Title :
Sequential three-way decisions with probabilistic rough sets
Author :
Yao, Yiyu ; Deng, Xiaofei
Author_Institution :
Dept. of Comput. Sci., Univ. of Regina, Regina, SK, Canada
Abstract :
When approximating a concept, probabilistic rough set models use probabilistic positive, boundary and negative regions. Rules obtained from the three regions are recently interpreted as making three-way decisions, consisting of acceptance, deferment, and rejection. A particular decision is made by minimizing the cost of correct and incorrect classifications. This framework is further extended into sequential three-way decision-making, in which the cost of obtaining required evidence or information is also considered.
Keywords :
decision making; pattern classification; probability; problem solving; rough set theory; acceptance; deferment; probabilistic boundary regions; probabilistic negative region; probabilistic positive region; probabilistic rough set models; rejection; sequential three-way decision making; Bayesian methods; Computational modeling; Decision making; Decision trees; Probabilistic logic; Rough sets; Testing;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC ), 2011 10th IEEE International Conference on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4577-1695-9
DOI :
10.1109/COGINF.2011.6016129
