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Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: In this paper, fuzzy concept is introduced to model the uncertainty, and a similarity metric is usedto build a fuzzy relation model among individuals in the social network.The traditional social network is transformed into a fuzzy network by replacing the traditional relationswith fuzzy relation and calculating the global fuzzy measure such as network density and centralizationFinally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain.

Keywords： Time-series network Fuzzy network Fuzzy Markov chain

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Trapezoidal Intuitionistic Fuzzy Aggregation Operator Based on Choquet Integral and Its Application to

Xi-hua Li,Xiao-hong Chen

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 266-276 doi: 10.15302/J-FEM-2015048

Abstract: In this paper, a trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integralThe decision information takes the form of trapezoidal intuitionistic fuzzy numbers and both the importanceOn the basis of the introduction of trapezoidal intuitionistic fuzzy numbers, its operational laws andA trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integral is then definedA new multi-criteria decision-making method based on a trapezoidal intuitionistic fuzzy Choquet integral

Keywords： multi-criteria decision making trapezoidal intuitionistic fuzzy numbers Choquet integral fuzzy measure

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding

Keywords： resilience measure power grid importance measure component recovery

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable metamodel for a particular case because of the lack of information about the actual behavior of a system. In addition, existing studies on metamodels have largely restricted on solving deterministic problems (e.g., data from finite element models), whereas some real-life engineering problems (e.g., data from physical experiment) are stochastic problems with noisy data. In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone metamodels in a weighted sum form. The weight factor is adaptively determined according to the hybrid error metric, which combines global and local error measures to improve the accuracy of the EMs. Furthermore, three typical individual metamodels that can filter noise are selected to construct the EMs to extend their application in practical engineering problems. Three well-known benchmark problems with different levels of noise and three engineering problems are used to verify the effectiveness of the proposed EMs. Results show that the proposed EMs have higher accuracy and robustness than the individual metamodels and other typical EMs in major cases.

Keywords： metamodel ensemble of metamodels hybrid error measure stochastic problem

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Search for a natural scientific measure of economy

John E COULTER

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1, Pages 111-118 doi: 10.1007/s11783-011-0285-7

Abstract: 1950s, is being researched, developed, and applied, especially in China, driven by the desperation to measure

Keywords： climate change financial crisis energy exergy environment

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Similarity measure has long played a critical role and attracted great interest in various areas suchNevertheless, there remains the issue of developing an efficient two-dimensional (2D) robust similarity measurethe properties of subspace, we develop an effective 2D technique, named transformation similarity measureWe present the mathematical features and some odds to reveal the feasible and robust measure mechanism

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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords： incomplete fuzzy information system fuzzy compatible relation fuzzy rough set fuzzy covering fuzzy roughentropy fuzzy knowledge dependency

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which isIn this paper, we elaborate on hesitant fuzzy GDM from these three aspects.The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 27-31

Abstract:

A sort of continued fuzzy operators is given.from applied point of view, relation between the triangle norm operators most in use and the continued fuzzyA new fuzzy synthetic evaluation criterion and method are given.The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows

Keywords： fuzzy mathematics fuzzy synthetic evaluation triangle norm operator continued fuzzy operators

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.

Keywords： remanufacturing uncertain and fuzzy information process planning T-S FNN

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Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of CAE 2001, Volume 3, Issue 3, Pages 52-55

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine the

Keywords： fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity

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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 setsThe three-dimensional membership function of type-2 fuzzy sets provided additional degree of freedomthe proposed controller was more effective than particle swarm optimization (PSO) tuned and type-1 fuzzy

Keywords： power system oscillations thyristor controlled series capacitor (TCSC) type-2 fuzzy logic system intervaltype-2 fuzzy logic controller (IT2FLC)

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell’s mechanism. The development of the yeast two-hybrid, tandem affinity purification, and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data, which make it possible to predict overlapping complexes through computational methods. Research shows that overlapping complexes can contribute to identifying essential proteins, which are necessary for the organism to survive and reproduce, and for life’s activities. Scholars pay more attention to the evaluation of protein complexes. However, few of them focus on predicted overlaps. In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules. Comparison of essential proteins and gene ontology (GO) analysis are also used to assess the quality of overlaps. We perform a comprehensive comparison of serveral overlapping complexes prediction approaches, using three yeast protein-protein interaction (PPI) networks. We focus on the analysis of overlaps identified by these algorithms. Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.

Keywords： Protein-protein interaction network Essential protein modules Overlap Overlap maximum matching ratio

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Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Frontiers in Energy 2015, Volume 9, Issue 3, Pages 272-281 doi: 10.1007/s11708-015-0363-9

Abstract: speed, constant frequency doubly-fed induction generator in the wind turbine generation system by using fuzzyAn intelligent fuzzy inference system is proposed as an alternative of the conventional proportionalFive fuzzy logic controllers are used in the rotor side converter (RSC) for maximum power point tracking(MPPT) algorithm, active and reactive power control loops, and another two fuzzy logic controllers for

Keywords： fuzzy logic wind turbine vector control doubly-fed induction generator (DFIG)

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesbased on the classification on the histograms, which shows that the fuzzy ART neural network can adaptivelythe same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy

Keywords： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time