International Journal of Computational Intelligence Systems

Volume 7, Issue 3, June 2014

1. Application of Artificial Capital Market in Task Allocation in Multi-robot Foraging

Adel Akbarimajd, Ghader Simzan
Pages: 401 - 417
Because of high speed, efficiency, robustness and flexibility of multi-agent systems, in recent years there has been an increasing interest in the art of these systems. Artificial market mechanisms are one of the well-known negotiation multi-agent protocols in multi-agent systems. In this paper artificial...

2. -Quasi-Lock Semantic Resolution Method Based on Lattice-Valued Logic

Xiaomei Zhong, Yang Xu, Jun Liu, Shuwei Chen
Pages: 418 - 431
Based on the general form of -resolution principle for a lattice-valued logic with truth-values defined in a lattice-valued logical algebra structure - lattice implication algebra, the further extended -resolution method in this lattice-valued logic is discussed in the present paper in order to increase...

3. Local Semantic Indexing for Resource Discovery on Overlay Network Using Mobile Agents

M. Singh, X. Cheng, R. Belavkin
Pages: 432 - 455
One of the most crucial problems in a peer-to-peer system is locating of resources that are shared by various nodes. Various techniques suggested in literature suffer from drawbacks viz. saturation of network, inability to locate multi-keyword based resource or locate resource based on semantics. We...

4. Integrated ANN-HMH Approach for Nonlinear Time-Cost Tradeoff Problem

Bhupendra Kumar Pathak, Sanjay Srivastava
Pages: 456 - 471
This paper presents an integrated Artificial Neural Network - Hybrid Meta Heuristic(ANN-HMH) method to solve the nonlinear time-cost tradeoff(TCT) problem of real life engineering projects. ANN models help to capture the existing nonlinear time-cost relationship in project activities. ANN models are...

5. A multi-class IC package type classifier based on kernel-based nonlinear LS-SVM method

Yung-Hsiang Hung, Mei-Ling Huang
Pages: 472 - 480
Least Squares Support Vector Machine (LS-SVM) is powerful to solve problems such as multi-class nonlinear classification. In this study, a LS-SVM with kernel-based was applied to multi-class IC packaging type dataset classification problem. In the first stage, the greedy search algorithm in feature selection...

6. Empirical Mode Decomposition and Rough Set Attribute Reduction for Ultrasonic Flaw Signal Classification

Peng Yang, Qintian Yang
Pages: 481 - 492
Feature extraction and selection are the most important techniques for ultrasonic flaw signal classification. In this study, empirical mode decomposition (EMD) is used to obtain the intrinsic mode functions (IMFs) of original signal, and their corresponding traditional time and frequency domain based...

7. A Component-based Intelligent Seamless Service Migration Mechanism and Flexible Communication Protocol in Pervasive Computing Systems

Haibin Cai, Chao Peng, Yue Zhang, Linhua Jiang
Pages: 493 - 505
In pervasive computing systems, service selection and fault tolerance are two primary factors, which determines reliability and efficient of service selection system. In this paper, according on ANN-based (Artificial Neural Network) service selection model, we extend the definition and formal description...

8. Motion Key-frames extraction based on amplitude of distance characteristic curve

Qiang Zhang, Xiang Xue, Dongsheng Zhou, Xiaopeng Wei
Pages: 506 - 514
The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured...

9. An Immune Evolutionary Approach for the Label Printing Problem

Yi-Chih Hsieh, Peng-Sheng You
Pages: 515 - 523
In this short paper, the label printing problem (LPP) is investigated. The LPP can be formulated as a nonlinear integer programming problem and it aims to minimize the total wastage of labels under a fixed number of templates with subject to the minimal required quantities of various labels. Since the...

10. Induced Atanassov's interval-valued intuitionistic fuzzy hybrid Choquet integral operators and their application in decision making

Fanyong Meng, Hao Cheng, Qiang Zhang
Pages: 524 - 542
Based on the Choquet integral and the generalized Shapley function, two new induced Atanassov's interval-valued intuitionistic fuzzy hybrid aggregation operators are defined, which are named as the induced generalized Shapley Atanassov's interval-valued intuitionistic fuzzy hybrid Choquet arithmetical...

11. Feature selection for monotonic classification via maximizing monotonic dependency

Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu
Pages: 543 - 555
Monotonic classification is a special task in machine learning and pattern recognition. As to monotonic classification, it is assumed that both features and decision are ordinal and there is the monotonicity constraints between the features and decision. Little work has been focused on feature selection...

12. Generalized Modus Tollens with Linguistic Modifiers for Inverse Approximate Reasoning

Le Anh Phuong, Tran Dinh Khang
Pages: 556 - 564
Based on our previous researchs about generalized modus ponens (GMP) with linguistic modifiers for If … Then rules, this paper proposes new generalized modus tollens (GMT) inference rules with linguistic modifiers in linguistic many–valued logic framework with using hedge moving rules for...

13. A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network

L.F. Escudero, S. Muñoz
Pages: 565 - 581
In this work we present the first stage of a two-stage approach for designing rapid transit networks, where the stations and links to be constructed are selected by solving an integer linear optimization model that maximizes an estimation of the number of trips through the rapid transit network. It is...

14. A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance

Rafik Lasri, Ignacio Rojas, Hector Pomares, Olga Valenzuela
Pages: 582 - 594
In this paper, a temperature control in real time control process was presented using several control algorithms. A quantitative comparison based on the real power consumption and (the precision and the robustness) of these controllers during the same control process and under the same conditions will...

15. Consistency and stability in aggregation operators: An application to missing data problems

D. Gómez, K. Rojas, J. Montero, J. T. Rodríguez, G. Beliakov
Pages: 595 - 604
In this work we analyze the key issue of the relationship that should hold between the operators in a family {} of aggregation operators in order to understand they properly define a whole. Here we extend some of the ideas about stability of a family of aggregation operators into a more general framework,...