On the evaluation of the decision performance of an incomplete decision table

  • Authors:

  • Yuhua Qian;Chuangyin Dang;Jiye Liang;Haiyun Zhang;Jianmin Ma

  • Affiliations:

  • Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan 030006, China and Department of Manufacturing Engineering and Engineering Manageme ...;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong;Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan 030006, China and School of Computer and Information Technology, Shanxi University ...;Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan 030006, China and School of Computer and Information Technology, Shanxi University ...;Institute for Information and System Sciences, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2008

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Abstract

As two classical measures, approximation accuracy and consistency degree can be extended for evaluating the decision performance of an incomplete decision table. However, when the values of these two measures are equal to zero, they cannot give elaborate depictions of the certainty and consistency of an incomplete decision table. To overcome this shortcoming, we first classify incomplete decision tables into three types according to their consistency and introduce four new measures for evaluating the decision performance of a decision-rule set extracted from an incomplete decision table. We then analyze how each of these four measures depends on the condition granulation and decision granulation of each of the three types of incomplete decision tables. Experimental analyses on three practical data sets show that the four new measures appear to be well suited for evaluating the decision performance of a decision-rule set extracted from an incomplete decision table and are much better than the two extended measures.