Title :
Fuzzy flow-shop scheduling models based on credibility measure
Author :
Peng, Jin ; Song, Kaoping
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Abstract :
The credibility measure of fuzzy events is a relatively new concept related to fuzzy variable. This paper aims at demonstrating how this concept can be used for managing fuzzy scheduling on flow-shop problems. Three types of fuzzy flow-shop scheduling models are presented. A hybrid intelligent algorithm is then designed to solve the proposed fuzzy flow-shop scheduling models. Computation experiments are provided to illustrate its effectiveness.
Keywords :
flow shop scheduling; fuzzy set theory; genetic algorithms; computation experiments; credibility measure; flow shop scheduling problems; fuzzy flow shop scheduling model; fuzzy variable; hybrid intelligent algorithm; Algorithm design and analysis; Computational modeling; Fuzzy set theory; Genetic algorithms; Job shop scheduling; Mathematical model; Petroleum; Processor scheduling; Scheduling algorithm; Stochastic processes;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206640
