistical uncertainty using fuzzy-set theory’, Measurement Science and Technology, Vol. 11, No. 4, pp.430–435.
19. Zadeh, L.A. (1965) ‘Fuzzy sets’, Information and Control, Vol. 8, pp.338–353.
20. Zadeh, L.A. (1975) ‘The concept of a linguistic variable and its application to approximate reasoning’, Information Sciences, Part 1, Vol. 8, pp.199–249; Part 2, Vol. 8, pp.301–357; Part 3, Vol. 9, pp.43–80.
21. Website of the ABC Register of Shipping, Available at: http://www.Ir.crg.