International Journal of Computational Intelligence Systems

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1039 articles

A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Nonuniform Hypermutation

Xinchao Zhao, Guoshuai Zhao, Shaozhang Niu, Guoli Liu, Zaijin Zou, Shuliang Zhao
Pages: 1 - 17
A new clonal selection immune algorithm with perturbation guiding search and non-uniform hypermutation (nCSIA) is proposed based on the idea of perturbed particle swarm algorithm and non-uniform mutation. The proposed algorithm proportional clones antibody based on the affinity, adaptively adjusts the...

Chaotic Time Series Prediction Using Immune Optimization Theory

Yuanquan Shi, Xiaojie Liu, Tao Li, Xiaoning Peng, Wen Chen, Ruirui Zhang, Yanming Fu
Pages: 43 - 60
To solve chaotic time series prediction problem, a novel Prediction approach for chaotic time series based on Immune Optimization Theory (PIOT) is proposed. In PIOT, the concepts and formal definitions of antigen, antibody and affinity being used for time series prediction are given, and the mathematical...

Application of Bayesian Decision Theory Based on Prior Information in the Multi-Objective Optimization Problem

Xia Lei, Maozhu Jin, Qiang Wang
Pages: 31 - 42
General multi-objective optimization methods are hard to obtain prior information, how to utilize prior information has been a challenge. This paper analyzes the characteristics of Bayesian decision-making based on maximum entropy principle and prior information, especially in case that how to effectively...

Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities

Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Wen-Yau Liang, Yu-Chi Lin
Pages: 29 - 43
Due to the implicit characteristics of learning disabilities (LDs), the diagnosis of students with learning disabilities has long been a difficult issue. Artificial intelligence techniques like artificial neural network (ANN) and support vector machine (SVM) have been applied to the LD diagnosis problem...

Particle Swarm Optimization with Novel Processing Strategy and its Application

Yuanxia Shen, Wang, Chunmei Tap
Pages: 100 - 111
The loss of population diversity is one of main reasons which lead standard particle swarm optimization (SPSO) to suffer from the premature convergence when solving complex multimodal problems. In SPSO, the personal experience and sharing experience are processed with a completely random strategy. It...

Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer's Disease Study Case

Ana Karoline Araujo de Castro, Placido Rogério Pinheiro, Mirian Caliope Dantas Pinheiro, Isabelle Tamanini
Pages: 89 - 99
A hybrid model, combining influence diagrams and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Alzheimer's disease, considering the stages of Clinical Dementia Rating. The modeling...

Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making

Raymond Y.K. Lau, Chapmann C.L. Lai, Yuefeng Li
Pages: 54 - 65
The notion of semantic information granulation is explored to estimate the information specificity or generality of documents. Basically, a document is considered more specific than another document if it contains more cohesive domain-specific terminologies than that of the other one. We believe that...

Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations

Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai
Pages: 112 - 122
Based on multi-dominance discernibility matrices, a non-incremental algorithm RIDDM and an incremental algorithm INRIDDM are proposed by means of Dominance-based Rough Set Approach. For the incremental algorithm, when a new object arrives, after updating one row or one column in the matrix, we could...

Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering

Pawan Lingras, Manish Joshi
Pages: 12 - 28
Researchers have proposed several Genetic Algorithm (GA) based crisp clustering algorithms. Rough clustering based on Genetic Algorithms, Kohonen Self-Organizing Maps, K-means algorithm are also reported in literature. Recently, researchers have combined GAs with iterative rough clustering algorithms...

Three-way Investment Decisions with Decision-theoretic Rough Sets

D. Liu, Y.Y. Yao, T.R. Li
Pages: 66 - 74
The decision-theoretic rough set model is adopted to derive a profit-based three-way approach to investment decision-making. A three-way decision is made based on a pair of thresholds on conditional probabilities. A positive rule makes a decision of investment, a negative rule makes a decision of noninvestment,...

Risk Decision Making Based on Decision-theoretic Rough Set: A Three-way View Decision Model

Huaxiong Li, Xianzhong Zhou
Pages: 1 - 11
Rough set theory has witnessed great success in data mining and knowledge discovery, which provides a good support for decision making on a certain data. However, a practical decision problem always shows diversity under the same circumstance according to different personality of the decision makers....

An Improved Method for Protein Similarity Searching by Alignment of Fuzzy Energy Signatures

Dariusz Mrozek, Bozena Malysiak-Mrozek
Pages: 75 - 88
*Scientific research supported by the Ministry of Science and Higher Education, Poland in years 2008-2010. Grant No. N N516 265835: Protein Structure Similarity Searching in Distributed Multi Agent System †To whom the entire correspondence should be directed: Institute of Informatics, Silesian University...

