Name
Abstract | ||
|---|---|---|
A novel dynamic intuitionistic fuzzy TOPSIS method is proposed to evaluate the agents when the expert evaluation values are Intuitionistic Fuzzy Numbers (IFNs). Similar to Positive Ideal Solution (PIS) in traditional TOPSIS, Positive Ideal Agent (PIA) is an ideal agent which achieves the best values in all the expert evaluations. Negative Ideal Agent (NIA) is the worst in every expert's evaluation. Then agent similarity to PIA and that to NIA are calculated. The relative ideal closeness of each agent is defined as a combination of the corresponding two similarities, which indicates the agent's relative capabilities. To deal with varied numbers of agents and experts, the update mechanisms are presented. A numerical example demonstrates the validity of our approach. |
Year | Venue | Keywords |
|---|---|---|
2018 | PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD)) | intuitionistic fuzzy number, agent evaluation, TOPSIS, ranking method |
Field | DocType | Citations |
Task analysis,Computer science,Closeness,Ideal solution,Fuzzy set,Artificial intelligence,TOPSIS,Fuzzy number,Fuzzy topsis,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Libo Zhang | 1 | 108 | 7.21 |
| Jiubing Liu | 2 | 7 | 2.09 |
| Bing Huang | 3 | 471 | 21.34 |
| Huaxiong Li | 4 | 770 | 35.51 |
| Xianzhong Zhou | 5 | 439 | 27.01 |