An interval-valued intuitionistic fuzzy TOPSIS method based on an improved score function

The Scientific World Journal

Volumn 2013, Issue , 2013, Pages

  Bai, Zhi Yong ^a  

^a BEIJING FORESTRY UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; FUZZY SYSTEM; IMPROVED SCORE FUNCTION; INTERVAL VALUED INTUITIONISTIC FUZZY SET; INTERVAL VALUED INTUITIONISTIC FUZZY TOPSIS METHOD; SCORING SYSTEM; FUZZY LOGIC; THEORETICAL MODEL;

FUZZY LOGIC; MODELS, THEORETICAL;

EID: 84896334912     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2013/879089     Document Type: Article

References (24)

1. Hwang C. L., Yoon K., Multiple Attribute Decision Making: Methods and Applications 1981 Berlin, Germany Springer
2. Triantaphyllou E., Lin C. T., Development and evaluation of five fuzzy multiattribute decision-making methods. International Journal of Approximate Reasoning 1996 14 4 281 310 2-s2.0-0000054991 10.1016/0888-613X(95)00119-2 (Pubitemid 126362777)
3. Chen C., Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 2000 114 1 1 9 2-s2.0-0002296389
4. Tsaur S. H., Chang T. Y., Yen C. H., The evaluation of airline service quality by fuzzy MCDM. Tourism Management 2002 23 107 115
5. Gorzałczany M. B., A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets and Systems 1987 21 1 1 17 2-s2.0-0023165592
6. Turksen I. B., Interval valued fuzzy sets based on normal forms. Fuzzy Sets and Systems 1986 20 2 191 210 2-s2.0-0000038881
7. Atanassov K. T., Intuitionistic fuzzy sets. Fuzzy Sets and Systems 1986 20 1 87 96 2-s2.0-0002740725
8. Bustince H., Burillo P., Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems 1996 79 3 403 405 2-s2.0-0000196513 (Pubitemid 126667425)
9. Atanassov K., Gargov G., Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems 1987 31 1 17
10. Zadeh L. A., Fuzzy sets. Information and Control 1965 8 3 338 353 2-s2.0-34248666540
11. Ashtiani B., Haghighirad F., Makui A., Montazer G. A., Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing Journal 2009 9 2 457 461 2-s2.0-58549095436 10.1016/j.asoc.2008.05.005
12. Li D., Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences 2005 70 1 73 85 2-s2.0-9244244218 10.1016/j.jcss.2004.06.002
13. Li D., Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets. Expert Systems with Applications 2012 37 12 8673 8678 2-s2.0-77957841194
14. Ye J., Improved method of multicriteria fuzzy decision-making based on vague sets. Computer-Aided Design 2007 39 2 164 169 2-s2.0-33846638229 10.1016/j.cad.2006.11.005 (Pubitemid 46185361)
15. Ye J., Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications 2009 36 3 6899 6902 2-s2.0-58349097504 10.1016/j.eswa.2008.08.042
16. Chen T., Multi-criteria decision-making method with leniency reduction based on interval-valued fuzzy sets. Journal of the Chinese Institute of Industrial Engineers 2011 28 1 1 19 2-s2.0-78650197243 10.1080/10170669.2010. 528919
17. Chen T., A comparative analysis of score functions for multiple criteria decision making in intuitionistic fuzzy settings. Information Sciences 2011 181 17 3652 3676 2-s2.0-79957588032 10.1016/j.ins.2011.04.030
18. Li D., Linear programming method for MADM with interval-valued intuitionistic fuzzy sets. Expert Systems with Applications 2012 37 8 5939 5945 2-s2.0-77951207919
19. Li D., TOPSIS-based nonlinear-programming methodology for multiattribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Transactions on Fuzzy Systems 2012 18 2 299 311 2-s2.0-77950667748
20. Park J. H., Park I. Y., Kwun Y. C., Tan X., Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment. Applied Mathematical Modelling 2011 35 5 2544 2556 2-s2.0-78751632458 10.1016/j.apm.2010.11.025
21. Lai H., Chen T., A fuzzy risk-assessment method using a TOPSIS approach based oninterval-valued fuzzy numbers. Journal of the Chinese Institute of Industrial Engineers 2011 28 6 467 484 2-s2.0-81255171907 10.1080/10170669.2011. 613953
22. Nayagam V. L. G., Muralikrish S., Sivaraman G., Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications 2011 38 3 1464 1467 2-s2.0-78049530596 10.1016/j.eswa.2010.07.055
23. Xu Z., Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision 2007 22 2 1179 1187 2-s2.0-34147195391
24. Liu H., Wang G., Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research 2007 179 1 220 233 2-s2.0-33751331720 10.1016/j.ejor.2006.04.009 (Pubitemid 44809572)