International Journal of Computational Intelligence Systems

Volume 4, Issue 1, February 2011

Special Issue on Computational Intelligence in Decision Making

1. Risk Decision Making Based on Decision-theoretic Rough Set: A Three-way View Decision Model

Huaxiong Li, Xianzhong Zhou
Pages: 1 - 11
Rough set theory has witnessed great success in data mining and knowledge discovery, which provides a good support for decision making on a certain data. However, a practical decision problem always shows diversity under the same circumstance according to different personality of the decision makers....

2. Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering

Pawan Lingras, Manish Joshi
Pages: 12 - 28
Researchers have proposed several Genetic Algorithm (GA) based crisp clustering algorithms. Rough clustering based on Genetic Algorithms, Kohonen Self-Organizing Maps, K-means algorithm are also reported in literature. Recently, researchers have combined GAs with iterative rough clustering algorithms...

3. Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities

Tung-kuang Wu, Yu-chi Lin, Shian-chang Huang, Ying-ru Meng, Wen-yau Liang
Pages: 29 - 43
Due to the implicit characteristics of learning disabilities (LDs), the diagnosis of students with learning disabilities has long been a difficult issue. Artificial intelligence techniques like artificial neural network (ANN) and support vector machine (SVM) have been applied to the LD diagnosis problem...

4. Expression Detection Based on a Novel Emotion Recognition Method

Xun Gong, Yong Yang, Jianhui Lin, Tianrui Li
Pages: 44 - 53
As facial expression is an essential way to convey human's feelings, in this paper, a dynamic selection ensemble learning method is proposed to analyze their emotion automatically. A feature selection algorithm is proposed at first based on rough set and the domain oriented data driven data mining theory,...

5. Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making

Raymond Y.k. Lau, Chapmann C.l. Lai, Yuefeng Li
Pages: 54 - 65
The notion of semantic information granulation is explored to estimate the information specificity or generality of documents. Basically, a document is considered more specific than another document if it contains more cohesive domain-specific terminologies than that of the other one. We believe that...

6. Three-way Investment Decisions with Decision-theoretic Rough Sets

D. Liu, Y.y. Yao, T.r. Li
Pages: 66 - 74
The decision-theoretic rough set model is adopted to derive a profit-based three-way approach to investment decision-making. A three-way decision is made based on a pair of thresholds on conditional probabilities. A positive rule makes a decision of investment, a negative rule makes a decision of noninvestment,...

7. An Improved Method for Protein Similarity Searching by Alignment of Fuzzy Energy Signatures

Dariusz Mrozek, Bozena Malysiak-mrozek
Pages: 75 - 88
*Scientific research supported by the Ministry of Science and Higher Education, Poland in years 2008-2010. Grant No. N N516 265835: Protein Structure Similarity Searching in Distributed Multi Agent System †To whom the entire correspondence should be directed: Institute of Informatics, Silesian...

8. Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer's Disease Study Case

Ana Karoline Araujo De Castro, Placido Rogério Pinheiro, Mirian Caliope Dantas Pinheiro, Isabelle Tamanini
Pages: 89 - 99
A hybrid model, combining influence diagrams and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Alzheimer's disease, considering the stages of Clinical Dementia Rating. The modeling...

9. Particle Swarm Optimization with Novel Processing Strategy and its Application

Yuanxia Shen, Wang, Chunmei Tap
Pages: 100 - 111
The loss of population diversity is one of main reasons which lead standard particle swarm optimization (SPSO) to suffer from the premature convergence when solving complex multimodal problems. In SPSO, the personal experience and sharing experience are processed with a completely random strategy. It...

10. Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations

Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai
Pages: 112 - 122
Based on multi-dominance discernibility matrices, a non-incremental algorithm RIDDM and an incremental algorithm INRIDDM are proposed by means of Dominance-based Rough Set Approach. For the incremental algorithm, when a new object arrives, after updating one row or one column in the matrix, we could...