Advances in Intelligent Decision Technologies (eBook)

Proceedings of the Second KES International Symposium IDT 2010

Gloria Phillips-Wren (Herausgeber)

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2010 | 2010
XIX, 733 Seiten
Springer Berlin Heidelberg (Verlag)
978-3-642-14616-9 (ISBN)

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Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Second KES International Symposium on Intelligent Decision Technologies (KES IDT'10), hosted and organized by the Sellinger School of Business and Management, Loyola University Maryland, USA, in conjunction with KES International. The symposium was concerned with theory, design development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, Kansei communication, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery.

Foreword 6
Preface 8
Organization 10
Table of Contents 14
I. Keynote Papers 21
Intelligence Analysis as Agent-Assisted Discovery of Evidence, Hypotheses and Arguments 21
Introduction 21
Sample Problem: Analysis of Wide-Area Motion Imagery 22
Discovery of Hypotheses 23
Discovery of Evidence 23
Discovery of Arguments 25
Believability of Evidence 26
Analysis of Competing Hypotheses 27
Cognitive Assistants for Learning, Teaching, and Analysis 28
References 30
Intelligent Software for Ecological Building Design 31
Introduction 31
The Inherent Complexity of Building Design 32
Increased Complexity of Ecological Design 32
Desirable Capabilities of an Intelligent Design Environment 33
The Technical Approach 39
Design Tools as Agents Types 42
Agent Collaboration and Conflict Management 44
System Architecture 46
Conclusions 47
References 47
II. Decision Making Theory 49
Issues in Aggregating AHP/ANP Scales 49
Introduction 49
The Nature of Regular and Relative Ratio Scales 50
Conventional AHP: Distributive and Ideal 51
Techniques That Address Commensurability 52
Referenced AHP 53
Linking Pin AHP 53
Benchmark AHP 54
Dominant AHP 55
Iterative AHP 56
Benefit Cost Analysis 57
Analytic Network Process (ANP) 57
Discussion 58
Conclusion 60
References 61
An Application of Dominant Method: Empirical Approach to Public Sector Reform 63
Introduction 63
Summary of the Joint Research (2003) 64
Outline of the Previous Study (2007) 65
Verification of the Framework of How to Reform Public Sector 67
Results of Principal Component Analysis 67
Scheme of Public Sector Reform 68
Concluding Remarks 70
References 71
General Application of a Decision Support Framework for Software Testing Using Artificial Intelligence Techniques 72
Introduction 72
Software Testing 73
Artificial Intelligence and Software Testing 73
Overview of Research on Artificial Intelligence in SoftwareTesting 73
Limitations of the Use of Artificial Intelligence in SoftwareTesting 73
Framework for the Possible Use of AI Techniques 74
Introduction and Framework Representation 74
Test Management 75
Test Information 75
Test Environment 76
Technical Support 76
Fuzzy Cognitive Maps – Application to the Framework 76
Fuzzy Cognitive Maps 77
FCM Construction 77
Static Analysis 78
What-If Analysis Using the FCM Inference Mechanism 78
Conclusions and Future Work 81
References 81
A Double-Shell Design Approach for Multiobjective Optimal Design of Microgrids 83
Introduction 83
Application 89
Conclusion 91
References 91
A Comparison of Dominant AHP/CCM and AHP/ANP 92
AHP and ANP [1] [2] 92
Dominant AHP 95
Mathematical Description of Dominant AHP [6] 98
Concurrent Convergence Method [5] [6] 102
The Relationships between CCM and ANP [4] [6] 105
Conclusion 105
References 106
The Weighted Least Square Method Applied to the Binary and Ternary AHP 107
Introduction 107
The bt-AHP with the Bradley-Terry Model 108
The Solution Method of the bt-AHP by the WLS 109
The Multi-stage Bradley-Terry Model 112
The Solution Methods by the Geometric Programming 113
Conclusion 115
References 115
Decision-Making by “Minor ANP” and Classification of the Types 117
Introduction 117
Priority Level of Alternatives Matrix with Missing Value 118
Presuming the Missing Values in the Imperfect Alternative Matrix 118
Harker Method on Presumption of Missing Values 119
Nishizawa Method on the Presumption of Missing Values 119
