Title :
Uncertain programming: optimization theory in uncertain environments
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Abstract :
By uncertain programming we mean the optimization theory in generally uncertain (random, fuzzy, fuzzy random, rough, etc.) environments. Stochastic programming, fuzzy programming, fuzzy random programming and rough programming are subtopics of uncertain programming. The paper provides a brief introduction to uncertain programming, including modeling ideas, hybrid intelligent algorithms, and applications in uncertain decision systems. Some further research problems appearing in this area are also posed
Keywords :
fuzzy set theory; mathematical programming; rough set theory; uncertainty handling; fuzzy random programming; hybrid intelligent algorithms; optimization theory; rough programming; uncertain decision systems; uncertain environments; uncertain programming; Costs; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Intelligent networks; Mathematical model; Mathematical programming; Neural networks; Stochastic processes; Stochastic systems;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.839159
