Next-Generation Applied Intelligence: 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 2009, Proceedings

Next-Generation Applied Intelligence: 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 2009, Proceedings

Been-Chian Chien, Tzung-Pei Hong, Moonis Ali, Shyi-Ming Chen

Language: English

Pages: 856

ISBN: 2:00069535

Format: PDF / Kindle (mobi) / ePub


This book constitutes the refereed proceedings of the 22nd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2009, held in Tainan, Taiwan in June 2009. The 84 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 286 submissions. The papers are cover a wide range of topics like autonomous agents, computer vision, data mining and knowledge discovery, decision support systems, evolutionary computation, fuzzy logic and uncertainty, intelligent system applications, intelligent wireless computing, knowledge management and natural language processing, machine learning, multi-agent systems, neural networks, and three special invited topics including engineering knowledge and semantic systems, mass customization of manufacturing products using applied intelligent systems, and mining interesting knowledge.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

boy. To be accepted a bit more by his friends he wants to impress them. An opportunity occurs; one of their fellow students arrives on his bike. Boy A thinks that attacking the student and taking his bike might have a good impact on the appreciation by his friends. Therefore he starts weighing the pros and cons. Boy A’s individual weight factors for the different aspects involved are as follows: {high_gain = 0.14, low_loss = 0.17, negative_feelings = 0.08, actions_with_strong_stimuli = 0.19,

addition, this survey paper discusses about current trends and anticipated research in VLPR system. A region-based license plate detection method was presented in [2], which firstly applies a mean shift procedure in spatial-range domain to segment a color vehicle image in order to get candidate regions. In [3], a cascade framework, utilizing plate characteristics and developing fast one pass algorithms are used for a real time plate recognition system. A method based on image segmentation

overall preference value of each project alternative across all the criteria can be obtained by applying the algorithm given in (3)-(15) to the decision matrices and weight vectors given in Table 2. Table 3 shows the result, which suggest that A1 is the most suitable project alternative. 160 C.-H. Yeh et al. Table 2. Performance assessments of alternative IS projects and criteria weights Criteria C11 C12 C13 C14 C21 C22 C23 C31 C32 C33 C41 C42 C43 C44 C51 C52 C53 D1 VG G VG VG VG G G VG G VG

1. Deng, H., Wibowo, S.: A Fuzzy Multicriteria Analysis Approach Using Pairwise Comparison to Selecting Information Systems Projects under Uncertainty. In: 19th International Conference on Multiple Criteria Decision Making, Auckland, N.Z. (2008) 2. Stewart, R.A.: A Framework for the Life Cycle Management of Information Technology Projects: ProjectIT. Int. J. Proj. Manage. 26, 203–212 (2008) Multicriteria Group Decision Support for Information Systems Project Selection 161 3. Shih, H.S.,

presented can be applied to any ecological model. Figure 1 shows a causal diagram for this model. Below, both a qualitative and a quantitative variant of the model are introduced. species s1 water level w moisture m species s2 Fig. 1. Causal diagram of ecological model 3.1 Quantitative Model A differential equation form for this model is as follows: d s1(t) / dt = β *s1(t) * [c(t) - a1*s1(t) - a2*s2(t)] d s2(t) / dt = γ *s2(t) * [c(t) - b1*s1(t) - b2*s2(t)] d c(t)/dt = ω*(η m(t) - c(t)) d m(t)

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