Expression Detection Based on a Novel Emotion Recognition Method

Xun Gong, Yong Yang, Jianhui Lin, Tianrui Li
Pages: 44 - 53
As facial expression is an essential way to convey human's feelings, in this paper, a dynamic selection ensemble learning method is proposed to analyze their emotion automatically. A feature selection algorithm is proposed at first based on rough set and the domain oriented data driven data mining theory,...

Some Indexes for Comparing and Selecting Partitions

Xuezheng Zhang, Zheng Pei, Yong Liu
Pages: 153 - 164
Based on the equivalence relation, we can partition a set U, formally, different equivalence relations correspond to different partitions of U. In this paper, based on Yager's work, we discuss how to compare the different partitions, moreover, we obtain some indexes to select a better partition from...

A New Minkowski Distance Based on Induced Aggregation Operators

José Merigo, Montserrat Casanovas
Pages: 123 - 133
The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging (IOWA) operator. We call it the induced Minkowski...

A Deterministic Algorithm for Min-max and Max-min Linear Fractional Programming Problems

Qigao Feng, Hongwei Jiao, Hanping Mao, Yongqiang Chen
Pages: 134 - 141
In this paper, a deterministic global optimization algorithm is proposed for solving min-max and max-min linear fractional programming problem (P) which have broad applications in engineering, management science, nonlinear system, economics and so on. By utilizing equivalent problem (Q) of the (P) and...

An Edge-Based Macao License Plate Recognition System

Chi-Man Pun, Wai-Yiu Ho
Pages: 244 - 254
This paper presents a system to recognize Macao license plates. Sobel edge detector is employed to extract the vertical edges, and an edge composition algorithm is proposed to combine the edges into candidate plate regions. They are further examined on the existence of the character "M" by a verification...

Stability Analysis of a Type of Takagi-Sugeno PI Fuzzy Control Systems Using Circle Criterion

Kairui Cao, X.Z. Gao, Kairui Cao, X.Z. Gao, Xianlin Huang, Xiaojun Ban
Pages: 196 - 207
A type of Takagi-Sugeno (T-S) Proportional-Integral (PI) fuzzy controllers is studied. The T-S PI fuzzy controller is formed by a T-S Proportional-Derivative (PD) fuzzy controller connected with an integrator. In this particular structure, the T-S PD fuzzy controller is a weighted sum of some linear...

Banknote Image Retrieval Using Rotated QuaternionWavelet Filters

Shan Gai, Jiafeng Liu, Xianglong Tang
Pages: 268 - 276
A new method of banknote image retrieval is proposed by using new set of rotated quaternion wavelet filters (RQWF) and standard quaternion wavelet transform (QWT) jointly. The robust and rotationally invariant features are extracted from QWT and RQWF decomposed sub-bands of banknote image. Three different...

Tabu Search and an Exact Algorithm for the Solutions of Resource-constrained Project Scheduling Problems

Omer Atli
Pages: 255 - 267
When the project is scheduled with a given set of resources, it is difficult to find the optimal solution. Resourceconstrained scheduling problems (RCPSP) are generally NP-hard. In this paper, a high level heuristic procedure “Tabu Search Algorithm (TSA)” is proposed to provide good solutions to...

Fuzzy Multi-Criteria Selection of Science Parks for Start-up Companies

Alp Ustundag, Mehmet Serdar Kilinc
Pages: 217 - 227
Science parks are crucial for an innovative economic setting since they act as 'development catalysts' driving the startup of newly established high-tech firms. The selection of the appropriate science park becomes a major decision for start-up entrepreneurs since it is a multi-criterion decision problem...

Grey Relational Analysis Method for Intuitionistic Fuzzy Multiple Attribute Decision Making with Preference Information on Alternatives

Guiwu Wei, Hongjun Wang, Rin Lin, Xiaofei Zhao
Pages: 164 - 173
The aim of this paper is to investigate intuitionistic fuzzy multiple attribute decision making problems with preference information on alternatives, in which the information on attribute weights is completely unknown and the attribute values and preference information on alternatives take the form of...

Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools

Gülçin Büyüközkan, Orhan Feyzioglu, Gizem Cifçi
Pages: 184 - 195
In the knowledge economy, a key source of sustainable competitive advantage relies on the way to create, share, and utilize knowledge. Knowledge Management (KM) tools assumed an important role in supporting KM activities. The objective of this paper is to aid decision makers to identify the most appropriate...

