International Journal of Computational Intelligence Systems

Volume 5, Issue 4, August 2012

1. A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process

Mehmet Ekmekçioğlu, Ahmet Can Kutlu
Pages: 611 - 626
Process Failure Modes and Effects Analysis (PFMEA) concept, has been developed based on the success of Failure Modes and Effects Analysis (FMEA) to include a broader analysis team for the realization of a comprehensive analysis in a short time. The most common use of the PFMEA involves manufacturing...

2. A fuzzy logic-based damage identification method for simply-supported bridge using modal shape ratios

Hanbing Liu, Yubo Jiao, Yafeng Gong
Pages: 627 - 638
A fuzzy logic system (FLS) is established for damage identification of simply supported bridge. A novel damage indicator is developed based on ratios of mode shape components between before and after damage. Numerical simulation of a simply-supported bridge is presented to demonstrate the memory, inference...

3. An Intelligent Model for Stock Market Prediction

Ibrahimm. Hamed, Ashrafs. Hussein, Mohamedf. Tolba
Pages: 639 - 652
This paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP) Artificial Neural Networks (ANN). Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the problems...

4. Exploiting the Semantic Web to Represent Information from On-line Collaborative Learning

Jordi Conesa, Santi Caballé, David Gañán, Josep Prieto
Pages: 653 - 667
In this paper we propose a framework for modeling, representing populating and enriching information from online collaborative sessions within Web forums. The main piece of the framework is an ontology called Collaborative Session Conceptual Schema (CS) that allows for specifying collaborative sessions....

5. Embedded Feature Selection for Multi-label Classification of Music Emotions

Mingyu You, Jiaming Liu, Guo-zheng Li, Yan Chen
Pages: 668 - 678
When detecting of emotions from music, many features are extracted from the original music data. However, there are redundant or irrelevant features, which will reduce the performance of classification models. Considering the feature problems, we propose an embedded feature selection method, called Multi-label...

6. SEffEst: Effort estimation in software projects using fuzzy logic and neural networks

Israel González-carrasco, Ricardo Colomo-palacios, José Luis López-cuadrado, Francisco José García Peñalvo
Pages: 679 - 699
Academia and practitioners confirm that software project effort prediction is crucial for an accurate software project management. However, software development effort estimation is uncertain by nature. Literature has developed methods to improve estimation correctness, using artificial intelligence...

7. Overcoming Motor-Rate Limitations in Online Synchronized Robot Dancing

Catarinab. Santiago, Joaol. Oliveira, Luisp. Reis, Armando Sousa, Fabien Gouyon
Pages: 700 - 713
We propose an online sensorimotor architecture for controlling a low-cost humanoid robot to perform dance movements synchronized with musical stimuli. The proposed architecture attempts to overcome the robot's motor constraints by adjusting the velocity of its actuators and inter-changing the attended...

8. Stability Analysis of a Type of T-S Fuzzy Control Systems Using Off-Axis Circle Criterion

Kairui Cao, X. Z. Gao, Xianlin Huang, Xiaojun Ban
Pages: 714 - 722
In this paper, based on the off-axis circle criterion, a sufficient condition with a simple graphical explanation is derived to analyze the global asymptotic stability of a type of Takagi-Sugeno (T-S) fuzzy control systems in case of different constant reference inputs. Three numerical examples are given...

9. Qualitative Description and Quantitative Optimization of Tactical Reconnaissance Agents System Organization

Xiong Li, Yonglong Chen, Zhiming Dong
Pages: 723 - 734
In this paper, the problem of qualitative description and quantitative optimization for tactical reconnaissance agents system organization is considered with objective of higher teamwork efficiency and more reasonable task balancing strategies. By analyzing tactical reconnaissance system and its environment,...

10. A Close-to-linear Topic Detection Algorithm using Relative Entropy based Relevance Model and Inverted Indices Retrieval

Steve Kansheng Shi, Lemin Li
Pages: 735 - 744
Although timely access to information is becoming increasingly important and gaining such access is no longer a problem, the capacity for humans to assimilate such huge amounts of information is limited. Topic Detection(TD) is then a promising research area that addresses speedy access of desired information....

11. Evolutionary Swarm based algorithms to minimise the link cost in Communication Networks

Eugénia Moreira Bernardino, Anabela Moreira Bernardino, Juan Manuel Sánchez-pérez, Juan Antonio Gómez-pulido, Miguel ÁNgel Vega-rodríguez
Pages: 745 - 761
In the last decades, nature-inspired algorithms have been widely used to solve complex combinatorial optimisation problems. Among them, Evolutionary Algorithms (EAs) and Swarm Intelligence (SI) algorithms have been extensively employed as search and optimisation tools in various problem domains. Evolutionary...

12. On Modeling the Behavior of Comparators for Complex Fuzzy Objects in a Fuzzy Object-Relational Database Management System

Juanm. Medina, Carlosd. Barranco, Jesúsr. Campaña, Sergio Jaime-castillo
Pages: 762 - 774
This paper proposes a parameterized definition for fuzzy comparators on complex fuzzy datatypes like fuzzy collections with conjunctive semantics and fuzzy objects. This definition and its implementation on a Fuzzy Object-Relational Database Management System (FORDBMS) provides the designer with a powerful...

13. A Fuzzy-Rule-Based Model for Handling Contextual Preference Queries

Allel Hadjali, Amine Mokhtari, Olivier Pivert
Pages: 775 - 788
Users’ preferences have traditionally been exploited in query personalization to better serve their information needs. Most of the time, user preferences depend on context, that is, they may have different values depending on the situation of the user. In this paper, we propose a fuzzy-rule-based...

14. An Approach to Database Preference Queries Based on an Outranking Relation

Patrick Bosc, Olivier Pivert, Grégory Smits
Pages: 789 - 804
In this paper, we describe an approach to database preference queries based on the notion of outranking, suited to the situation where preferences on different attributes are not commensurable. This model constitutes an alternative to the use of Pareto order whose main drawback is to leave many tuples...