Engineering Management Theories and Methodologies |
|
|
|
Trapezoidal Intuitionistic Fuzzy Aggregation Operator Based on Choquet Integral and Its Application to Multi-Criteria Decision-Making Problems |
Xi-hua Li( ),Xiao-hong Chen |
Business School of Central South University; Collaborative Innovation Center of Resource-conserving & Environment-friendly Society and Ecological Civilization, Changsha 410083, China |
|
|
Abstract The Choquet integral can serve as a useful tool to aggregate interacting criteria in an uncertain environment. In this paper, a trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integral is proposed for multi-criteria decision-making problems. The decision information takes the form of trapezoidal intuitionistic fuzzy numbers and both the importance and the interaction information among decision-making criteria are considered. On the basis of the introduction of trapezoidal intuitionistic fuzzy numbers, its operational laws and expected value are defined. A trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integral is then defined and some of its properties are investigated. A new multi-criteria decision-making method based on a trapezoidal intuitionistic fuzzy Choquet integral operator is proposed. Finally, an illustrative example is used to show the feasibility and availability of the proposed method.
|
Keywords
multi-criteria decision making
trapezoidal intuitionistic fuzzy numbers
Choquet integral
fuzzy measure
aggregation operator
|
Corresponding Author(s):
Xi-hua Li
|
Online First Date: 16 March 2016
Issue Date: 21 March 2016
|
|
1 |
Abbasbandy, S., & Hajjari, T. (2009). A new approach for ranking of trapezoidal fuzzy number. Computers & Mathematics with Applications (Oxford, England), 57, 413–419
https://doi.org/10.1016/j.camwa.2008.10.090
|
2 |
Asady, B., & Zendehnam, A. (2007). Ranking fuzzy numbers by distance minimization. Applied Mathematical Modelling, 31, 2589–2598
https://doi.org/10.1016/j.apm.2006.10.018
|
3 |
Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96
https://doi.org/10.1016/S0165-0114(86)80034-3
|
4 |
Chen, S., & Tan, J. (1994). Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems, 67, 163–172
https://doi.org/10.1016/0165-0114(94)90084-1
|
5 |
Choquet, G. (1954). Theory of Capacities. Annales de l'Institut Fourier, 5, 131–295
https://doi.org/10.5802/aif.53
|
6 |
Dubois, D., & Prade, H. (1980). Fuzzy Sets and Systems: Theory and Application. New York: Academic Press
|
7 |
Grabisch, M. (1996a). The representation of importance and interaction of features by fuzzy measures. Pattern Recognition Letters, 17, 567–575
https://doi.org/10.1016/0167-8655(96)00020-7
|
8 |
Grabisch, M. (1996b). The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research, 89, 445–456
https://doi.org/10.1016/0377-2217(95)00176-X
|
9 |
Höhle, U. (1982). Integration with respect to fuzzy measures. In Anon. (Eds.), Proceedings of the IFAC Symposium on Theory and Application of Digital Control (pp. 35–37). New Delhi, India
|
10 |
Hong, D., & Choi, C. (2000). Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems, 114, 103–113
https://doi.org/10.1016/S0165-0114(98)00271-1
|
11 |
Li, D. (2005). Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences, 70, 73–85
https://doi.org/10.1016/j.jcss.2004.06.002
|
12 |
Li, D., Wang, Y., Liu, S., & Shan, F. (2008). Fractional programming methodology for multi-attribute group decision making using IFS. Applied Soft Computing, 8, 219–225
|
13 |
Liu, H., & Wang, G. (2007). Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research, 179, 220–233
https://doi.org/10.1016/j.ejor.2006.04.009
|
14 |
Marichal, J., & Roubens, M. (1998). Dependence between criteria and multiple criteria decision aid. In 2nd International Workshop on Preferences and Decisions, Trento, Italy
|
15 |
Murofushi, T., & Sugeno, M. (1989). An interpretation of fuzzy measure and the Choquet integral as an integral with respect to a fuzzy measure. Fuzzy Sets and Systems, 29, 201–227
https://doi.org/10.1016/0165-0114(89)90194-2
|
16 |
Murofushi, T., & Sugeno, M. (1991). A theory of fuzzy measures–representations, the Choquet integral, and null sets. Journal of Mathematical Analysis and Applications, 159, 532–549
https://doi.org/10.1016/0022-247X(91)90213-J
|
17 |
Nehi, H., & Maleki, H. (2005). Intuitionistic fuzzy numbers and it’s applications in fuzzy optimization problem. In Proceedings of the 9th WSEAS International Conference on Systems, Athens, Greece, 1–5
|
18 |
Sugeno, M. (1974). Theory of fuzzy integral and its application (Doctorial dissertation). Tokyo: Tokyo Institute of Technology
|
19 |
Tan, C., & Chen, X. (2010). Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Systems with Applications, 37, 149–157
https://doi.org/10.1016/j.eswa.2009.05.005
|
20 |
Hadi-Vencheh, A., & Allame, M. (2010). On the relation between a fuzzy number and its centroid. Computers & Mathematics with Applications (Oxford, England), 59, 3578–3582
https://doi.org/10.1016/j.camwa.2010.03.051
|
21 |
Wang, J. (1995). Determining fuzzy measures by using statistics and neural networks, In Anon. (Eds.) Proc. of IFSA'95, Sao Paulo
|
22 |
Wang, J., & Zhang, Z. (2009). Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multicriteria decision making problems. Journal of Systems Engineering and Electronics, 20, 321–326
|
23 |
Wang, Z., Klir, G., & Wang, J. (1998). Neural networks used for determining belief measures and plausibility measures. Intelligent Automation and Soft Computing, 4, 313–324
https://doi.org/10.1080/10798587.1998.10750740
|
24 |
Wei, G. (2009). Some geometric aggregation functions and their application to dynamic multiple attribute decision making in the intuitionistic fuzzy setting. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 17, 179–196
https://doi.org/10.1142/S0218488509005802
|
25 |
Wu, J., & Zhang, Q. (2011). Multicriteria decision making method based on intuitionistic fuzzy weighted entropy. Expert Systems with Applications, 38, 916–922
https://doi.org/10.1016/j.eswa.2010.07.073
|
26 |
Xu, Z. (2007). Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision, 22, 215–219 [in Chinese]
|
27 |
Xu, Z. (2010). Choquet integrals of weighted intuitionistic fuzzy information. Information Sciences, 180, 726–736
https://doi.org/10.1016/j.ins.2009.11.011
|
28 |
Xu, Z., & Yager, R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International Journal of General Systems, 35, 417–433
https://doi.org/10.1080/03081070600574353
|
29 |
Xu, Z., & Yager, R. (2008). Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning, 48, 246–262
https://doi.org/10.1016/j.ijar.2007.08.008
|
30 |
Yager, R.R. (1988). On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, 18, 183–190
https://doi.org/10.1109/21.87068
|
31 |
Ye, J. (2009). Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications, 36, 6899–6902
https://doi.org/10.1016/j.eswa.2008.08.042
|
32 |
Ye, J. (2010). Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research, 205, 202–204
https://doi.org/10.1016/j.ejor.2010.01.019
|
33 |
Ye, J. (2011). Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems. Expert Systems with Applications, 03, 059
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|