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The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 41-43

Abstract: square method in which the weigh of a group of test data is inversely proportional to the length of the confidenceinterval.that the S-N curve which is gained by the least square method considering the effect of length of the confidenceinterval is more reliable and secure than the S-N curve which is gained by general least square method

Keywords： confidence interval     fatigue life     least square method     S-N curve    

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An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 307-316 doi: 10.1007/s11708-013-0269-3

Abstract: In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlledFor controller design, memberships of system variables were represented using interval type-2 fuzzy sets

Keywords： power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     interval    

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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 237-249 doi: 10.1631/FITEE.1500198

Abstract: We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzyIn our model, experts are asked to express their preferences using linguistic terms characterized by interval

Keywords： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 239-255 doi: 10.1007/s11783-013-0536-x

Abstract: In response to these challenges, an interval joint-probabilistic mixed-integer programming (IJMP) methodIn the IJMP, joint probabilistic constraints are introduced into an interval-parameter mixed-integerprogramming framework, such that uncertainties presented in terms of interval values and random variables

Keywords： interval analysis     mixed integer     joint probabilistic constraint     planning     uncertainty     waste management    

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MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 186-200 doi: 10.1007/s11708-019-0644-9

Abstract: In this paper, interval number optimization and model predictive control are proposed to handle the uncertain-but-boundedFirst of all, interval numbers are used to describe uncertain parameters including hot water demand,Moreover, the traditional thermal dynamic model of electric water heater is transformed into an intervalwhich, the day-ahead load scheduling problem with uncertain parameters is formulated, and solved by intervalSimulation results demonstrate that interval number optimization either in day-ahead optimization or

Keywords： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

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Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 31-35

Abstract: For this problem, present decision-makers often define an interval number to denote this index value,but none has studied the interval number decision model in grey target decision.In this paper, the interval number, the distance of m dimension interval number and its characteristicsnumber is proved, then, the method to normalize the interval number is developed., which extends the grey target decision model from real number sequence to interval number sequence

Keywords： interval number     grey target decision     model     application    

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A refined risk explicit interval linear programming approach for optimal watershed load reduction with

Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 129-140 doi: 10.1007/s11783-014-0683-8

Abstract: To enhance the effectiveness of watershed load reduction decision making, the Risk Explicit Interval

Keywords： refined risk explicit interval linear programming     decision making     objective-constraint uncertainty tradeoff    

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Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 57-61

Abstract: which expanded unnecessarily and distorted the information heavily, this paper defined the standard intervalFurthermore, it designed the transformation rule from general grey number to the standard interval greynumber, and developed the operation principle of the standard interval grey number to solve preferablyLast, the paper established the GM (1,1) model based on the interval grey number and got a good effect

Keywords： interval grey number     standard interval grey number     token     GM(1     1) model     computation rules    

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A novel confidence estimation method for heterogeneous implicit feedback Article

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1817-1827 doi: 10.1631/FITEE.1601468

Abstract: treat the data as an indication of positive and negative preferences associated with vastly varying confidence, rather than degree of preference, and a larger value indicates a higher confidence, although this worksExisting methods cannot efficiently infer confidence levels from heterogeneous implicit feedback.In this paper, we propose a novel confidence estimation approach to infer the confidence level of userThen we apply the inferred confidence to both point-wise and pair-wise matrix factorization models, and

Keywords： Recommender systems     Heterogeneous implicit feedback     Confidence     Collaborative filtering     E-commerce    

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Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: interactive segmentation framework, called interactive MEdical image segmentation with self-adaptive ConfidenceCAlibration (MECCA), which combines action-based confidence learning and multi-agent reinforcement learningA novel confidence network is learned by predicting the alignment level of the action with short-termA confidence-based reward-shaping mechanism is then proposed to explicitly incorporate confidence in

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning    

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Attribute reduction in interval-valued information systems based on information entropies Article

Jian-hua DAI,Hu HU,Guo-jie ZHENG,Qing-hua HU,Hui-feng HAN,Hong SHI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 919-928 doi: 10.1631/FITEE.1500447

Abstract: Interval-valued data appear as a way to represent the uncertainty affecting the observed values.Dealing with interval-valued information systems is helpful to generalize the applications of rough setAttribute reduction is a key issue in analysis of interval-valued data.Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data.So far, there have been few studies on attribute reduction methods for interval-valued data.

