Abstract
In [4], Zhao, Peng, and Cheng demonstrated that the fuzzy dynamic integrated judgment (FDIJ) can be decided via a fuzzy relation equation based on an appropriate fuzzy weight set and an adjustable fuzzy (feedback) relation. In general, to find a fuzzy weight set when an adjustable fuzzy relation and a FDIJ are given is much more difficult than finding a FDIJ when an adjustable fuzzy relation and a fuzzy weight set are available. In theory, for a given pair of a FDIJ and an adjustable fuzzy relation, there may not be a feasible fuzzy weight set satisfying the fuzzy relation equation. In many applications, however, it may have to deal with the situation in which an optimal fuzzy weight set is sought to work with an adjustable fuzzy feedback relation in order to induce a desired fuzzy dynamic integrated judgment. A feasible approach of deciding such an optimal fuzzy weight set for the desired fuzzy dynamic integrated judgment is the main objective of this article.
| Original language | English |
|---|---|
| Title of host publication | WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc. |
| Pages | 215-219 |
| Number of pages | 5 |
| Volume | 3 |
| State | Published - 2006 |
| Event | 10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States Duration: Jul 16 2006 → Jul 19 2006 |
Other
| Other | 10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 |
|---|---|
| Country | United States |
| City | Orlando, FL |
| Period | 7/16/06 → 7/19/06 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
Cite this
A study of the inverse problem of fuzzy dynamic integrated judgment. / Cheng, Shih-Chuan.
WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.. Vol. 3 2006. p. 215-219.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A study of the inverse problem of fuzzy dynamic integrated judgment
AU - Cheng, Shih-Chuan
PY - 2006
Y1 - 2006
N2 - In [4], Zhao, Peng, and Cheng demonstrated that the fuzzy dynamic integrated judgment (FDIJ) can be decided via a fuzzy relation equation based on an appropriate fuzzy weight set and an adjustable fuzzy (feedback) relation. In general, to find a fuzzy weight set when an adjustable fuzzy relation and a FDIJ are given is much more difficult than finding a FDIJ when an adjustable fuzzy relation and a fuzzy weight set are available. In theory, for a given pair of a FDIJ and an adjustable fuzzy relation, there may not be a feasible fuzzy weight set satisfying the fuzzy relation equation. In many applications, however, it may have to deal with the situation in which an optimal fuzzy weight set is sought to work with an adjustable fuzzy feedback relation in order to induce a desired fuzzy dynamic integrated judgment. A feasible approach of deciding such an optimal fuzzy weight set for the desired fuzzy dynamic integrated judgment is the main objective of this article.
AB - In [4], Zhao, Peng, and Cheng demonstrated that the fuzzy dynamic integrated judgment (FDIJ) can be decided via a fuzzy relation equation based on an appropriate fuzzy weight set and an adjustable fuzzy (feedback) relation. In general, to find a fuzzy weight set when an adjustable fuzzy relation and a FDIJ are given is much more difficult than finding a FDIJ when an adjustable fuzzy relation and a fuzzy weight set are available. In theory, for a given pair of a FDIJ and an adjustable fuzzy relation, there may not be a feasible fuzzy weight set satisfying the fuzzy relation equation. In many applications, however, it may have to deal with the situation in which an optimal fuzzy weight set is sought to work with an adjustable fuzzy feedback relation in order to induce a desired fuzzy dynamic integrated judgment. A feasible approach of deciding such an optimal fuzzy weight set for the desired fuzzy dynamic integrated judgment is the main objective of this article.
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UR - http://www.scopus.com/inward/citedby.url?scp=84867258847&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867258847
SN - 980656068X
SN - 9789806560680
VL - 3
SP - 215
EP - 219
BT - WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
ER -