103 Result(s)
within
English
Engineering
Computational Intelligence
Mathematical Logic and Foundations
Jia **g
Article
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Article
Dual trapdoor identity-based encryption with keyword search
Identity-based encryption with keyword search (IBEKS) is a useful cryptographic primitive for cloud computing, i.e., it allows a data owner to encrypt and store his data in a cloud storage server, and later th...
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A direct projection-based group decision-making methodology with crisp values and interval data
This paper presents a methodology for group decision-making problems based on a new normalized projection measure, in which the attribute values are provided by decision makers in hybrid form with crisp values...
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Firefly algorithm with adaptive control parameters
Firefly algorithm (FA) is a new swarm intelligence optimization method, which has shown good search abilities on many optimization problems. However, the performance of FA highly depends on its control paramet...
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A Nyström spectral clustering algorithm based on probability incremental sampling
Spectral clustering will map the data points of the original space into a low-dimensional eigen-space to make them linearly separable, so it is able to process the data with complex structures. However, spectr...
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An Improved Adaptive Genetic Algorithm for Solving 3-SAT Problems Based on Effective Restart and Greedy Strategy
An improved adaptive genetic algorithm is proposed for solving 3-SAT problems based on effective restart and greedy strategy in this paper. Several new characteristics of the algorithm are developed. According...
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Automatic detection of boundary points based on local geometrical measures
This paper presents an angle and density-based data preprocessing method. It can be used to simultaneously identify outliers and boundary points (called uniformly boundary points). Detecting boundary points is...
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A novel fuzzy time series forecasting method based on the improved artificial fish swarm optimization algorithm
Recently, many forecasting methods have been proposed for the analysis of fuzzy time series. The main factors that affect the results of the forecasting of these models are partition universe of discourse and ...
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A new definition of cross-entropy for uncertain variables
Cross-entropy for uncertain variables is used to measure the divergence between two uncertainty distributions. Logarithm cross-entropy and quadratic cross-entropy for uncertain variables fail to measure the de...
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Dimension reduction in radio maps based on the supervised kernel principal component analysis
Differently from most existing studies either directly eliminating redundant WiFi APs with trivial importance or adopting unsupervised dimension reduction methods, e.g. principal component analysis (PCA), this...
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Multiobjective optimization of the production process for ground granulated blast furnace slags
The production process of ground granulated blast furnace slag (GGBS) aims to produce products of the best grade and the highest yields. However, grade and yields are two competing objectives which can not be ...
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Open AccessGreen Supplier Selection Based on Dombi Prioritized Bonferroni Mean Operator with Single-Valued Triangular Neutrosophic Sets
The choice of green suppliers involves a large amount of inaccurate, incomplete, and inconsistent information, and the single-valued triangular Neutrosophic number that is an extension of the single-valued Neu...
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Open AccessRough Number—Based Three-Way Group Decisions and Application in Influenza Emergency Management
Group decision-making can effectively deal with complex decision problems in reality and takes important research status in the field of decision-making. In recent years, three-way decision has been a hot topi...
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A time series forecasting based on cloud model similarity measurement
In this paper, a local cloud model similarity measurement (CMSM) is proposed as a novel method to measure the similarity of time series. Time series similarity measurement is an indispensable part for improvin...
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Unknown but interesting recommendation using social penetration
With the recent rise in popularity of social networks, millions of users have included social network Web sites into their daily lives. Traditional social recommendation systems suggest items with high popular...
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Gait identification using fractal analysis and support vector machine
This paper presents the development of wearable sensing system that can be used to study the gait dynamics of human. A tester wearing sensing shoes participates in this study. Human gait information about stan...
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An unsupervised and robust validity index for clustering analysis
The evaluation of clustering results plays an important role in clustering analysis and usually is completed by a validity index or several. But currently existing validity indexes are supervised since they gr...
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A shape similarity-based ranking method of hesitant fuzzy linguistic preference relations using discrete fuzzy number for group decision making
The aim of this paper is to develop a ranking method based on shape similarity applying to group decision-making problems. The proposed expressive method uses a symbolic representation to depict each membershi...
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Local multigranulation decision-theoretic rough set in ordered information systems
As a generalized extension of Pawlak’s rough set model, the multigranulation decision-theoretic rough set model in ordered information systems utilizes the basic set assignment function to construct probabilit...
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Open AccessAn Evolutionary Self-organizing Cost-Sensitive Radial Basis Function Neural Network to Deal with Imbalanced Data in Medical Diagnosis
Class imbalance is a common issue in medical diagnosis. Although standard radial basis function neural network (RBF-NN) has achieved remarkably high performance on balanced data, its ability to classify imbala...
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Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems
Recent researches have shown that deep forest ensemble achieves a considerable increase in classification accuracy compared with the general ensemble learning methods, especially when the training set is small...
