کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6853692 | 1437241 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
T-S fuzzy prediction on competitive structure model and evaluation system of emerging industry innovation alliance
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In order to improve the effectiveness of research on the evaluation system of emerging industry, a competitive analysis model of industry innovation alliance based on the simultaneous evaluation of fractional T-S fuzzy system is proposed. Firstly, considering the relevant requirements of industry transformation and upgrading, establish a structural evaluation model for the competitiveness of emerging industry innovation alliance; secondly, give the T-S fuzzy prediction and prove the asymptotic stability theorem of prediction system, and on this basis, prove the asymptotic stability of the fractional T-S fuzzy error system, and give the selection method of the gain matrix, to achieve effectiveness of the structural evaluation model for the competitiveness of the industry innovation alliance; finally, the effectiveness of the proposed algorithm is verified by empirical analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 192-197
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 192-197
نویسندگان
Lian Yuan-Qiang,