An Evaluation Method of Teaching Quality Using TOPSIS for Intuitionistic Fuzzy Sets

電腦學刊 ◽  
2021 ◽  
Vol 32 (6) ◽  
pp. 239-247
Author(s):  
Fu-Zhong Wu Fu-Zhong Wu ◽  
Qing-Mei Lv Fu-Zhong Wu ◽  
En Fan Qing-Mei Lv
Keyword(s):  
Fuzzy Sets ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Intuitionistic Fuzzy Sets ◽  
Intuitionistic Fuzzy

Dynamic Performance Evaluation of Excitation Control System Based on Intuitionistic Fuzzy Sets Strategy

2015 ◽  
Vol 738-739 ◽  
pp. 977-985
Author(s):  
Wen Chao Zhang ◽  
Xue Ping Gu ◽  
Hai Ping Liang ◽  
Yong Lu ◽  
Yu Han
Keyword(s):  
Control System ◽  
Fuzzy Sets ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Dynamic Performance ◽  
Intuitionistic Fuzzy Sets ◽  
Excitation Control ◽  
Evaluation Indexes ◽  
Comprehensive Evaluation Method ◽  
Intuitionistic Fuzzy

To indicate excitation control system dynamic performances comprehensively and objectively, an excitation control system comprehensive evaluation method based on intuitionistic fuzzy sets and TOPSIS is presented. Evaluation indexes such as the conventional unit excitation output response lag time, excitation voltage rise speed, multiple field strong excitation, excitation control system transient gain, dynamic gain and static gain are mainly used. In the evaluation method, the intuitionistic fuzzy sets strategy is used to determine the index weight of excitation control system and the improved TOPSIS is used to calculate the comprehensive dynamic performance of excitation control system. The presented comprehensive evaluation method is verified by actual operation data of excitation control system of multiple generation sets, and the results show that the proposed evaluation method on the performances of excitation control systems of generating sets is effective and feasible.

One Hundredth of Intuitionistic Fuzzy Sets

2019 ◽  
Vol 10 (3) ◽  
pp. 445-453
Author(s):  
R. Nagalingam ◽  
S. Rajaram
Keyword(s):  
Fuzzy Sets ◽  
Intuitionistic Fuzzy Sets ◽  
Intuitionistic Fuzzy

Probability Theory for Fuzzy Quantum Spaces with Statistical Applications

2017 ◽  
Author(s):  
Renáta Bartková ◽  
Beloslav Riečan ◽  
Anna Tirpáková
Keyword(s):  
Probability Theory ◽  
Fuzzy Sets ◽  
Ergodic Theorem ◽  
Intuitionistic Fuzzy Sets ◽  
Mathematics Students ◽  
Intuitionistic Fuzzy ◽  
Individual Ergodic Theorem ◽  
Recurrence Theorem ◽  
The Individual ◽  
Atanassov Intuitionistic Fuzzy Sets

The reference considers probability theory in two main domains: fuzzy set theory, and quantum models. Readers will learn about the Kolmogorov probability theory and its implications in these two areas. Other topics covered include intuitionistic fuzzy sets (IF-set) limit theorems, individual ergodic theorem and relevant statistical applications (examples from correlation theory and factor analysis in Atanassov intuitionistic fuzzy sets systems, the individual ergodic theorem and the Poincaré recurrence theorem). This book is a useful resource for mathematics students and researchers seeking information about fuzzy sets in quantum spaces.

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