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Showing papers in "Information Sciences in 2016"


Journal ArticleDOI
TL;DR: An extended TOPSIS method and an aggregation-based method respectively for multi-attribute group decision making (MAGDM) with probabilistic linguistic information, and apply them to a practical case concerning strategy initiatives.

807 citations


Journal ArticleDOI
TL;DR: A novel approach based on deep learning for active classification of electrocardiogram (ECG) signals by learning a suitable feature representation from the raw ECG data in an unsupervised way using stacked denoising autoencoders (SDAEs) with sparsity constraint.

507 citations


Journal ArticleDOI
TL;DR: A two-dimensional Logistic-adjusted-Sine map (2D-LASM) is proposed that has better ergodicity and unpredictability, and a wider chaotic range than many existing chaotic maps.

496 citations


Journal ArticleDOI
TL;DR: A multi-population based approach is proposed to realize the adapted ensemble of multiple strategies of differential evolution, thereby resulting in a new DE variant named multi- Population ensemble DE (MPEDE) which simultaneously consists of three mutation strategies.

426 citations


Journal ArticleDOI
TL;DR: A closeness index-based Pythagorean fuzzy QUALIFLEX method is developed to address hierarchical multicriteria decision making problems within Pythagorian fuzzy environment based on PFNs and IVPFNs and can deal effectively with the hierarchal structure of criteria.

360 citations


Journal ArticleDOI
TL;DR: An improved method to construct the BPA based on the confusion matrix is proposed that takes into account both the precision rate and the recall rate of each class.

350 citations


Journal ArticleDOI
TL;DR: This paper presents a comparative study of type-2 fuzzy logic systems with respect to intervaltype-2 and type-1 fuzzy Logic systems to show the efficiency and performance of a generalized type- 2 fuzzy logic controller (GT2FLC) to design the fuzzy controllers of complex non-linear plants.

350 citations


Journal ArticleDOI
TL;DR: Surprisingly, it is found that the direct link plays an important performance enhancing role in RVFL, while the bias term in the output neuron had no significant effect and the ridge regression based closed-form solution was better than those with Moore-Penrose pseudoinverse.

343 citations


Journal ArticleDOI
TL;DR: A comprehensive survey of the earliest work and recent advances on network training is presented as well as some suggestions for future research.

290 citations


Journal ArticleDOI
TL;DR: This paper redefine some more logical operational laws for linguistic terms, hesitant fuzzy linguistic elements (HFLEs) and probabilistic linguistic term sets (PLTSs) based on two equivalent transformation functions to keep the operation results more reasonable in decision making with linguistic information.

274 citations


Journal ArticleDOI
TL;DR: The experimental results demonstrate that the proposed clustering algorithm can find cluster centers, recognize clusters regardless of their shape and dimension of the space in which they are embedded, be unaffected by outliers, and can often outperform DPC, AP, DBSCAN and K-means.

Journal ArticleDOI
TL;DR: The results proved that the combinatorial double auction-based resource allocation model is an appropriate market-based model for cloud computing because it allows double-sided competition and bidding on an unrestricted number of items, which causes it to be economically efficient.

Journal ArticleDOI
TL;DR: A novel classification scheme is introduced by distinguishing between methods for deterministic and random graphs for a better understanding of the methods, their challenges and, finally, for applying the methods efficiently in an interdisciplinary setting of data science to solve a particular problem involving comparative network analysis.

Journal ArticleDOI
TL;DR: The RVFL network overall outperforms the non-ensemble methods, namely the persistence method, seasonal autoregressive integrated moving average (sARIMA), artificial neural network (ANN).

Journal ArticleDOI
TL;DR: A novel framework with dedicated combination of data prediction, compression, and recovery to simultaneously achieve accuracy and efficiency of the data processing in clustered WSNs to reduce the communication cost while guaranteeing the dataprocessing and data prediction accuracy.

Journal ArticleDOI
TL;DR: This study provides a connection between two different models based on linguistic 2-tuples and proves the equivalence of the linguistic computational models to handle ULTSs, and proposes a novel CW methodology where the hesitant fuzzy linguistic term sets (HFLTSs) can be constructed based on ULtss using a numerical scale.

Journal ArticleDOI
TL;DR: An optimization method is used to efficiently design the generalized type-2 fuzzy system to improve the control performance and the proposed method for control is applied to a non-linear control problem to test the advantages of the proposed approach.

Journal ArticleDOI
TL;DR: In this article, the negation, union, and intersection operations on PHFLTSs are defined, and a transformation algorithm is proposed to convert the proportional comparative linguistic pairs into PHFLTs.

Journal ArticleDOI
TL;DR: A hybrid MCDM method combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA) techniques, which can guide a decision maker in making a reasonable judgment without requiring professional skills or extensive experience is presented.

Journal ArticleDOI
TL;DR: An overview on Big Data is presented including four issues, namely: concepts, characteristics and processing paradigms of Big data; the state-of-the-art techniques for decision making in Big Data; felicitous decision making applications of Big Data in social science; and the current challenges ofBig Data as well as possible future directions.

Journal ArticleDOI
TL;DR: Experimental results and security analysis demonstrate that the proposed algorithm has a high security, fast speed and can resist various attacks.

Journal ArticleDOI
TL;DR: The proposed fuzzy forecasting method uses the particle swarm optimization techniques to get the optimal partition of the intervals in the universe of discourse and uses the K-means clustering algorithm to cluster the subscripts of the fuzzy sets of the current states of the fuzzified historical testing datum and to divide the constructed fuzzy logical relationships into fuzzy logical relationship groups for increasing the forecasting accuracy rates.

Journal ArticleDOI
Maoguo Gong1, Jianan Yan1, Bo Shen1, Lijia Ma1, Qing Cai1 
TL;DR: In this study, an optimization model based on a local influence criterion is established for the influence maximization problem and a discrete particle swarm optimization algorithm is proposed to optimize theLocal influence criterion.

Journal ArticleDOI
TL;DR: The advantage and effectiveness of the proposed criteria will be shown through the comparison of maximum delay bounds with some results obtained by recently published papers via four numerical examples.

Journal ArticleDOI
TL;DR: This paper proposes a novel local feature descriptor, called a local feature statistics histogram (LFSH), for efficient 3D point cloud registration, and an optimized sample consensus (OSAC) algorithm is developed to iteratively estimate the optimum transformation from point correspondences.

Journal ArticleDOI
TL;DR: This paper addresses adaptive neural control for a class of stochastic nonlinear systems which are not in strict-feedback form and guarantees that all the closed-loop signals are bounded and the tracking error converges to a sufficiently small neighborhood of the origin.

Journal ArticleDOI
TL;DR: The experimental results show that the proposed similarity measure between intuitionistic fuzzy sets can overcome the drawbacks of the existing similarity measures.

Journal ArticleDOI
TL;DR: This paper first proposes quaternion-valued neural networks (QVNNs) with unbounded time-varying delays with sufficient conditions on the global µ-stability in the form of both complex-valued and real-valued linear matrix inequalities (LMIs).

Journal ArticleDOI
TL;DR: The proposed MCDM method based on the TOPSIS method and similarity measures between intuitionistic fuzzy values (IFVs) can overcome the drawbacks of Joshi and Kumar's method, Wang and Wei's method and Wu and Chen's method.

Journal ArticleDOI
TL;DR: Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods on scene classification of local and global spatial features.