International Journal of Computational Intelligence Systems

Volume 6, Issue 6, December 2013

1. IFI-ideals of lattice implication algebras

Hua Zhu, Jianbin Zhao, Yang Xu
Pages: 1002 - 1011
The notion of –ideal is introduced in lattice implication algebras. Firstly, the equivalent conditions of –ideals and –ideals are given in lattice implication algebras. Then the proposition of –ideal is investigated in lattice implication algebras. Next, the relations between...

2. Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps

Maikel León, Gonzalo Nápoles, Rafael Bello, Lusine Mkrtchyan, Benoît Depaire, Koen Vanhoof
Pages: 1012 - 1039
Although the individuals' transport behavioural modelling is a complex task, it can produce a notable social and economic impact. In this paper, Fuzzy Cognitive Maps are explored to represent the behaviour and operation of such complex systems. An automatic approach to extract mental representations...

3. Diameter Constrained Fuzzy Minimum Spanning Tree Problem

Sk. Md. Abu Nayeem, Madhumangal Pal
Pages: 1040 - 1051
In this paper, we have studied the constrained version of the fuzzy minimum spanning tree problem. Costs of all the edges are considered as fuzzy numbers. Using the measure, a generalization of credibility measure, the problem is formulated as chance-constrained programming problem and...

4. A New Model for Prediction of the Performance of a Cappuccino Pod

Linhua Jiang, Hua Pan, Haibin Cai
Pages: 1052 - 1058
In recent years a lot of attention and efforts have been dedicated on optimizing the design and quality of coffee pods. These would be applicable on professional as well as on household machines such as Senseo or Nestle. By providing a new method to describe the mechanisms of the brewing process within...

5. Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition

Di Zhang, Jiazhong He, Yun Zhao
Pages: 1059 - 1071
Many previous studies have shown that class classification can be greatly improved by kernel Fisher discriminant analysis (KDA) technique. However, KDA only captures global geometrical structure and disregards local geometrical structure of the data. In this paper, we propose a new feature extraction...

6. Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features

Ashfaqur Rahman
Pages: 1072 - 1081
In this paper we present a novel approach to produce benthic habitat maps from sea floor images in Derwent estuary. We have developed a step–by–step segmentation method to separate sea–grass, sand, and rock from the sea floor image. The sea–grass was separated first using color...

7. Lossless Compression of Medical Images Using a Dual Level DPCM with Context Adaptive Switching Neural Network Predictor

Emjee Puthooran, R S Anand, S Mukherjee
Pages: 1082 - 1093
A novel dual level differential pulse code modulation (DL-DPCM) is proposed for lossless compression of medical images. The DL-DPCM consists of a linear DPCM followed by a nonlinear DPCM namely, context adaptive switching neural network predictor (CAS-NNP). The CAS-NNP adaptively switches between three...

8. An Adaptive Differential Evolution Algorithm Based on New Diversity

Huan Lian, Yong Qin, Jing Liu
Pages: 1094 - 1107
A DE approach based on a new measure of population diversity and a novel parameter control mechanism is proposed with the aim of introducing a good behavior of the algorithm. The ratio of the new defined population diversity of different generations is equal to that of the population variance, therefore...

9. Alphanumeric Character Recognition Based on BP Neural Network Classification and Combined Features

Yong Luo, Shuwei Chen, Xiaojuan He, Xue Jia
Pages: 1108 - 1115
This paper puts forward a new method of alphanumeric character recognition based on BP neural network classification and combined features. This method firstly establishes three BP networks respectively for three categories of characters which are classified according to their Euler numbers, with the...

10. CRACK LOCALIZATION IN HYDRAULIC TURBINE BLADES BASED ON KERNEL INDEPENDENT COMPONENT ANALYSIS AND WAVELET NEURAL NETWORK

Xianghong Wang, Hanling Mao, Hongwei Hu, Zhiyong Zhang
Pages: 1116 - 1124
Hydraulic turbine runner has a complex structure, and traditional location methods can't meet its requirement. This paper describes a source location of cracks in turbine blades by combining kernel independent component analysis (KICA) with wavelet neural network (WNN). The research shows that the location...

11. Clustering bipartite graphs in terms of approximate formal concepts and sub-contexts

Bruno Gaume, Emmanuel Navarro, Henri Prade
Pages: 1125 - 1142
The paper first offers a parallel between two approaches to conceptual clustering, namely formal concept analysis (augmented with the introduction of new operators) and bipartite graph analysis. It is shown that a formal concept (as defined in formal concept analysis) corresponds to the idea of a maximal...

12. Synthesis Algorithm of Homology Detection Based on AHP

Baojiang Cui, Wenhao Fan, Ce Bian, Tao Guo, Yongle Hao, Jianxin Wang
Pages: 1143 - 1150
Traditional software homology detection techniques based on text, token, abstract syntax tree in many cases get the real similarity inaccurately when they work alone. In this paper, a synthesis algorithm based on Analytic Hierarchy Process (AHP) is proposed, which combines text, token, syntax tree comparison...

13. Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention

Xiaohua Wang, Haibin Duan
Pages: 1151 - 1162
Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through...

14. Network measures for information extraction in evolutionary algorithms

Roberto Santana, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
Pages: 1163 - 1188
Problem domain information extraction is a critical issue in many real-world optimization problems. Increasing the repertoire of techniques available in evolutionary algorithms with this purpose is fundamental for extending the applicability of these algorithms. In this paper we introduce a unifying...

15. Correlated Networks for Content Based Image Retrieval

Aun Irtaza, M. Arfan Jaffar, Eisa Aleisa
Pages: 1189 - 1205
Efficient CBIR systems are based on three things, (1) how they represent the repository images in the form of signature; (2) how they measure the similarity of the database images with query image, (3) how they retrieve the semantically similar images in response of a query image. The paper is focusing...