Data-driven rank ordering - a preference-based comparison study

Maria Dobrska, Hui Wang, William Blackburn
Pages: 142 - 152
Data driven rank ordering refers to the rank ordering of new data items based on the ordering inherent in existing data items. This is a challenging problem, which has received increasing attention in recent years in the machine learning community. Its applications include product recommendation, information...

Real-Time Hand Gesture Recognition using Motion Tracking

Chi-Man Pun, Hong-Min Zhu, Wei Feng
Pages: 277 - 286
This paper proposes a real-time recognition system for hand gestures, which serves as an alternative of human computer interface. We focus on hand gestures performed by hand motions, and 10 hand signed digits are recognized. Gesturing hand in each video frame is firstly extracted by skin-subtraction...

Minimum Deviation Models for Multiple Attribute Decision Making in Intuitionistic Fuzzy Setting

Guiwu Wei, Xiaofei Zhao
Pages: 174 - 183
With respect to intuitionistic fuzzy multiple attribute decision making problems with preference information on alternatives and incomplete weight information, a method based the minimum deviation is proposed. Firstly, some operational laws of intuitionistic fuzzy numbers, score function and accuracy...

Application of Fuzzy Multi-Objective Linear Programming Model in a Multi-Period Multi-Product Production Planning Problem

Kaveh Taghizadeh, Morteza Bagherpour, Iraj Mahdavi
Pages: 228 - 243
The Multi-Period Multi-Product (MPMP) production planning, as a well known problem in literature, attempts to match production rates of individual products with fluctuated market demand over planning horizon. This study, demonstrates how the conventional MPMP Linear Programming (LP) model may fail to...

A Novel Partial Transmitting Sequence Technique for Peak-to -Average Power Ratio Reduction in Multicarrier Transmission Systems

Ho-Lung Hung
Pages: 208 - 216
As an attractive technique for the reduction of the peak-to-average power ratio (PAPR) of multi-carrier transmission systems is proposed. The conventional partial transmitting sequence (PTS) combining can improve the PAPR statistics of a multi-carrier transmission systems signal. However, the optimum...

Driver Intention Recognition Method Using Continuous Hidden Markov Model

Haijing Hou, Lisheng Jin, Qingning Niu, Yuqin Sun, Meng Lu
Pages: 386 - 393
In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention...

Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability

Yueying Huo, Wenquan Li, Jinhua Zhao, Shoulin Zhu
Pages: 370 - 377
The attention of driver traveling along a long straight line of prairie highway is easy to be distracted. In this paper, the correlation of straight line length and driver's attention is studied through laboratory simulation experiment and regression analysis. It can be theoretically concluded that the...

Tolerance-based Structural Design of Tubular-Structure Loading Equipments

Jiping Lu, Shuiyuan Tang, Jianhua Zuo, Hongli Fan, Zhonghua Jian, Shahid Butt
Pages: 329 - 336
Mechanical loading equipments are wildly used in transportation system. Positioning precision is one of the basic functions of machine tools, and structure design is the key to ensuring accuracy. According to the assembly process of tubular-structure, the paper analyzes motion modes to achieve tubular-structure...

Identifying Method of Drunk Driving Based on Driving Behavior

Xiaohua Zhao, Xingjian Zhang, Jian Rong, Jianming Ma
Pages: 361 - 369
Drunk driving is one of the leading causes contributing to traffic crashes. There are numerous issues that need to be resolved with the current method of identifying drunk driving. Driving behavior, with the characteristic of real-time, was extensively researched to identify impaired driving behaviors....

CyberTORCS: An Intelligent Vehicles Simulation Platform for Cooperative Driving

Ming Yang, Nianfeng Wan, Bing Wang, Chunxiang Wang, Jianping Xie
Pages: 378 - 385
Simulation platforms play an important role in helping intelligent vehicle research, especially for the research of cooperative driving due to the high cost and risk of the real experiments. In order to ease and bring more convenience for cooperative driving tests, we introduce an intelligent vehicle...

Videometrics-based Detection of Vibration Linearity in MEMS Gyroscope

Yong Zhou, Haigang Sun, Shiqiao Gao, Shaohua Niu
Pages: 321 - 328
MEMS gyroscope performs as a sort of sensor to detect angular velocity, with diverse applications in engineering including vehicle and intelligent traffic etc. A balanced vibration of driving module excited by electrostatic driving signal is the base MEMS gyroscope's performance. In order to analyze...

Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model

Wuhong Wang, Yan Mao, Jing Jin, Xiao Wang, Hongwei Guo, Xuemei Ren, Katsushi Ikeuchi
Pages: 297 - 305
The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in...

