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Title of Journal: Soft Comput

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Abbravation: Soft Computing

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Springer-Verlag

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DOI

10.1007/s10853-008-2500-x

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1433-7479

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A special issue on decision intelligence with soft

Authors: Jie Lu Guangquan Zhang
Publish Date: 2009/09/03
Volume: 14, Issue: 12, Pages: 1253-1254
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Abstract

Decision intelligence brings together traditional business intelligence and decision support systems DSS to improve complex dynamic uncertain and unstructured decision problems Intelligent DSS along with knowledgebased decision analysis methods incorporating databases/data warehouses model bases and intellectual resources have been well developed Decision intelligence systems can remove the need to always store data first in a database/data warehouse before it can be used for decisionmaking It therefore enables organizations to better understand their dynamic business processes and the factors that affect business performance which leads to better decisionsThere are a growing number of requirements to deal with the complexity dynamicity uncertainty and unstructure of decision problems Soft computing including the techniques of fuzzy logic rough sets neural networks evolutionary computing swarm intelligence and other similar approaches have been recently applied in related areas to meet the requirements Research results show that applying soft computing into decision intelligence effectively improves the intelligent features of the decision process and the quality of decisionmaking Some successful applications of these techniques have appeared in various decision problems Therefore an updated overview for theoretical research results and practical developments of soft computing in decision intelligence will benefit researchers businesses governments and other organizationsThis special issue provides a high quality forum of the stateoftheart research and development in line with decision intelligence and soft computing It was generated from the 2008 International Conference on Intelligent Systems and Knowledge Engineering ISKE2008 17–18 November 2008 Xiamen China by selecting 9 high quality relevant papers in the scope of the special issue from more than 200 papers in the conference proceedings The special issue covers both benefits and challenges in this area and draws on the authors’ wideranging practical experience of strategy development in the field It provides both a theoretical grounding and practical approaches in the use of soft computing techniques to realworld decision problems from road safety breast cancer morbidity and fashion design to telecommunication customer services Contributed authors from Australia Belgium China France Japan and Spain demonstrate their new research results on how soft computing technologies benefit the development of decision intelligenceFive papers in this category present decision intelligence with soft computing in road safety in EU life situations of senior citizens in Japan fashion product evaluation in France human brain Tumor classification in Spain and breast cancer in ChinaThe first paper by Shen et al supported by the European Transport Safety Council presents a hybrid system for road safety performance evaluation In this hybrid system a single neuron and a twolayer feedforward network are introduced with the integration of rough sets techniques to assign weights to seven road safety performance indicators The 7 indicators are used to monitor and evaluate the effect of policy interventions and rank 21 European countries in terms of their road safety Testing results imply the feasibility of this system and valuable predictive power for the road safety indicators contextThe second paper by Guo reports a novel approach for simplifying the obtained if–then rules from a decision table by the rough sets methods This approach extracts main features of objects in different decision classes by remarkable degrees Using the proposed approach the main features of Japanese industries and the life situations of senior citizens in Japan are analyzed The analysis results show that the proposed approach have provided deep insight into the situations of objectsIn the third paper Zeng et al present a fuzzy multicriteria decisionmaking method for evaluating fashion products in France Human perceptions are integrated into the evaluation procedure Fuzzy set techniques are used to handle linguistic terms in criteria and their weights as well as the perceptions’ explanations for the relationship between sales volumes of products and their components such as fashion style By using the proposed method a set of new fashion products has been well evaluated and ranked

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Other Papers In This Journal:
  1. Structure optimization of neural networks for evolutionary design optimization
  2. Sheaf representations of BL-algebras
  3. Flexible neural trees based early stage identification for IP traffic
  4. Rule acquisition and attribute reduction in real decision formal contexts
  5. An evaluation of non-redundant objective sets based on the spatial similarity ratio
  6. An approach to efficient business intelligent system for financial prediction
  7. Multi-Objective Optimization using Grid Computing
  8. Group decision-making procedure based on incomplete reciprocal relations
  9. An evolutionary algorithm to discover quantitative association rules in multidimensional time series
  10. Neighborhood field for cooperative optimization
  11. The equivalence between fuzzy Mealy and fuzzy Moore machines
  12. Computational evaluation of a MIP model for multi-port stowage planning problems
  13. A multiobjective discrete cuckoo search algorithm for community detection in dynamic networks
  14. Metric learning with geometric mean for similarities measurement
  15. Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions
  16. Generalized fuzzy filters of R 0 -algebras
  17. Robust intelligent backstepping tracking control for wheeled inverted pendulum
  18. Minimax mean-variance models for fuzzy portfolio selection
  19. Selection of laser bending process parameters for maximal deformation angle through neural network and teaching–learning-based optimization algorithm
  20. A hill-jump algorithm of Hopfield neural network for shortest path problem in communication network
  21. Self-configuration single particle optimizer for DNA sequence compression
  22. Rough set feature extraction by remarkable degrees with real world decision-making problems
  23. Characterizations of two kinds of hemirings based on probability spaces
  24. An analytical solution to the TOPSIS model with interval type-2 fuzzy sets
  25. On investigation of interdependence between sub-problems of the Travelling Thief Problem
  26. Uncertain regression analysis: an approach for imprecise observations
  27. Particle swarm optimization-based feature selection in sentiment classification
  28. An approach to fuzzy default reasoning for function approximation
  29. A fuzzy interval analysis approach to kriging with ill-known variogram and data
  30. Topology optimization of compliant structures and mechanisms using constructive solid geometry for 2-d and 3-d applications
  31. Comparison of methods for developing dynamic reduced models for design optimization
  32. General form of α -resolution principle for linguistic truth-valued lattice-valued logic
  33. Similarity recognition using context-based pattern for cyber-society
  34. An extension of a fuzzy reputation agent trust model (AFRAS) in the ART testbed
  35. A robust algorithm of support vector regression with a trimmed Huber loss function in the primal
  36. On soft weak structures
  37. A memetic algorithm for the cyclic antibandwidth maximization problem
  38. Integration of classifier diversity measures for feature selection-based classifier ensemble reduction
  39. An evolutionary algorithm using spherical inversions
  40. Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications
  41. ATAC4Cloud: a framework for modeling and simulating autonomic cloud
  42. Related Fritz Carlson type inequalities for Sugeno integrals
  43. Cultural algorithms: a Tabu search approach for the optimization of engineering design problems
  44. Fuzzy characterization of spike synchrony in parallel spike trains
  45. Minimal attribute reduction with rough set based on compactness discernibility information tree
  46. A hybrid approach of dimension partition and velocity control to enhance performance of particle swarm optimization
  47. Scenario Violation in Nursing Activities: Nursing Risk Management from the Viewpoint of Chance Discovery
  48. Nearest neighbor search with locally weighted linear regression for heartbeat classification
  49. Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes
  50. An improved back propagation algorithm topredict episodes of poor air quality
  51. An algorithmic analysis of DNA structure
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