Our Proposed Method for the Missing Values Presumption 120
Feature of the Proposed Method 120
Proposed Method in the Non-square Matrix 122
Kinoshita's Method 122
Nishizawa's Method 122
Our Proposed Method 123
Validity of This Method in the Non-square Matrix 124
Discussions and Implications 124
Missing Values Presumption by ANP in an Imperfect Evaluation Matrix 124
Meaning of Eigenvalue and Validity of Kinoshita's Method 125
Negative Evaluation Values in the Criteria Matrix 125
Classification Type of the Decision-Making 125
Conclusion 126
References 126
Appendices 126
Improving the E-Store Business Model for Satisfying Customers’ Needs Using a Hybrid MCDM Combined DANP with Grey Relational Model 128
Introduction 128
Review on Customers Buying Decision Processes and Evaluation Framework 129
A Hybrid MCDM Model for E-Store Management 129
DANP Technique 129
The Grey Relation Analysis 132
Empirical Study: A Real Case of E-Stores Business Model forYahoo, PChome, Books 132
Conclusions and Remarks 135
References 136
III. Advances in Intelligent Decision Systems 137
Multi-Agent System Protecting from Attacking with Elliptic Curve Cryptography 137
Introduction 137
Traditional ECC Protocol 139
Proposal Protecting from Man-in-the Middle in ECC 141
Multiagent System Implementation of the ECC Public Key 143
Conclusion 144
References 144
An Implementation of a Multi-attribute Negotiation Protocol for E-Commerce 146
Introduction 146
Automated Negotiation in eCommerce 147
Negotiation Using Bargaining 147
Pareto Optimality 148
Utility Functions 148
A Multi-attribute Negotiation Model – A Case Study in E-Commerce 149
One-to-Many Negotiation Mechanism 150
The Negotiation Object 150
The Negotiation Protocol 150
The Negotiation Strategy 152
The Negotiation Process 152
Prototype Implementation 152
The Buyer Agent 153
The Facilitator Agent 153
The Seller Agent 154
The Utility Function 154
Conclusions and Further Research 154
References 154
A Decision Support System for Ore Blending Cost Optimization Problem of Blast Furnaces 156
Introduction 156
Cost Optimization Model of Ore Blending 157
Data Preprocessing 157
Cost optimization Model of Ore Blending 158
Architecture of Ore Blending Cost Optimization DSS 160
Multi-role Based Ore Blending Cost Optimization DSS Architecture 160
Workflow of Ore Blending DSS 160
Database 161
Model Base 162
Knowledge Base 162
Module Design 162
System Running Examples 162
Conclusion 164
References 165
IV. Intelligent Decision Technologies in Accounting and Finance 166
A Study on the Relationship between Corporate Governance and Pricing for Initial Public Offerings:The Application of Artificial Neural Networks 166
Introduction 166
Method 167
Empirical Results 172
Summary and Conclusions 174
References 175
Combining ICA with Kernel Based Regressions forTrading Support Systems on Financial Options 176
Introduction 176
Prior Research 178
Pure SVM Models 178
Independent Component Analysis 178
Kernel Partial Least Square Regressions 179
Empirical Data Analysis 179
Conclusions 181
References 181
Integration of Financial and Non-financial Information for Decision-Making by Using Goal Programming and Fuzzy Analytic Hierarchy Process on a Capital Budgeting Investment Case Study 183
Introduction 183
Identification of the Used Cars Selection Problem 184
GP Procedures and the Synthetic Extent Method of the FAHP 184
First Step: Introduction of the Procedure of GP 184
Second Step: Construction of the FAHP Comparison Matrices 185
Value of Fuzzy Synthetic Extent 185
The Use of Sensitivity Analysis 186
The Results of the Used Cars Selection Problem 187
The Results of First Step Obtained from the GP 187
Second Step: Sensitivity Analysis of Resultant Weight Values 189
Conclusions 189
References 190
Appendix 191
V. Optimization-Based Intelligent Techniques in Image Processing 192
A Statistical Tailored Image Reconstruction from Projections Method 192
Introduction 192
Formulation of Statistical Reconstruction Problem 193
Reconstruction Process Using Recurrent Neural Network 197
Experimental Results 199
Conclusions 200
References 200
Realistic 3D-Modeling of Forest Growth with Natural Effect 202
Related Work 202
Modeling of 3D-Surface Based on Data Laser Location 203