Keywords： Rough set theory     Interval-valued data     Attribute reduction     Entropy    

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Probabilistic safety assessment of self-centering steel braced frame

Navid RAHGOZAR, Nima RAHGOZAR, Abdolreza S. MOGHADAM

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 163-182 doi: 10.1007/s11709-017-0384-z

Abstract: Margin of safety, confidence level, and mean annual frequency of the self-centering archetypes for their

Keywords： self-centering steel braced frame     mean annual frequency     safety assessment     confidence level     margin of    

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Interval type-2 fuzzy logic based radar task priority assignment method for detecting hypersonic-glide Research Articles

Fanqing MENG, Kangsheng TIAN,maoximengruizhi@126.com,tiankangsheng@sohu.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 488-501 doi: 10.1631/FITEE.2000560

Abstract: A radar task method based on was designed to solve the problem of resource management for to detect hypersonic-glide vehicles (HGVs). The mathematical model of the radar task and the motion and detection models of HGVs are described in detail. The target threat of an HGV is divided into maneuver, speed, azimuth, and distance threats. In the radar task method based on IT2FLS, the maneuver factor, speed, azimuth difference, distance, and initial priority are input variables. The radar task priority is the output variable. To reduce the number of fuzzy rules and avoid rule explosion, an IT2FLS with a hierarchical structure was designed. Finally, the feasibility of the task method was verified by simulations. Simulation results showed that the method based on IT2FLS has a higher precise tracking rate, mean initial priority, and target threat degree, and a shorter offset time.

Keywords： Hypersonic-glide vehicle (HGV)     Phased-array radar     Interval type-2 fuzzy logic system (IT2FLS)     Priority    

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Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 71-76

Abstract: style="text-align: justify;">In this paper,  at first research of relation between correlation-intervaland estimation accuracy is carried out,  and the optimal correlation-interval is proved to be existentThen some special characteristics of the optimal correlation-interval are explored.Based on them an iterative correlation-interval optimized (CIO) algorithm is proposed. It optimizes the correlation- interval and calculates the Doppler spread by increasing the resolution

Keywords： Doppler spread     autocorrelation     optimization     iteration    

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The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm for Chinese handwritten character recognition

Ding Xiaoqing,Fu Qiang

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 19-24

Abstract: Besides, it updates sample weights according to the generalized confidence which is simple and effective

Keywords： multiclass Adaboost algorithm     Chinese handwritten character recognition     generalized confidence     modified    

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Title Author Date Type Operation

The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Journal Article

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Journal Article

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Journal Article

An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Journal Article

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Journal Article

Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Journal Article

A refined risk explicit interval linear programming approach for optimal watershed load reduction with

Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO

Journal Article

Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Journal Article

A novel confidence estimation method for heterogeneous implicit feedback

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article

Attribute reduction in interval-valued information systems based on information entropies

Jian-hua DAI,Hu HU,Guo-jie ZHENG,Qing-hua HU,Hui-feng HAN,Hong SHI

Journal Article

Probabilistic safety assessment of self-centering steel braced frame

Navid RAHGOZAR, Nima RAHGOZAR, Abdolreza S. MOGHADAM

Journal Article

Interval type-2 fuzzy logic based radar task priority assignment method for detecting hypersonic-glide

Fanqing MENG, Kangsheng TIAN,maoximengruizhi@126.com,tiankangsheng@sohu.com

Journal Article

Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Journal Article

The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm for Chinese handwritten character recognition

Ding Xiaoqing,Fu Qiang

Journal Article