International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 3, Issue 5, November 2010
Wuhong Wang, Fuguo Huo, Huachun Tan, Heiner Bubb
Pages: 531 - 541
This paper presents a conceptual framework for ecological function allocation and optimization matching solution for a human-machine interface with intelligent characteristics by “who does what and when and how” consideration. As a highlighted example in nature-social system, intelligent transportation...
Xianwen Fang, Changjun Jiang, Xiaoqin Fan
Pages: 542 - 552
The essence characteristics of software trustworthiness are software execution effect and behavior can be anticipated, which is an important index of software quality. Under the open and dynamic environments, some uncertainty factors cause the behavior of software to be uncontrolled, uncertainty and...
Xin-Bao Liu, Shan-Lin Yang, Feng Pei, Jiab-Bo Yang
Pages: 575 - 589
In multi-attribute group decision making (MAGDM) problems, decision attributes of alternatives are often considered as with quantitative and qualitative information. Therefore decision making problems may include preference information in different formats. In this paper, a multi-attribute group decision...
Xiangwei Zheng, Hong Liu
Pages: 590 - 600
Multi-Objective Particle Swarm Optimizers (MOPSOs) are easily trapped in local optima, cost more function evaluations and suffer from the curse of dimensionality. A scalable cooperative coevolution and ?-dominance based MOPSO (CEPSO) is proposed to address these issues. In CEPSO, Multi-objective Optimization...
Cabbar Veysel Baysal, Aydan M. Erkmen
Pages: 656 - 673
This paper presents a novel Intelligent Inference System (IIS) for the determination of an optimum preshape for multifingered robot hand grasping, given object under a manipulation task. The IIS is formed as hybrid agent architecture, by the synthesis of object properties, manipulation task characteristics,...
Tolga Kaya, Emel Aktas, Ilker Topçu, Burç Ulengin
Pages: 674 - 687
The purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector. To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models...