Title :
Fuzzy dynamic multiple level decision making
Author :
Syau, Yu-Ru ; Lee, E. Stanley
Author_Institution :
Dept. of Ind. Eng., Yuan Ze Univ., Tao-Yuan, Taiwan
Abstract :
The use of the fuzzy set concept to overcome the computational difficulties of multi-level optimization for large systems is extended to dynamic systems. The approach is formulated based on exploring the fuzziness or indefiniteness, which is almost always present in a decentralized large hierarchy organization, with the help of dynamic programming. The advantage of this approach is that the problem is much simpler for solution purposes and the original problem is also much more realistically represented
Keywords :
decision theory; dynamic programming; fuzzy set theory; decentralized large hierarchy organization; dynamic programming; dynamic systems; fuzziness; fuzzy dynamic multiple level decision making; fuzzy set; indefiniteness; multi-level optimization; Agriculture; Artificial intelligence; Decision making; Dynamic programming; Fuzzy sets; Fuzzy systems; Government; Industrial economics; Industrial engineering; Vectors;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781770