International Journal of Computational Intelligence Systems

Volume 1, Issue 3, August 2008

Special Issue: Computational Intelligence in Knowledge Engineering

Dedicated to the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2007), October 15-16, 2007, Chengdu, China

Foreword

1. An Extended KTH-Best Apprach for Referential-Uncooperative Bilevel Multi-Follower Decision Making

Guangquan Zhang, Chenggen Shi, Jie Lu
Pages: 205 - 214
Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader’s decision...

2. Attack Pattern Analysis Framework for a Multiagent Intrusion Detection System

Grzegorz Kolaczek, Krzysztof Juszczyszyn
Pages: 215 - 224
The paper proposes the use of attack pattern ontology and formal framework for network traffic anomalies detection within a distributed multi-agent Intrusion Detection System architecture. Our framework assumes ontology-based attack definition and distributed processing scheme with exchange of communicates...

3. A Knowledge Based Recommender System with Multigranular Linguistic Information

Luis Martinez, Manuel J. Barranco, Luis G. Perez, Macarena Espinilla
Pages: 225 - 236
Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could...

4. Situation Assessment in Disaster Management

Juan Carlos Augusto, Hui Wang, Jun Liu
Pages: 237 - 247
We present a framework for decision-making in relation to disaster management with a focus on situation assessment during disaster management monitoring. The use of causality reasoning based on the temporal evolution of a scenario provides a natural way to chain meaningful events and possible states...

5. Using Parametric Functions to Solve Systems of Linear Fuzzy Equations with a Symmetric Matrix

Annelies Vroman, Glad Deschrijver, Etienne E. Kerre
Pages: 248 - 261
A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into account and is based on parametric functions. It...

6. Building an Associative Classifier Based on Fuzzy Association Rules

Zuoliang Chen, Guoqing Chen
Pages: 262 - 272
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification...

7. A Linguistic-Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information

Xiaobing Li, Da Ruan, Jun Liu, Yang Xu
Pages: 274 - 284
In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative information. Consequently, decision making problems may include preference information in different formats....