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Reduct and Attribute Order 被引量:24

Reduct and attribute order
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摘要 Based on the principle of discernibility matrix, a kind of reduction algorithm with attribute order has been developed and its solution has been proved to be complete for reduct and unique for a given attribute order. Being called the reduct problem, this algorithm can be regarded as a mapping R = Reduct(S) from the attribute order space Theta to the reduct space R for an information system <U, C boolean OR D>, where U is the universe and C and D are two sets of condition and decision attributes respectively. This paper focuses on the reverse problem of reduct problem S = Order(R), i.e., for a given reduct R of an information system, we determine the solution of S = Order(R) in the space Theta. First, we need to prove that there is at least one attribute order S such that S = Order(R). Then, some decision rules are proposed, which can be used directly to decide whether the pair of attribute orders has the same reduct. The main method is based on the fact that an attribute order can be transformed into another one by moving the attribute for limited times. Thus, the decision of the pair of attribute orders can be altered to the decision of the sequence of neighboring pairs of attribute orders. Therefore, the basic theorem of neighboring pair of attribute orders is first proved, then, the decision theorem of attribute order is proved accordingly by the second attribute. Based on the principle of discernibility matrix, a kind of reduction algorithm with attribute order has been developed and its solution has been proved to be complete for reduct and unique for a given attribute order. Being called the reduct problem, this algorithm can be regarded as a mapping R = Reduct(S) from the attribute order space Theta to the reduct space R for an information system <U, C boolean OR D>, where U is the universe and C and D are two sets of condition and decision attributes respectively. This paper focuses on the reverse problem of reduct problem S = Order(R), i.e., for a given reduct R of an information system, we determine the solution of S = Order(R) in the space Theta. First, we need to prove that there is at least one attribute order S such that S = Order(R). Then, some decision rules are proposed, which can be used directly to decide whether the pair of attribute orders has the same reduct. The main method is based on the fact that an attribute order can be transformed into another one by moving the attribute for limited times. Thus, the decision of the pair of attribute orders can be altered to the decision of the sequence of neighboring pairs of attribute orders. Therefore, the basic theorem of neighboring pair of attribute orders is first proved, then, the decision theorem of attribute order is proved accordingly by the second attribute.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2004年第4期429-449,共21页 计算机科学技术学报(英文版)
基金 国家重点基础研究发展计划(973计划),国家自然科学基金,国家高技术研究发展计划(863计划)
关键词 REDUCT attribute order rough set reduct attribute order rough set
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参考文献3

  • 1Wang Jue, Wang Ju. Reduct algorithms on discernibility matrix: The ordered attributes method. J. Computer Science and Technology, 2001, 16(6): 489-504.
  • 2Skowron A, Rauszer C. The discernibility matrices and functions in information systems. Intelligent Decision Support Handbook of Applications and Advance of the Rough Sets Theory, Slowinski R et al. (eds.), 1991,pp.331-362.
  • 3Pawlak Z. Rough sets. Int. J. Comput. Inform. Sci.,1982, 11(5): 341-356.

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