Modeling of Lower Natural Growth on Air Photography Data 204
Texture Modeling Based on Fractal Theory 204
Stochastic Texture Modeling 206
Natural Effects Simulation in 3D-Scene 206
Fog Simulation 206
Rain Imitation 207
Modeling of Snow Blanket 208
Experimental Researches 209
Conclusion 210
References 210
VI. E-commerce and Logistics Management 211
A Parallel Simulated Annealing Solution for VRPTW Based on GPU Acceleration 211
Introduction 211
VRPTW Problem and Mathematics Model 212
Implementation of the SA Solutions for VRPTW Problem Based on GPU Acceleration 213
The Generation of Initial Solution 214
The Generation of the New Solution 214
The Strategy of Accepting New Solutions 214
The Cooling Function 215
Algorithmic Process 215
Experimental Results and Analysis 216
Conclusions 217
References 218
Evidential Reasoning Approach for MADA under Group and Fuzzy Decision Environment 219
Introduction 219
Evidential Reasoning Approach 220
Weighted Arithmetic Mean Method and a-Cut Method 221
Evidential Reasoning Approach under Group and Fuzzy Decision Environment 222
Conclusions 223
References 223
Study on the Inventory Forecasting in Supply Chains Based on Rough Set Theory and Improved BP Neural Network 225
Introduction 225
Analyzing the Influencing Factors of Inventory Forecasting in Supply Chains 226
The Framework of Inventory Forecasting in Supply Chains Based on Rough Set Theory and Improved BP Neural Network 227
The Basic Calculation Processes of Inventory Forecasting in Supply Chains Based on Rough Set Theory and Improved BP Neural Network 228
Acquiring and Preprocessing Indicators Data 228
Data Discretization 228
Establishing the Decision Table of Influencing Factors 229
Reducing the Decision Table 230
Constructing BP Neural Network and Designing BP Algorithms 230
Implementing Inventory Forecasting in Supply Chains 232
Example Analysis 232
Conclusions 234
References 234
A Model of Disruption Management for Solving Delivery Delay 236
Introduction 236
The Identification Method for System Deviation 237
The Analysis of Revising Plan for the Decision-Maker 238
The Model of Disruption Management for the Delivery Delay 238
The Method of Customer Segmentation in Distribution 238
The Model of Disruption Management for Delivery Delay 239
Case Study 244
Conclusions 245
References 246
A Real-Time Scheduling Method for a Variable-Route Bus in a Community 247
Introduction 247
Problem Description and Its Model 249
Problem Description 249
Notations and Definitions 250
Model 250
Solution Approach 251
Numerical Experiment 253
Conclusions 254
References 254
A Fair Transaction Protocol with an Offline Semi-Trusted Third Party 256
Introduction 256
Main Idea and Informal Description of Our Protocol 257
Fair Transaction Protocol with an Offline Semi-Trusted Third Party 259
Registration 259
Payment 259
Disputes 260
Analysis 261
Properties of the Protocol 261
Properties of the Protocol 263
Conclusions 263
References 263
Impacts of Supply Chain Globalization on Quality Management and Firm Performance: Some Evidences in Shanghai, China 265
Introduction 265
Research Background 265
Hypotheses 267
Empirical Study 268
Discussion 270
Conclusions 272
References 273
VII. Intelligent Spatial Decision Analysis 274
Analysis of Fuzzyness in Spatial Variation of Real Estate Market: Some Italian Case Studies 274
Market Segmentation and Location Ranking of Housing Property 274
The Method for a Fuzzy Ranking of Property Referring to a Urban Quarter 275
The Application of Ranking to Urban Quarters of Southern Urban Realities 277
Some Remarks 282
References 282
Assessing Macroseismic Data Reliability through Rough Set Theory: Application on Vulture Area (Basilicata, Southern Italy) 283
Introduction 283
Main Aspects of Adopted Methodology 284
Study Case 286
Database Description 287
The Rough Set Analysis 288
Results Interpretation 289
Discussion 291
References 291
Fire Data Analysis and Feature Reduction Using Computational Intelligence Methods 293
Introduction 293
Wildfire Data Analysis 294
Data Set 294
Feature Extraction Method 295
Results 296
Residential Fire Data Analysis 297
Contribution of Features to the Fire Detection 298
Analysis of Fire Detection Techniques 299
