Title :
Expectation formulas for reduced fuzzy variables
Author :
Liu, Ying ; Chen, Yan-ju
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Abstract :
In type-2 fuzzy optimization problems, the uncertain parameters are usually represented by type-2 fuzzy variables. To solve such fuzzy programming, we are required to reduce the type-2 fuzzy parameters. Based on the mean reduction results of type-2 fuzzy variables, this paper derives expectation formulas for reductions of two common type-2 fuzzy variables. Using the obtained results, we can build meaningful fuzzy optimization problems.
Keywords :
fuzzy set theory; optimisation; expectation formula; fuzzy programming; reduced fuzzy variables; type-2 fuzzy optimization problem; uncertain parameters; Chromium; Optimization; Expected value; Fuzzy optimization; Mean reduction; Type-2 fuzzy variable;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580477
