Multi-criteria decision-making method with incomplete certain information based on intuitionistic fuzzy number

Kongzhi yu Juece/Control and Decision

Volumn 24, Issue 2, 2009, Pages 226-230

  Wang, Jian Qiang ^a   Zhang, Zhong ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Hamming distance; Incomplete information; Intuitionistic trapezoidal fuzzy numbers; Multi criteria decision making

Indexed keywords

DYNAMIC PROGRAMMING; FUZZY RULES; FUZZY SETS; HAMMING DISTANCE; MEATS; NONLINEAR PROGRAMMING;

IDEAL SOLUTIONS; INCOMPLETE INFORMATION; INTUITIONISTIC FUZZY NUMBERS; INTUITIONISTIC TRAPEZOIDAL FUZZY NUMBERS; MULTI-CRITERIA DECISION MAKING; MULTI-CRITERIA DECISION MAKING PROBLEMS; NON-IDEAL SOLUTIONS; TRAPEZOIDAL FUZZY NUMBERS; WEIGHT COEFFICIENTS;

DECISION MAKING;

EID: 61649121318     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Li R J. Fuzzy multi-criteria decision making theory and its application[M]. Beijing: Science Press, 2002.
2. Aouam T, Chang SI, Lee E S. Fuzzy MADM: An outranking method[J]. European J of Operational Research, 2003, 145(2): 317-328.
3. Chu Tachung. A fuzzy number interval arithmetic based fuzzy MCDM algorithm[J]. Int J of Fuzzy Systems, 2002, 4(4): 867-872.
4. Wang J Q. Programming method of fuzzy group multiple criteria decision making with incomplete information[J]. Systems Engineering and Electronics, 2004, 26(11): 1604-1608.
5. Xu Z S. Study on method for triangular fuzzy number-based multi-attribute decision making with preference information on alternatives[J]. Systems Engineering and Electronics, 2002, 24(8): 9-12.
6. Atanassov K T. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1986, 20(1): 87-96.
7. De S K, Biswas R, Roy A R. An application of intuitionistic fuzzy sets in mdical diagnosis[J]. Fuzzy Sets and Systems, 2001, 117(2): 209-213.
8. Li D F, Chen C T. New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions[J]. Pattern Recognition Letters, 2002, 23(1-3): 221-225.
9. Przemysiaw Grzegorewski. Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the hausdorff metric[J]. Fuzzy Sets and Systems, 2004, 148(2), 319-328.
10. Li D F. Multiattribute decision making models and methods using intuitionistic fuzzy sets[J]. J of Computer System Science, 2005, 70(1): 73-85.
11. Wang J Q. Study on multi-criteria decision-making approach with incomplete certain information[D]. Changsha: Central South University, 2005.
12. Wang J Q. Multi-criteria interval intuitionistic fuzzy decision-making approach with incomplete certain information[J]. Control and Decision, 2006, 21(11): 1253-1256.
13. Xu Z S. Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making[J]. Control and Decision, 2007, 22(2): 215-219.
14. Shu M H, Cheng C H, Chang J R. Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly[J]. Microelectronics Reliability, 2006, (46): 2139-2148.
15. Wang J Q. Survey on fuzzy multi-criteria decisionmaking approach[J]. Control and Decision, 2008, 23(6): 601-606.
16. Wang J Q, Zhang Z. Programming method of multi-criteria decision-making based on intuitionistic fuzzy number with incomplete certain information[J]. Control and Decision, 2008, 23(10): 1145-1148.
17. Michalewicz Z. Evolutionary process-Genetic algorithms and data encoding the specific combination of the application of genetic arithms[M]. Beijing: Science Press, 2000.