Distributed Wildfire and Residential Fire Detection 300
The Distributed Approach Using Data Fusion 300
Conclusion 301
References 301
The Effect of Standardization in Multicriteria Decision Analysis on Health Policy Outcomes 303
Introduction 303
Methods 304
Case Study 305
Analysis of Benefit and Cost Criterion Scores 306
Comparison of Neighbourhood Rankings 307
Discussion and Conclusion 308
References 310
A Fuzzy Approach to the Small Area Estimation of Poverty in Italy 312
Introduction 312
Small Area Estimation 313
Introduction 313
Synthetic Estimators 314
The Application of the Small Area Estimation and of the Fuzzy Method in the Location of Poverty 315
The Construction of Eu-Silc Poverty Indicators 315
A Multidimensional Approach for the Identification of a Fuzzy Value 317
The Geographical Zoning of Real Estate Value 318
The Application of Scan Statistics 318
The Spatial Individuation of Hot Spots of Poverty 318
Concluding Remarks 320
References 320
Geographical Information Systems and Ontologies: Two Instruments for Building Spatial Analysis Systems 322
Preface 322
Possible Synergies between GIS and Ontologies for the Construction of Spatial Analysis Systems 324
Future Perspective for Research 328
References 329
Real Estate Decision Making Processes and Web-Based Applications: An Integrated Approach 332
Introduction 332
Background on Decision Making in Real Estate Problems 334
The Proposed Approach 335
Example Case Study 337
Discussion and Future Work 340
References 340
Geographical and Multi-criteria Approach for Hydro-geological Risk Evaluation in Decision Making Processes 342
Introduction 342
The Hydro-geological Risk Evaluation 344
The Case Study 346
The Hydraulic Hazard and the Exposed Vulnerable Maps 347
The Hydro–geological Risk Map 351
Results 353
Conclusions 353
References 355
Analysis of Vulnerability of Road Networks on the Basis of Graph Topology and Related Attribute Information 356
Introduction 356
Background and Theory 357
Definitions 357
Multiple Attributes Value Theory (MAVT) 358
Methods 359
Case Study 361
Vulnerability Analysis of Road Network for Preparedness of Identifying the Vulnerable Locations 361
Vulnerability Analysis of Road Network for Preparedness for Rescue Purpose 364
Conclusion and Discussion 365
References 365
VIII. Using Intelligent Systems for Decision Support in Health Systems 367
Adoption of Open Source Software in Healthcare 367
Introduction 367
Adoption of OSS in Healthcare 370
Conclusion 372
References 373
Symbiotic Simulation Decision Support System for Injury Prevention 375
Introduction 375
Symbiotic Simulation Decision Support System (SSDSS) for Injury Prevention 376
Discussion and Findings of Our Study 378
Conclusion 382
References 382
Application of Subjective Logic to Health Research Surveys 385
Introduction 385
Brief Review of Subjective Logic 387
Subjective Logic for Survey Design 389
UDMDSS Subjective Logic Module 391
Conclusion 392
References 393
A Survey of Text Extraction Tools for Intelligent Healthcare Decision Support Systems 395
Introduction 395
Literature Review and Tools Background 396
Literature Review 396
Tools Background 398
Proposed Method 399
Experimental Results 401
Conclusions and Future Work 402
References 403
IX. Ontology-Based KMS and DMSS for Service Systems 405
Towards Semantic-Aware and Ontology-Based e-Government Service Integration – An Applicative Case Study of Saudi Arabia’s King Abdullah Scholarship Program 405
Introduction and Problem 405
Related Work 407
Architectural Solution 408
Feasibility Analysis 411
Conclusions and Future Work 412
References 412
Using Feature Selection with Bagging and Rule Extraction in Drug Discovery 414
Introduction 414
Method 417
Experiments 418
Results 419
Conclusions 422
References 422
Validating and Designing a Service Centric View for C2TP: Cloud Computing Tipping Point Model 424
Introduction 424
Corporate Enterprise Case Study 425
SME Case Study 426
Analysis of Case Study Data to Enhance C2TP 426
Validating the Case Study Findings 427
Service Enablement of C2TP Model 431
Conclusions and Future Work 432
References 433
Utilization of Agents for Key Distribution in IEEE 802.11 435
Introduction 435
