International Journal of Computational Intelligence Systems

Volume 6, Issue 5, September 2013

1. Multi-step Generation of Bayesian Networks Models for Software Projects Estimations

Raquel Fuentetaja, Daniel Borrajo, Carlos Linares López, Jorge Ocón
Pages: 796 - 821
Software projects estimations are a crucial component of successful software development. There have been many approaches that deal with this problem by using different kinds of techniques. Most of the successful techniques rely on one shot prediction of some variables, as cost, quality or risk, taking...

2. A novel multi-objective particle swarm optimization with -means based global best selection strategy

Chenye Qiu, Chunlu Wang, Xingquan Zuo
Pages: 822 - 835
In this paper, a multi-objective particle swarm optimization algorithm with a new global best () selection strategy is proposed for dealing with multi-objective problems. In multi-objective particle swarm optimization, plays an important role in convergence and diversity of solutions. A -means algorithm...

3. New LMI-based Criteria for Lagrange Stability of Cohen-Grossberg Neural Networks with General Activation Functions and Mixed Delays

Xiaohong Wang, Huan Qi
Pages: 836 - 848
In this paper, the problem on Lagrange stability of Cohen-Grossberg neural networks (CGNNs) with both mixed delays and general activation functions is considered. By virtue of Lyapunov functional and Halanay delay differential inequality, several new criteria in linear matrix inequalities (LMIs) form...

4. Gravitational Co-evolution and Opposition-based Optimization Algorithm

Yang Lou, Junli Li, Yuhui Shi, Linpeng Jin
Pages: 849 - 861
In this paper, a Gravitational Co-evolution and Opposition-based Optimization (GCOO) algorithm is proposed for solving unconstrained optimization problems. Firstly, under the framework of gravitation based co-evolution, individuals of the population are divided into two subpopulations according to their...

5. Particle Swarm Optimizer with Aging Operator for Multimodal Function Optimization

Bo Jiang, Ning Wang, Xiaodong Li
Pages: 862 - 880
This paper proposes a new scheme for preventing a Particle Swarm Optimizer from premature convergence on multimodal optimization problems. Instead of only using fitness evaluation, we use a new index called particle age to guide population towards more promising region of the search space. The particle...

6. A Combination Algorithm of Multiple Lattice-Valued Concept Lattices

Li Yang, Yuhui Wang, Yang Xu
Pages: 881 - 892
With the rapid development of network technology, especially in the internet area, distributed computation and parallel processing of data are urgently needed. This paper studies the combination operation of the lattice-valued concept lattices to realize its distributed computation and parallel processing....

7. Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models

Pedro Henriques Abreu, Daniel Castro Silva, João Mendes-moreira, Luís Paulo Reis, Júlio Garganta
Pages: 893 - 910
In soccer, like in other collective sports, although players try to hide their strategy, it is always possible, with a careful analysis, to detect it and to construct a model that characterizes their behavior throughout the game phases. These findings are extremely relevant for a soccer coach, in order...

8. Digital FIR Filter Design Using Hybrid Random Particle Swarm Optimization with Differential Evolution

Vasundhara, Durbadal Mandal, Sakti Prasad Ghoshal, Rajib Kar
Pages: 911 - 927
This paper presents a novel approach of designing linear phase FIR low pass and high pass filter using Random PSO in hybrid with DE known as Random PSODE (RPSODE). In this paper, the Random PSO is used which utilises the weighted particle to guide the search direction for both explorative and exploitative...

9. A Decision Support System for Course Offering in Online Higher Education Institutes

Ahmada. Kardan, Hamid Sadeghi
Pages: 928 - 942
Prior to every academic semester, every department's administrator is required to offer the best overall set of courses to meet student requirements, instructor needs and department regulations. The key contributions of this research is firstly, determining the potential factors that influence student...

10. Determination of 3-Ary -Resolution in Lattice-valued Propositional Logic LP(X)

Yi Liu, Hairui Jia, Yang Xu
Pages: 943 - 953
One of key issues for -() ary resolution automated reasoning based on lattice-valued logic with truth-value in a lattice implication algebra is to investigate the -() ary resolution of some generalized literals. In this article, the determination of -resolution of any 3-ary generalized literals which...

11. Hybrid Fuzzy Auto-Regressive Integrated Moving Average (FARIMAH) Model for Forecasting the Foreign Exchange Markets

Mehdi Khashei, Farimah Mokhatab Rafiei, Mehdi Bijari
Pages: 954 - 968
Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing forecasters. Fuzzy autoregressive integrated moving average (FARIMA) models are the fuzzy improved version of the autoregressive integrated moving average (ARIMA) models, proposed in order...

12. Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring

Jinping Liu, Weihua Gui, Zhaohui Tang, Huosheng Hu, Jianyong Zhu
Pages: 969 - 986
A novel froth image analysis based production condition recognition method is presented to identify the froth phases under various production conditions. Gabor wavelet transformation is employed to froth image processing firstly due to the ability of Gabor functions in simulating the response of the...

13. New Entropy, Similarity Measure of Intuitionistic Fuzzy Sets and their Applications in Group Decision Making

Xia Liang, Cuiping Wei, Meimei Xia
Pages: 987 - 1001
In this paper, we propose a new entropy measure with geometrical interpretation of intuitionistic fuzzy sets. Compared with the entropy measure provided by Szmidt and Kacprzyk, the new entropy formula in this paper can measure both fuzziness and intuitionism for intuitionistic fuzzy sets. According to...