A fuzzy TOPSIS method for robot selection

International Journal of Advanced Manufacturing Technology

Volumn 21, Issue 4, 2003, Pages 284-290

  Chu, T C ^a   Lin, Y C ^a  

^a SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Fuzzy numbers; Fuzzy TOPSIS; Interval arithmetic; Robot selection

Indexed keywords

CALCULATIONS; DECISION MAKING; FUZZY SETS; LINGUISTICS; MEMBERSHIP FUNCTIONS;

CLOSENESS COEFFICIENT; FUZZY NUMBERS; OBJECTIVE CRITERIA; RANKING METHOD; ROBOT SELECTION; SUBJECTIVE CRITERIA; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO AN IDEAL SOLUTION;

ROBOTIC ASSEMBLY;

EID: 0037274844     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700300033     Document Type: Article

References (22)

1. P. Y. Huang and P. Ghandforoush, "Procedures given for evaluating, selecting robots", Industrial Engineering, 16, pp. 44-48, 1984.
2. M. S. Jones, C. J. Malmborg and N. H. Agee, "Robotics: decision support system for selecting a robot", Industrial Engineering, 17, pp. 66-73, 1985.
3. O. F. Offodile, B. K. Lambert and R. A. Dudek, "Development of a computer aided robot selection procedure (CARSP)", International Journal of Production Research, 25, 1109-1121, 1987.
4. O. F. Offodile and S. L. Johnson, "Taxonomic system for robot selection in flexible manufacturing cells", Journal of Manufacturing Systems, 9, pp. 77-80, 1990.
5. G. H. Liang and M.-J. J. Wang, "A fuzzy multi-criteria decision-making approach for robot selection", Robotics and Computer-Integrated Manufacturing, 10, pp. 267-274, 1993.
6. M. M. Imang and R. J. Schlesinger, "Decision models for robot selection: a comparison of ordinary least squares and linear goal programming method", Decision Science, 20, pp. 40-53, 1989.
7. K. Knott and R. D. Getto, "A model for evaluating alternative robot systems under uncertainty, International Journal of Production Research", 20, pp. 155-165, 1982.
8. L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning, Parts 1, 2 and 3", Information Science, 8, pp. 199-249, pp. 301-357, 1975; 9, 43-80, 1976.
9. S. H. Chen, "Ranking fuzzy numbers with maximizing set and minimizing set", Fuzzy Sets and Systems, 17, pp. 113-129, 1985.
10. T. S. Liou and M.-J. J. Wang, "Ranking fuzzy numbers with integral value", Fuzzy Sets and Systems, 50, pp. 247-255, 1992.
11. C. L. Hwang and K. Yoon, Multiple Attribute Decision Making - Methods and Applications: A State of the Art Survey, Springer-Verlag, 1981.
12. S. J. Chen and C. L. Hwang, Fuzzy Multiple Attribute Decision Making, Springer-Verlag, 1992.
13. H. M. Hsu and C. T. Chen, "Fuzzy credibility relation method for multiple criteria decision making problems", Information Sciences, 96, pp. 79-91, 1997.
14. A. Kaufmann and M. M. Gupta, Fuzzy Mathematical Models in Engineering and Management Science, North-Holland, 1988.
15. D. Dubois and H. Prade, "Operations on fuzzy numbers", International Journal of Systems Science, 9, pp. 613-626, 1978.
16. A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Application, VanNostrand-Reinhold, 1991.
17. G. Bortalan and R. Degani, "A review of some methods for ranking fuzzy subsets", Fuzzy Sets and Systems, 15, pp. 1-19, 1985.
18. T. C. Chu, "Selecting plant location via a fuzzy TOPSIS approach", International Journal of Advanced Manufacturing Technology, accepted, 2001.
19. C. T. Tsao and T. C. Chu, "An improved fuzzy MCDM model based on ideal and anti-ideal concepts", Journal of the Operations Research Society of Japan, 45, pp. 185-197, 2002.
20. M. Modarres and S. Sadi-Nezhad, "Ranking fuzzy numbers by preference ratio", Fuzzy Sets and Systems, 118, pp. 429-436, 2001.
21. J. J. Buckley, "The multiple judge, multiple criteria ranking problem: a fuzzy set approach", Fuzzy Sets and Systems, 13, pp. 25-37, 1984.
22. H. J. Zimmermann, Fuzzy Sets. Decision Making, and Expert Systems, Kluwer, 1987.