QKD Based Key Exchange Protocol for Wi-Fi 435
MAS Approach 437
Implementation 440
Conclusion 442
References 443
X. Service-Oriented Innovation for Designing Intelligent Environment 444
Approximately Solving Aggregate k-Nearest Neighbor Queries over Web Services 444
Introduction 444
Preliminaries 445
Aggregate k-Nearest Neighbor Queries 445
Problem in Solving k-ANN Queries 446
Procedure for Solving k-ANN Queries 447
Aggregate Distance Function 448
Procedure Using k-NN Queries with Representative Query Point 449
Experiments 450
Precision of k-ANN Query Result 451
Recall Length Ratio of k-ANN Query Result 452
Conclusion 453
References 453
Remotely Accessible Exercise Environment for Intrusion Detection/Defense Exercises Based on Virtual Machine Networks 454
Introduction 454
Related Studies 455
Intrusion Detection/Defense Exercise Carried Out in Our Study 455
System Implementation 455
Function for Interconnecting Virtual Networks 456
Development of Remotely Accessible Execution Environment for Virtual Machine Network Administration 457
System Information Extraction and Presentation Function 457
Automatic Attack Function 457
Execution Examples 458
Evaluation Experiments 460
Conclusions 461
References 462
Supporting Design and Composition of Presentation Document Based on Presentation Scenario 463
Introduction 463
Framework 464
The Process of Presentation Preparation 464
Approach 465
Presentation Scenario Model 466
Externalizing Presentation Documents 467
Arranging Components in a Document Frame 467
Arranging Document Frames 469
Prototyped Tool 469
Conclusion 471
References 471
Translation Unit for Simultaneous Japanese-English Spoken Dialogue Translation 472
Introduction 472
Translation Unit for Simultaneous Translation System 473
Simultaneous Translation Unit 473
Comparing with Linguistic Unit 474
Alignment-Based Translation Unit 475
Definition 475
Construction of the ATU Corpus 475
Length of ATU 477
Detection of ATU 477
Analysis of ATU 477
Method of Detecting 479
Experiment 479
Conclusion 480
References 480
Automatic Extraction of Phrasal Expressions for Supporting English Academic Writing 482
Introduction 482
Characteristics of Phrasal Expression 483
Unit of Phrasal Expression 483
Phrasal Sign 484
Statistical Characteristics 484
Syntactic Constraints 484
Acquisition of Phrasal Expression 485
Phrasal Expression Identification Based on Statistical Characteristics 485
Phrasal Expression Identification Based on Syntactic Constraints 486
Experiments 487
Experimental Settings 487
Experimental Result 488
Discussion 488
Conclusion 489
References 490
A Simulation System of Disaster Areas for Evaluating Communication Systems 491
Introduction 491
Preliminaries 492
Ad-Hoc Unicursal Protocol 492
Hazard Maps 493
Movement of Refugees 495
Construction of Virtual Disaster Areas 495
Data Model for Hazard Maps 495
Building Destruction 496
Road Destruction 497
Mobility Algorithm of Refugees 498
Experiments 498
Related Work 499
Conclusion 499
References 500
Re-ranking of Retrieved Web Pages, Based on User Preference 502
Introduction 502
Approach 503
Re-ranking Method 503
Extraction of Important Keywords 504
Feature Vector in Page 504
Re-ranking Algorithm 505
Experiments and Evaluation 505
Query Modification 508
Conclusion 508
References 509
XI. Applying Intelligent Decision Technology 510
Automated N-Step Univariate Time Series Forecasts with Bayesian Networks 510
Introduction 510
Preliminary Analysis of the Time Series 511
Model Identification 511
Nonstationarity Detection 511
Nonlinearity Detection 512
Results and Discussion 513
Conclusions and Future Work 519
References 519
Application of EVALPSN to Network Routing 521
Introduction 521
Ad-Hoc Network Routing Protocol DSR 522
DSR(Dynamic Source Routing) in EVALPSN 524
Multi-path DSR(MDSR) Protocol 527
Future Work and Conclusion 529
References 529
A Combination of Case-Based Reasoning and Analytic Hierarchy Process to Support Innovation in Industry 531
Introduction 531
The Proposed Approach 532
Case-Based Reasoning 533
Analytic Hierarchy Process 535
Conclusions and Future Work 540
References 541
Urban Spatiotemporal Data Modeling: Application to the Study of Pedestrian Walkways 542
Introduction 542
Background 543
