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| Content Provider | Springer Nature Link |
|---|---|
| Author | Liang, Xia Wei, Cuiping |
| Copyright Year | 2013 |
| Abstract | In this paper, we propose a new similarity measure for Atanassov’s intuitionistic fuzzy sets by the relationship between entropy and similarity measure. With respect to multi-attribute group decision making problem, we then give an approach to derive the relative importance weights of experts. This approach takes into account decision information from three aspects: the uncertainty degrees of individual expert’s assessing information for alternatives, the similarity degree of the assessing information for alternatives provided by individual expert, and the similarity degree of the individual expert’s assessing information to all the others’. Finally, we establish a method for handling multi-attribute group decision making problem with Atanassov’s intuitionistic fuzzy information, and adopt an illustrative example to demonstrate its rationality and effectiveness. |
| Starting Page | 435 |
| Ending Page | 444 |
| Page Count | 10 |
| File Format | |
| ISSN | 18688071 |
| Journal | International Journal of Machine Learning and Cybernetics |
| Volume Number | 5 |
| Issue Number | 3 |
| e-ISSN | 1868808X |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-06-18 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multi-attribute group decision making Atanassov’s intuitionistic fuzzy set entropy Similarity measure Weights of experts Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Vision and Pattern Recognition Software |
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