Name
Abstract | ||
|---|---|---|
Abstract A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has been widely used in many applications such as experts system and knowledge engineering. However, classical FCM is inherently short of sufficient capability of representing and aggregating uncertain information. In this paper, generalized FCM (GFCM) is proposed based on genetic algorithm and interval numbers. An application frame of GFCM is detailed. At last, a numerical example about socio-economic system is used to illustrate the effectiveness of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s13198-016-0444-0 | Int. J. Systems Assurance Engineering and Management |
Keywords | Field | DocType |
Generalized fuzzy cognitive maps, Interval number, Genetic algorithm, Decision making | Cognitive map,Fuzzy cognitive map,Artificial intelligence,Knowledge engineering,Machine learning,Genetic algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
7 | 2 | 0976-4348 |
Citations | PageRank | References |
2 | 0.37 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingyi Kang | 1 | 138 | 9.24 |
| Hongming Mo | 2 | 22 | 3.67 |
| Rehan Sadiq | 3 | 364 | 30.26 |
| Yong Deng | 4 | 1248 | 83.34 |