| Modeling decisions for artificial intelligence : theory, tools and applications | p. 1 |
| Capacities and games on lattices : a survey of results | p. 9 |
| Cryptosystems based on elliptic curve pairing | p. 13 |
| Building a brain-informatics portal on the wisdom Web with a multi-layer grid : a new challenge for Web intelligence research | p. 24 |
| Soft computing in human centered systems thinking | p. 36 |
| Qualitative model of game theory | p. 47 |
| Regularity properties of null-additive fuzzy measure on metric spaces | p. 59 |
| A statistical criterion of consistency in the analytic hierarchy process | p. 67 |
| Evaluating the airline service quality by fuzzy OWA operators | p. 77 |
| An adaptive module for the consensus reaching process in group decision making problems | p. 89 |
| Qualitative reasoning model for tradeoff analysis | p. 99 |
| Evaluation of control performance of multi-stage fuzzy reasoning in anti-lock braking system for railways using fuzzy reasoning | p. 110 |
| One-way and two-party authenticated ID-based key agreement protocols using pairing | p. 122 |
| Noise-robust watermarking for numerical datasets | p. 134 |
| Possibilistic approach to kernel-based fuzzy c-means clustering with entropy regularization | p. 144 |
| Fuzzy c-means clustering in the presence of noise cluster for time series analysis | p. 156 |
| Quantification of multivariate categorical data considering clusters of items and individuals | p. 164 |
| A new approach to fuzzification of memberships in cluster analysis | p. 172 |
| Dynamic clustering based on universal gravitation model | p. 183 |
| Extracting classification rules with support rough neural networks | p. 194 |
| On a tool for rough non-deterministic information analysis and its perspective for handling numerical data | p. 203 |
| Several approaches to attribute reduction in variable precision rough set model | p. 215 |
| Checking whether or not rough-set-based methods to incomplete data satisfy a correctness criterion | p. 227 |
| Fuzzy model based environmental stiffness identification in stable force control of a robot manipulator | p. 240 |
| Omnidirectional adaptive behavior control for autonomous mobile robot | p. 252 |
| Pairwise matching of spots in 2-DE images using Hopfield network | p. 264 |
| A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making | p. 272 |
| Perceptive evaluation for the optimal discounted reward in Markov decision processes | p. 283 |
| Cancer prediction using diversity-based ensemble genetic programming | p. 294 |
| Language generation for conversational agent by evolution of plan trees with genetic programming | p. 305 |
| Optimization of fuzzy systems based on fuzzy set using genetic optimization and information granulation | p. 316 |
| A new approach to genetically optimized hybrid fuzzy set-based polynomial neural networks with FSPNs and PNs | p. 328 |
| Genetically optimized hybrid fuzzy neural networks in modeling software data | p. 338 |
| Genetically dynamic optimized self-organizing fuzzy polynomial neural networks with information granulation based FPNs | p. 346 |
| NMF-based approach to font classification of printed English alphabets for document image understanding | p. 354 |
| Edge-based spatial descriptor using color vector angle for effective image retrieval | p. 365 |
| Efficient 3D model retrieval method using geometric characteristics in intersected meshes | p. 376 |
| Bipolar queries revisited | p. 387 |
| A decision support system for rheumatic evaluation and treatment in oriental medicine using fuzzy logic and neural network | p. 399 |
| Modeling designers' color decision processes through emotive choice mapping | p. 410 |
| An automatic rule creating method for Kansei data and its application to a font creating system | p. 421 |
| Video motion capture for virtual characters | p. 431 |
| Picture languages in medical pattern knowledge representation and understanding | p. 442 |
| Loading problem in multiple containers and pallets using strategic search method | p. 448 |
| Meta-data : characterization of input features for meta-learning | p. 457 |
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