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Multi-granulation rough set: from crisp to fuzzy case
Xi-Bei Yang,Xiaoning Song,Huili Dou,Jingyu Yang 원광대학교 기초자연과학연구소 2011 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.1 No.1
Multi–granulation is an improvement of the classical rough set theory since it uses a family of binary relations instead of of a single indiscernibility relation for the constructing of approximation. In this paper, the multi–granulation rough set approach is further generalized into fuzzy environment. A family of fuzzy $T$–similarity relations are used to define the optimistic and pessimistic fuzzy rough sets respectively. The basic properties about these fuzzy rough sets are then discussed. Finally, the relationships among single relation based fuzzy rough set, optimistic and pessimistic multi–granulation fuzzy rough sets are addressed.
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Optimal type II fuzzy neural network controller for Eight-Rotor MAV
Xiangjian CHEN,Di Li,Xi-Bei Yang,Yuecheng Yu 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.4
This paper focuses on modeling and intelligent control of the new eight-rotor MAV which is used to solvethe problem of low coefficient proportion between lift and gravity for QuadrotorMAV. The dynamic and kinematicalmodeling for the eight-rotor MAV.Neuro-Fuzzy adaptive controller is proposed which is composed of two type-IIfuzzy neural networks (T-IIFNNs) and one PD controller: The PD controller is adopted to control the attitude, oneof the T-IIFNNs is designed to learn the inverse model of eight-rotor MAV on-line, the other one is the copy of theformer one to compensate for model errors and external disturbances, both structure and parameters of T-IIFNNs aretuned on-line at the same time, and then the stability of the eight-rotor MAV closed-loop control system is provedusing Lyapunov stability theory. Meanwhile ,in order to reduce the computation work, the type-reduction andmodel construction process have been improved. For the issue of type reduction, a novel improved EKM algorithmis developed for improving the EKM algorithm. The proposed algorithm provides two improvements on the EKMalgorithm. For the issue of rules redundant, the concept of normalized difference is proposed to describe the changeof adjacent singular value so as to reflect the essential differences between redundant rules and important rules. Then the number of effective singular can be determined according to its critical point, and the type-2 fuzzy modelis constructed with rules located by TLS decomposition. Finally, the validity of the proposed control method hasbeen verified through real-time experiments. The experimental results show that the performance of Neuro-Fuzzyadaptive controller performs very well under sensor noise and external disturbances.
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Radar Emitter Signals Identification with a Optimal Recurrent Type 2 Wavelet Fuzzy Neural Network
Xiang-jian Chen,Di Li,Xi-Bei Yang,Hongmei Li 한국항공우주학회 2018 International Journal of Aeronautical and Space Sc Vol.19 No.3
One optimal recurrent type 2-wavelet fuzzy neural network (RT2WFNN) is proposed in this paper to deal with the problem of emitter identification caused by some types of noise. The RT2WFNN has both an on-line parameter and structure learning ability. The new adaptive method based on gradient decent with Lyapunov theorem used for parameter learning can improve the learning ability of RT2WFNN; the type 2 FCM and optimal improved EKM algorithm are used to select the cluster centers of the membership functions in the antecedent part of fuzzy rules of the RT2WFNN for shortening the adjustment time. A number of simulations are presented to demonstrate the identification capability of the RT2WFNN algorithm for the radar emitter identification. The simulation and actual experimental results illustrated that the proposed RT2WFNN cannot only have better identification capability, but also is relatively more insensitive to noise and accelerate the computing speed.
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Jiang, Chang,Liao, Fang-Xin,Rong, Yu-Ming,Yang, Qiong,Yin, Chen-Xi,He, Wen-Zhuo,Cai, Xiu-Yu,Guo, Gui-Fang,Qiu, Hui-Juan,Chen, Xu-Xian,Zhang, Bei,Xia, Liang-Ping Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13
Objective: To compare the efficacy of taxane-based regimens in the first line setting retrospectively in Chinese patients with recurrent and/or metastatic esophageal cancer. Methods: We analyzed 102 recurrent and/or metastatic esophageal cancer patients who received taxanes-based regimens in a first-line setting from January 2009 to December 2013. Sixteen (15.7%) patients were administered Nab-PTX based chemotherapy and 86 patients (84.3%) received paclitaxel (PTX) or docetaxel (DTX) based chemotherapy. Patients in the PTX/DTX group could be further divided into TP (71 patients) and TPF (15 patients) groups. Results: The objective response rate (ORR) of all patients was 20.6%, and the disease control rate (DCR) was 67.6%. The median overall survival (OS) was 10.5 months (95% CI 10.1-16.4) and the median progression-free survival (PFS) was 6.04 months (95% CI 5.09-7.91). The DCR was higher in the TPF group than the TP group (93.3% vs. 59.1%; p = 0.015 ). There were no significant differences in ORR, OS, and PFS among Nab-PTX, TPF and TP groups. Conclusions: The three regimens of Nab-PTX based, TP and TPF proved active in a first line setting of Chinese patients with recurrent and/or metastatic esophageal cancer, and should thus be regarded as alternative treatments.
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