Intelligent Techniques and Tools for Novel System Architectures

1. Front Matter

   Pages I-X

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2. Intelligent-Enterprises and Service Orchestration

   1. Applying Data Mining Algorithms to Calculate the Quality of Service of Workflow Processes

      • Jorge Cardoso

      Pages 3-18

   2. Utilisation Organisational Concepts and Temporal Constraints for Workflow Optimisation

      • D. N. Wang, I. Petrounias

      Pages 19-42

   3. Extending the Resource-Constrained Project Scheduling Problem for Disruption Management

      • Jürgen Kuster, Dietmar Jannach

      Pages 43-61

3. Intelligent Search and Querying

   1. On the Evaluation of Cardinality-Based Generalized Yes/No Queries

      • Patrick Bosc, Nadia Ibenhssaien, Olivier Pivert

      Pages 65-79

   2. Finding Preferred Query Relaxations in Content-Based Recommenders

      • Dietmar Jannach

      Pages 81-97

   3. Imprecise Analogical and Similarity Reasoning about Contextual Information

      • Christos Anagnostopoulos, Stathes Hadjiefthymiades

      Pages 99-119

4. Fuzzy Sets and Systems

   1. A Method for Constructing V. Young’s Fuzzy Subsethood Measures and Fuzzy Entropies

      • H. Bustince, E. Barrenechea, M. Pagola

      Pages 123-138

   2. An Incremental Learning Structure Using Granular Computing and Model Fusion with Application to Materials Processing

      • George Panoutsos, Mahdi Mahfouf

      Pages 139-153

   3. Switched Fuzzy Systems: Representation Modelling, Stability Analysis, and Control Design

      • Hong Yang, Georgi M. Dimirovski, Jun Zhao

      Pages 155-168

   4. On Linguistic Summarization of Numerical Time Series Using Fuzzy Logic with Linguistic Quantifiers

      • Janusz Kacprzyk, Anna Wilbik, Sławomir Zadrożny

      Pages 169-184

5. Biomedical and Health Care Systems

   1. Using Markov Models for Decision Support in Management of High Occupancy Hospital Care

      • Sally McClean, Peter Millard, Lalit Garg

      Pages 187-199

   2. A Decision Support System for Measuring and Modelling the Multi-Phase Nature of Patient Flow in Hospitals

      • Christos Vasilakis, Elia El-Darzi, Panagiotis Chountas

      Pages 201-217

   3. Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation

      • Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli

      Pages 219-236

   4. Support Vector Machines and Neural Networks as Marker Selectors in Cancer Gene Analysis

      • Michalis E. Blazadonakis, Michalis Zervakis

      Pages 237-258

   5. An Intelligent Decision Support System in Wireless-Capsule Endoscopy

      • V. S. Kodogiannis, J. N. Lygouras, Th. Pachidis

      Pages 259-275

6. Knowledge Discovery and Management

   1. Formal Method for Aligning Goal Ontologies

      • Nacima Mellal, Richard Dapoigny, Laurent Foulloy

      Pages 279-289

   2. Smart Data Analysis Services

      • Martin Spott, Henry Abraham, Detlef Nauck

      Pages 291-304

   3. Indexing Evolving Databases for Itemset Mining

      • Elena Baralis, Tania Cerquitelli, Silvia Chiusano

      Pages 305-323

   4. Likelihoods and Explanations in Bayesian Networks

      • David H. Glass

      Pages 325-341

The purpose of this volume is to foster and present new directions and so- tionsinbroadlyperceivedintelligentsystems.Theemphasisisonconstructive approaches that can be of utmost important for a further progress and imp- mentability. The volume is focused around a crucial prerequisite for developing and implementing intelligent systems, namely to computationally represent and manipulate knowledge (both theory and information), augmented by an ab- ity to operationally deal with large-scale knowledge bases, complex forms of situation assessment, sophisticated value-based modes of reasoning, and - tonomic and autonomous system behaviours. These challenges exceed the capabilities and performance capacity of c- rent open standards, approaches to knowledge representation, management and system architectures. The intention of the editors and contributors of this volume is to present tools and techniques that can help in ?lling this gap. New system architectures must be devised in response to the needs of exhibiting intelligent behaviour, cooperate with users and other systems in problemsolving,discovery,access,retrievalandmanipulationofawidevariety of “data” and knowledge, and reason under uncertainty in the context of a knowledge-based economy and society.

• architecture
• computational intelligence
• data mining
• formal method
• fuzzy
• fuzzy logic
• fuzzy set
• fuzzy sets
• intelligence
• intelligent systems
• knowledge discovery
• modeling
• ontology
• optimization
• robot

• Harrow School of Computer Science, The University of Westminster, London, UK

  Panagiotis Chountas

• School of Informatics, The University of Manchester, Manchester, UK

  Ilias Petrounias

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk

Policies and ethics