International Journal of Computational Intelligence Systems

Volume 6, Issue 1, February 2013

1. Near-Duplicate Web Page Detection: An Efficient Approach Using Clustering, Sentence Feature and Fingerprinting

J. Prasanna Kumar, P. Govindarajulu
Pages: 1 - 13
Duplicate and near-duplicate web pages are the chief concerns for web search engines. In reality, they incur enormous space to store the indexes, ultimately slowing down and increasing the cost of serving results. A variety of techniques have been developed to identify pairs of web pages that are “similar”...

2. A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions

C. Lopez-molina, B. De Baets, J. Cerron, M. Galar, H. Bustince
Pages: 14 - 28
There exists a large number of techniques for content-aware smoothing. Despite its simplicity, the Perona-Malik Anisotropic Diffusion method is among the most employed ones. In this work we study this method in detail and propose a generalization of its diffusion scheme using restricted dissimilarity...

3. A System of Insolvency Prediction for industrial companies using a financial alternative model with neural networks

A. M. Callejón, A. M. Casado, M. A. Fernández, J.i. Peláez
Pages: 29 - 37
We find in the accounting literature the use of neural networks (NN) for the prediction of insolvency data from the last financial year before the bankruptcy, with a success rate below 85%. The objective of this work is to increase the predictive power of the NN models to discriminate between solvent...

4. An Improved Ranking Strategy for Fuzzy Multiple Attribute Group Decision Making

Zhanhong Hu, Zichun Chen, Zheng Pei, Xinzi Ma, Wei Liu
Pages: 38 - 46
In this paper, we develop an improved ranking strategy for fuzzy multiple attribute group decision making. First, we introduce a method for multiple attribute group decision making and show that method can not choose the best alternative, when S() = 0 and . We define then a k-order deviation of the fuzzy...

5. Parameters control in GAs for dynamic optimization

Khalid Jebari, Abdelaziz Bouroumi, Aziz Ettouhami
Pages: 47 - 63
The Control of Genetic Algorithms parameters allows to optimize the search process and improves the performance of the algorithm. Moreover it releases the user to dive into a game process of trial and failure to find the optimal parameters.

6. Markdown Optimization via Approximate Dynamic Programming

ÖZlem Coşgun, Ufuk Kula, Cengiz Kahraman
Pages: 64 - 78
We consider the markdown optimization problem faced by the leading apparel retail chain. Because of substitution among products the markdown policy of one product affects the sales of other products. Therefore, markdown policies for product groups having a significant crossprice elasticity among each...

7. A Novel Evolutionary Algorithm Inspired by Beans Dispersal

Xiaoming Zhang, Bingyu Sun, Tao Mei, Rujing Wang
Pages: 79 - 86
Inspired by the transmission of beans in nature, a novel evolutionary algorithm-Bean Optimization Algorithm (BOA) is proposed in this paper. BOA is mainly based on the normal distribution which is an important continuous probability distribution of quantitative phenomena. Through simulating the self-adaptive...

8. An Interactive Approach Based on Alternative Achievement Scale and Alternative Comprehensive Scale for Multiple Attribute Decision Making under Linguistic Environment

Yejun Xu, Huimin Wang, Daniel Palacios-marqués
Pages: 87 - 95
The aim of this paper is to develop an interactive approach for multiple attribute decision making with incomplete weight information under linguistic environment. Some of the concepts are defined, such as the distance between two 2-tuple linguistic variables, the expectation level of alternative, the...

9. Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting

Yi Xiao, Jin Xiao, Fengbin Lu, Shouyang Wang
Pages: 96 - 114
Stock e-exchange prices forecasting is an important financial problem that is receiving increasing attention. This study proposes a novel three-stage nonlinear ensemble model. In the proposed model, three different types of neural-network based models, i.e. Elman network, generalized regression neural...

10. On aggregation of metric structures: the extended quasi-metric case

Sebastià Massanet, Oscar Valero
Pages: 115 - 126
In 1981, J. Borsík and J. Doboš studied and solved the problem of how to merge, by means of a function, a (not necessarily finite) collection of metrics in order to obtain a single one as output. Later on, in 2010, G. Mayor and O. Valero proposed and solved the Borsík and Doboš...

11. DEVELOPMENT OF WEARABLE HUMAN FALL DETECTION SYSTEM USING MULTILAYER PERCEPTRON NEURAL NETWORK

Hamideh Kerdegari, Khairulmizam Samsudin, Abdul Rahman Ramli, Saeid Mokaram
Pages: 127 - 136
This paper presents an accurate wearable fall detection system which can identify the occurrence of falls among elderly population. A waist worn tri-axial accelerometer was used to capture the movement signals of human body. A set of laboratory-based falls and activities of daily living (ADL) were performed...

12. A new multidimensional model with text dimensions: definition and implementation

Mariaj. Martin-bautista, Carlos Molina, Elizabet Tejeda, Maria-amparo Vila
Pages: 137 - 155
We present a new multidimensional model with textual dimensions based on a knowledge structure extracted from the texts, where any textual attribute in a database can be processed, and not only XML texts. This dimension allows to treat the textual data in the same way as the non-textual one in an automatic...

13. An Agent-Based Distributed Scheduling For Crisis Management Supply Chain

Ayda Kaddoussi, Nesrine Zoghlami, Slim Hammadi, Hayfa Zgaya
Pages: 156 - 173
There has been a significant increase in the improvement of response to disasters in crisis management supply chain. Due to their sudden occurrence, these disasters require a consequent quick and efficient response that depends on the ability of logistics systems to generate plans under a variety of...

14. The impact of cooperation and competition on the performance of flexible decentralized manufacturing networks

Hu-song Ding, Ping He, Fu-xiang Wu, Yan-hong Sun
Pages: 174 - 185
Due to the mismatch between the order of costumers and the production capacity resulting from demand uncertainty, product shortages or wastes of production capacity occur. In response, the subcontracting of production among the plants occurs to diminish the influence of this mismatch on expected profits....

15. Linear programming approach to matrix games with intuitionistic fuzzy goals

Jiang-xia Nan, Deng-feng Li
Pages: 186 - 197
Adding an additional degree of non-membership, K. T. Atanassov introduced the concept of the intuitionistic fuzzy (IF) set (IF-set), which has rarely been applied to the game theory yet. The aim of this paper is to develop the concept and methodology of matrix games with IF-set goals in which goals of...