Traffic Safety through Driver Assistance and Intelligence

Heiner Bubb
Pages: 287 - 296
Future mobility has to keep the safety level that is already achieved and shall even improve it. This paper reviews the research about driver behavior and assesses how far the work has proceeded in the field of assistance and intelligence, which includes: the vehicle's longitudinal and transversal dynamics,...

Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier Dawei Li , Lin Chen , Jiangshan Ma

Dawei Li, Lin Cheng, Jiangshan Ma
Pages: 345 - 352
The probability distribution of duration is a critical input for predicting the potential impact of traffic incidents. Most of the previous duration prediction models are discrete, which divide duration into several intervals. However, sometimes the continuous probability distribution is needed. Therefore...

Optimization and Simulation of Machining Parameters in Radial-axial Ring Rolling Process

Shuiyuan Tang, Jiping Lu, Hongli Fan, Ruizhao Du, Zhonghua Jian, Ning Ma
Pages: 337 - 344
Ring rolling is a complicated process, in which rolling parameters influence directly the quality of ring. It is a process method with high productivity and few waste of material, widely used in transportation industry including automotive, shipbuilding, aerospace etc. During the rolling process of large-sized...

Multi-Body Dynamics Simulation of A Tracked Vehicle Power Train in Consideration of Multi-Source Excitations

Hui Liu, Shengping Fu, Changle Xiang
Pages: 314 - 320
This study proposed a new efficient method to investigate tracked vehicle gear transmission system dynamics applying Finite element theory and multi-body dynamics. Torsional excitation was simulated based on an engine dynamic model by considering flexibility of crankshaft, maximum fire pressure and variable...

Design of DDS based on Hybird-CORDIC Architecture

Yubin Zhang, He Chen, Yingtao Ding, Xiujie Qu
Pages: 306 - 313
Communication technology and its signal processing are basic supportive factors of intelligent transportation system. Because of rapid progress in modern communication engineering, direct digital synthesizer (DDS) is widely used in communications system. However, traditional DDS technology is encountering...

Simulation Analysis on Driving Behavior during Traffic Sign Recognition

Lishan Sun, Liya Yao, Jian Rong, Jinyan Lu, Bohua Liu, Shuwei Wang
Pages: 353 - 360
The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic...

Improved Intelligent Vehicle Localization Using Magnetic Ruler

Chunxiang Wang, Ming Yang, Bing Wang, Haigui Xu, Hao Li
Pages: 394 - 401
This paper proposes an improved intelligent vehicle localization method, which integrates the data from the odometry and the magnetic ruler(MR). The MR is used to detect the magnetic markers, which provides the absolute positioning reference. The data from odometry and the MR are used to localize the...

Quantitative Optimization of Workpiece-fixture System's Clamping Forces

Lu Jiping, Zuo Jianhua, Ma Ning, Zhang Faping, Qian Hanbo
Pages: 402 - 409
The paper discusses the stability of workpiece-fixture system and quantitative optimization of clamping forces during precise machining. Based on the force screw theory and the minimum norm principle, a mathematical model is formulated to calculate the entire passive forces acting on the workpiece. Furthermore,...

A New Reliability Index Based on Fuzzy Process Capability Index for Travel Time in Multi-modal Networks

Seda Ugurlu, Ishan Kaya
Pages: 550 - 565
The variability in travel times is a very important feature in determining the arrival of the passenger at the destination within a given travel time threshold and can be noted as one of the most important characteristic for travel time reliability that is an increasing concern of travelers, because...

Using Artificial Intelligence Techniques to Implement a Multifactor Authentication System

Jackson Phiri, Tie-Jun Zhao, Cong Hui Zhu, Jameson Mbale
Pages: 420 - 430
The recent years have seen a rise in the number of cases of cyber-crime committed through identity theft and fraud. To address this problem, this paper uses adaptive neural-fuzzy inference system, fuzzy logic and artificial neural network to implement a multifactor authentication system through a technique...

An Enhanced MOGWW for the bi-objective Quadratic Assignment Problem

Everardo Gutierrez, Carlos Brizuela
Pages: 530 - 549
This paper proposes an enhanced Multi-objective Go with the Winners (MOGWW) algorithm to solve multi-objective combinatorial optimization problems. The original MOGWW algorithm is equipped with the well known Pareto Local Search (PLS) procedure. In order to assess the performance of the hybridization,...

A hybrid genetic algorithm for the distributed permutation flowshop scheduling problem

Jian Gao, Rong Chen
Pages: 497 - 508
Distributed Permutation Flowshop Scheduling Problem (DPFSP) is a newly proposed scheduling problem, which is a generalization of classical permutation flow shop scheduling problem. The DPFSP is NP-hard in general. It is in the early stages of studies on algorithms for solving this problem. In this paper,...