کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
535200 | 870330 | 2007 | 10 صفحه PDF | دانلود رایگان |

This paper addresses the issue of information-theoretic discrimination measures for intuitionistic fuzzy sets (IFSs). Although many measures of distance, similarity, dissimilarity, and correlation between IFSs have been proposed, there is no reference regarding information-driven measures used for comparison between sets. In this work we introduce the concepts of discrimination information and cross-entropy in the intuitionistic fuzzy setting and we derive an extension of the De Luca–Termini nonprobabilistic entropy for IFSs. Based on this entropy, we reveal an intuitive and mathematical connection between the notions of entropy for fuzzy sets (FSs) and IFSs in terms of fuzziness and intuitionism. Finally, we demonstrate the efficiency of the proposed discrimination information measure for pattern recognition, medical diagnosis, and image segmentation.
Journal: Pattern Recognition Letters - Volume 28, Issue 2, 15 January 2007, Pages 197–206