Title :
Attribute Reduction for Set-Valued Ordered Fuzzy Decision System
Author :
Zhongkui Bao ; Shanlin Yang
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Abstract :
Attribute reduction for set-valued ordered fuzzy decision system that considers attributes with preference-ordered domains and fuzzy decision attributes is investigated. Firstly, a δ-dominance relation is proposed, and δ-dominance relation-based rough fuzzy set model is defined for set-valued ordered fuzzy decision system. Then, judgment theorem of attribute consistent set is derived, and attribute reduction approach based on the discernibility matrices is proposed to eliminate redundant attributes that are not essential from the view of fuzzy decisions. Finally, an example is given to illustrate the results.
Keywords :
decision theory; fuzzy set theory; δ-dominance relation-based rough fuzzy set model; attribute consistent set; attribute reduction approach; discernibility matrices; fuzzy decision attributes; judgment theorem; preference-ordered domains; redundant attributes; set-valued ordered fuzzy decision system; Approximation methods; Artificial intelligence; Data models; Educational institutions; Information systems; Rough sets; δ -dominance relation; attribute reduction; rough fuzzy set; set-valued ordered fuzzy decision system;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.126