Our Approach 544
The Pattern of Continuants and the Pattern of Occurents 544
Implementation of MADS in an Object Environment 545
Case Study: The Study of Pedestrian Walkways 547
Case Study Presentation and Conceptual Schemas 547
Results 548
Discussion 549
Conclusion 550
References 550
An Efficient Pruning Approach for Class Association Rule Mining 552
Introduction and Related Work 552
Definitions 553
LECR (Lattice of Equivalence Class Rules) Structure 553
LECR-CARM Algorithm (Classification Association Rules Mining Based on LECR) 553
The Algorithm 554
Illustration 555
Pruning Redundant Rules 557
Algorithm 558
Illustration 560
Experimental Results 561
Conclusions and Future Work 562
References 563
XII. Soft Data Analysis Based Fuzzy Systems, Control and Decision Making 564
Binary Tree Classifier Based on Kolmogorov-Smirnov Test 564
Introduction 564
Binary Decision Trees 566
Splitting Criteria for Binary Tree Classifiers 567
Designing of Decision Tree Classifier 568
Algorithm for Designing of Pattern Tree Classifier 570
Experimental Results 570
Conclusions 571
References 572
A Stackelberg Location Problem on a Tree Network with Fuzzy Random Demands 573
Introduction 573
Fuzzy Random Variable 575
Formulation of SLP with Fuzzy Random Demands 575
Reformulation to a Version of Conventional SLP 576
Complexity and Solution Method of the SLP 577
Conclusions and Future Studies 579
References 579
Learning Based Self-organized Additive Fuzzy Clustering Method 581
Introduction 581
An Additive Fuzzy Clustering Model 582
A Self-organized Additive Fuzzy Clustering Method 582
A Learning Based Self-organized Additive Fuzzy Clustering Method 583
Numerical Examples 584
Conclusion 587
References 588
XIII. Kansei Communication and Value Creation in Human Mind 589
A Modeling and Systems Thinking Approach to Activity Rousing Consumer’s Buying Motivation Focusing on “Kansei Information” in POP ADS at the Store 589
Introduction 589
$Kansei$ Information.Buying Behavior Model 591
Causal Relationship between Kansei Information and Sales 593
Relationship between Power of Kansei Information to Increase WTMP and Sales 594
Experiment1: Storefront Sales of a Waterproofing Spray 595
Experiment2: Laxative “Wiz One” by POP ADS on the Store 596
Conclusion 598
References 598
Ageing Society and Kansei Communication 599
Introduction 599
Kansei Communication 600
Nonverbal Aspects 600
Kansei Distance 601
The Elderly and Kansei Communication 602
Changes That Come with Ageing 602
Social Relationships of Elderly People 604
The Elderly Population and Communications Media 605
Social Capital 606
Conclusion 606
References 606
A Study on Group Decision Making with Observation on the Process of Consensus Building 608
Introduction 608
Observation on the Process of Consensus 608
Group1 609
Group2 609
Group3 610
Group4 610
Discussion 610
Summary 611
References 611
Application of Modeling and Recommendation of Sensitivity to Get Tired 612
Introduction 612
Modeling of Get Tired 613
Modeling Approach 613
Proposed Model of Making Menu 613
Evaluation Experiment 615
Method 615
Prevention of Virus Attack (Example of a 3rd-Level Heading) 615
Consideration 617
Our System Model Using Get Tired Menu 617
System Summary 617
Execution Screen System 617
Experimental System 618
Method 618
Result 618
Consideration 619
Summary 620
Reference 620
Evaluation of Feelings Received from the Rhythms of Percussive Timbre and Relationships between Affective Values 621
Introduction 621
Evaluation of Affect Induced by Rhythm Patterns 622
Test Subjects 622
Acoustic Stimulation 622
Questionnaire 622
Experimental Equipment 622
Methodology 624
Experimental Results 624
Effects on Elation 624
Effects on Affinity 624
Effects on Strength 624
Effects on Lightness 626
Effects on Solemnity 627
Relationships between Affective Values 627
Discussions 628
Summary and Future Prospects 628
References 629
A Rough-Set-Based Two-Class Classifier for Large Imbalanced Dataset 630
Introduction 630
Methodologies 631
Rough Set Theory 631
Support Vector Machine 633
Learning of Imbalanced Data 634
Nature Factors of Imbalanced Data 634
Assessment for Imbalanced Data 635
Classifier for Large Imbalanced Data 636
Data Employed 636
Data Scaling 637
