کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
403952 | 677375 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure](/preview/png/403952.png)
چکیده انگلیسی
This article proposes a new axiomatic definition of entropy of interval-valued fuzzy sets (IVFSs) and discusses its relation with similarity measure. First, we propose an axiomatic definition of entropy for IVFS based on distance which is consistent with the axiomatic definition of entropy of a fuzzy set introduced by De Luca, Termini and Liu. Next, some formulae are derived to calculate this kind of entropy. Furthermore we investigate the relationship between entropy and similarity measure of IVFSs and prove that similarity measure can be transformed by entropy. Finally, a numerical example is given to show that the proposed entropy measures are more reasonable and reliable for representing the degree of fuzziness of an IVFS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 22, Issue 6, August 2009, Pages 449–454
Journal: Knowledge-Based Systems - Volume 22, Issue 6, August 2009, Pages 449–454
نویسندگان
Hongying Zhang, Wenxiu Zhang, Changlin Mei,