Method for interval-valued intuitionistic fuzzy multiple attribute decision making with preference information on alternatives

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

Volumn 31, Issue 1, 2009, Pages 116-120

  Wei, Gui Wu ^a  

^a CHONGQING UNIVERSITY OF ARTS AND SCIENCES   (China)

Author keywords

Interval valued intuitionistic fuzzy number; Interval valued intuitionistic fuzzy weighted averaging (IIFWA) operator; Operation law; Preference

Indexed keywords

AIRCRAFT INSTRUMENTS; AVIONICS; FUNCTIONS; FUZZY RULES; FUZZY SETS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

ACCURACY FUNCTIONS; ATTRIBUTE WEIGHTS; EXACT FORMULAS; ILLUSTRATIVE EXAMPLES; INTERVAL-VALUED INTUITIONISTIC FUZZY NUMBER; INTERVAL-VALUED INTUITIONISTIC FUZZY WEIGHTED AVERAGING (IIFWA) OPERATOR; OPERATION LAW; OPERATIONAL LAWS; OPTIMIZATION MODELS; PREFERENCE; PREFERENCE INFORMATIONS; SCORE FUNCTIONS; WEIGHT INFORMATIONS;

NUMBER THEORY;

EID: 60149091034     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Zadeh L A. Fuzzy sets [J]. Information and Control, 1965, 8: 338-356.
2. Atanassov K. Intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems, 1986, 20: 87-96.
3. Atanassov K. More on intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems, 1989, 33: 37-46.
4. Gau W L, Buehrer D J. Vague sets [J]. IEEE Transactions on Systems, Man and Cybernetics, 1993, 23(2): 610-614.
5. Bustine H, Burillo P. Vague sets are intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems, 1996, 79: 403-405.
6. Xu Z S, Yager R R. Some geometric aggregation operators based on intuitionistic fuzzy sets [J]. International Journal of General System, 2006, 35(4): 417-433.
7. Xu Z S. Intuitionistic preference relations and their application in group decision making [J]. Information Science, 2007, 177(11): 2363-2379.
8. Xu Z S. Intuitionistic fuzzy aggregation operators [J]. IEEE Transactions on Fuzzy Systems, 2007, 15(6): 1179-1187.
9. Atanassov K, Gargov G. Interval-valued intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems, 1989, 31(3): 343-349.
10. Atanassov K. Operators over interval-valued intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems, 1994, 64(2): 159-174.
11. Xu Z S. Models for multiple attribute decision-making with intuitionistic fuzzy information [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007, 15(3): 285-297.
12. Lee K S, Park K S, Eum Y S, et al. Extended methods for identifying dominance and potential optimality in multicriteria analysis with imprecise information [J]. European Journal of Operational Research, 2001, 134(3): 557-563.
13. Kim S H, Han C H. An interactive procedure for multiple attribute group decision making procedure with incomplete information [J]. Computers & Operational Research, 1999, 26(8): 755-772.
14. Xu zeshui. On similarity measures of interval-valued intuitionistic fuzzy sets and their application to pattern regcgnitions [J]. Journal of Southeast University (English Edition), 2007, 23(1): 139-143.
15. Chen S M, Tan J M. Handling multicriteria fuzzy decision-making problems based on vague set theory [J]. Fuzzy Sets and Systems, 1994, 67: 163-7-172.
16. Hong D H, Choi C H. Multicriteria fuzzy problems based on vague set theory [J]. Fuzzy Sets and Systems, 2000, 114: 103-113.
17. Li D F. Multiattribute decision making models and methods using intuitionistic fuzzy sets [J]. Journal of computer and System Sciences, 2005, 70: 73-85.
18. Lin L, Yuan X H, Xia Z Q. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets [J]. Journal of Computer and System Sciences, 2007, 73: 84-88.
19. Herrera F, Herrera-Viedma E. Linguistic decision analysis: steps for solving decision problems under linguistic information [J]. Fuzzy Sets and Systems, 2000, 115: 67-82.