RBF Kernel Function 637
Remarks 637
Result and Discussion 637
Concluding Remarks 638
References 639
XIV. Future Direction of Innovative Decision Technologies 641
A Hybrid MADM Based Competence Set Expansion for Marketing Imagination Capabilities 641
Introduction 641
Marketing Imagination, Creativity and Competence Set Expansions 642
Analytic Framework and Methods for Expanding Marketing Imagination Capabilities 644
DEMATEL Method 644
The ANP Method 645
MODM Based Competence Sets Expansions 646
Grey Relational Analysis 647
Expanding Marketing Imagination Capabilities of the Next Generation Telematic Products – A Case Study 647
Discussion 649
Conclusions 649
References 650
Semiconductor Foundry Technology Life Cycle Strategy Portfolio Definitions of Fabless IC Design Firms by Using the ISM and Fuzzy Integral Method 652
Introduction 652
TLC and Outsourcing Strategies 653
Analytic Framework and Methods 655
ISM 655
Fuzzy AHP 656
The Fuzzy Integral Method 657
Empirical Study 658
Discussion 659
Conclusions 659
References 660
An Emotional Designed Based Hybrid MCDM Framework for the Next Generation Embedded System Configurations 662
Introduction 662
Emotional Design and New Product Development 663
Emotional Design 664
New Product Development 664
Platform Design 665
Analytic Framework and Methods 666
Interpretive Structural Modeling (ISM) 666
Fuzzy Analytic Hierarchical Process (FAHP) 667
The Fuzzy Integral Method 668
Empirical Study 669
Discussions 670
Conclusions 671
References 671
Derivations of Factors Influencing Segmental Consumer Behaviors Using the RST Combined with Flow Graph and FCA 674
Introduction 674
Prediction of High Technology Consumer Behaviors 675
Research Methods 677
Rough Set Theory 677
Flow Graphs 679
Formal Concept Analysis 680
An Empirical Study on Deriving Segmental Consumer Behaviors Using the RST Combined with Flow Graph and FCA 681
Process of This Study 681
Discussion 683
Conclusions 684
References 684
Power System Equipments Investment Decision-Making under Uncertainty: A Real Options Approach 686
Introduction 686
Evaluation of Power Systems Equipment Diagnosis 687
Evaluation Using Net Present Value (NPV) 688
Real Options Analysis 689
Application of Real Option Analysis 689
Conclusions 694
References 695
Combining DEMATEL and ANP with the Grey Relational Assessment Model for Improving the Planning in Regional Shopping Centers 696
Introduction 696
Regional Shopping Center Development Measurements 697
Using the DEMATEL Technique to Build a Network Relation Map (NRM) 698
Using the DEMATEL Technique to Build a Network Relation Map (NRM) 698
Finding the Preference of Criteria Weights by ANP Based on the NRM 699
Grey Relation for Evaluation 700
An Empirical Case of Regional Shopping Centers Development 701
Building an Influence Relationship Matrix of an NRM for Regional Shopping Center Development Analysis 702
Weighting of Criteria in Regional Shoppingcenter Development Systems 703
Using Grey Relational Assessment to Prioritize the Regional Shopping Center 704
Discussions 704
Conclusion 705
References 705
Key Success Factors of Brand Marketing for Creating the Brand Value Based on a MCDM Model Combining DEMATEL with ANP Methods 707
Introduction 707
The Brand Marketing and Measurements 708
Building a Hybrid MCDM Model Combining DEMATEL with ANP for Brand Marketing 709
The Empirical Case of Electronic Manufacturing Industry 712
Weighting of Criteria in Brand Marketing 714
Discussion 714
Conclusions 715
References 715
Author Index 717

Erscheint lt. Verlag 19.7.2010
Reihe/Serie Smart Innovation, Systems and Technologies
Smart Innovation, Systems and Technologies
Zusatzinfo XIX, 733 p.
Verlagsort Berlin
Sprache englisch
Themenwelt Geisteswissenschaften
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Sozialwissenschaften Pädagogik
Technik Elektrotechnik / Energietechnik
Schlagworte Computational Intelligence • Development • Environment • fuzzy • information system • Intelligent Decision Technology • knowledge management • Logic • logistics • Management • Marketing • Natur • Optimization • Service
ISBN-10 3-642-14616-3 / 3642146163
ISBN-13 978-3-642-14616-9 / 9783642146169
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