%0 Journal Article
%T A game-theoretic perspective on rough set analysis<br>A gametheoretic perspective on rough set analysis
%A YAO Jing-tao
%A HERBERT Joseph P
%A <br>YAO Jing tao
%A HERBERT Joseph P
%J 重庆邮电大学学报(自然科学版)
%D 2008
%I 
%X Determining the correct threshold values for the probabilistic rough set approaches has been a heated issue among the community. Existing techniques offer no way in guaranteeing that the calculated values optimize the classification ability of the decision rules derived from this configuration. This article will formulate a game theoretic approach to calculating these thresholds to ensure correct approximation region size. Using payoff tables created from approximation measures and modified conditional risk strategies, we provide the user with tolerance levels for their loss functions. Using the tolerance values, new thresholds are calculated to provide correct classification regions. This will aid in determining a set of optimal region threshold values for decision making.
%K game theory
%K rough set analysis
%K decision-theoretical rough sets
%K probabilistic rough sets<br>game
%K theory
%K rough
%K set
%K analysis
%K decisiontheoretical
%K rough
%K sets
%K probabilistic
%K rough
%K sets
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=C3A6886A9E17581B41D7D92EDAE7D500&yid=67289AFF6305E306&vid=A04140E723CB732E&iid=38B194292C032A66&sid=6490F0E20C4B41AD&eid=88D36036CFF69B3C&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=20