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HESITANT FUZZY INFORMATION MEASURES DERIVED FROM T-NORMS AND S-NORMS | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 9، دوره 15، شماره 5، آذر و دی 2018، صفحه 157-175 اصل مقاله (515.65 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2018.4165 | ||
| نویسندگان | ||
| Bahram Farhadinia* 1؛ Zeshui Xu2 | ||
| 1Department of Mathematics, Quchan University of Technology, Iran | ||
| 2Business School, Sichuan University, Chengdu 610064, P.R. China | ||
| چکیده | ||
| In this contribution, we first introduce the concept of metrical T-norm-based similarity measure for hesitant fuzzy sets (HFSs) {by using the concept of T-norm-based distance measure}. Then, the relationship of the proposed {metrical T-norm-based} similarity {measures} with the {other kind of information measure, called the metrical T-norm-based} entropy measure {is} discussed. The main feature of the proposed { metrical T-norm-based similarity measures} is a possibility of comparing {similarity between HFSs} without regarding what {value is returned by} the similarity measure. {To illustrate the application of the proposed metrical T-norm-based similarity measures, we consider two problems of} medical diagnosis {and pattern recognition} to compare the proposed {metrical T-norm-based similarity measures} with a number of {the} existing HFS similarity measures. | ||
| کلیدواژهها | ||
| hesitant fuzzy set؛ {Metrical T-norm-based information measure}؛ Medical diagnosis؛ {Pattern recognition | ||
| مراجع | ||
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