Decision support and expert systems: management support systems
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Englewood Cliffs, NJ
Prentice Hall
1995
|
| Ausgabe: | 4. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 5. Aufl. u.d.T.: Turban, Efraim: Decision support systems and intelligent systems |
| Beschreibung: | Getr. Zählung graph. Darst. |
| ISBN: | 0024217018 0133203832 |
Internformat
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| 245 | 1 | 0 | |a Decision support and expert systems |b management support systems |c Efraim Turban |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a Englewood Cliffs, NJ |b Prentice Hall |c 1995 | |
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| 650 | 4 | |a Gestion - Informatique | |
| 650 | 7 | |a Management informatiesystemen |2 gtt | |
| 650 | 4 | |a Systèmes d'aide à la décision | |
| 650 | 4 | |a Systèmes experts (Informatique) | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Decision support systems | |
| 650 | 4 | |a Expert systems (Computer science) | |
| 650 | 4 | |a Management |x Data processing | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Ill
Brief Contents
Part 1 Introduction 1
Chapter 1 Management Support Systems: An Overview 2
Chapter 2 Decision Making, Systems, Modeling, and
Support 37
Part 2 Decision Support Systems 79
Chapter 3 Decision Support Systems: An Overview 80
Chapter 4 Data Management 125
Chapter 5 Modeling and Model Management 160
Chapter 6 User Interface 216
Chapter 7 Constructing a Decision Support System 266
Chapter 8 Organizational DSS and Advanced Topics 304
Part 3 Enterprise Support Systems 335
Chapter 9 Group Decision Support Systems 336
Chapter 10 Distributed Group Support Systems 374
Chapter 11 Executive Information and Support Systems 400
Part 4 Fundamentals of Artificial
Intelligence and Expert Systems 441
Chapter 12 Applied Artificial Intelligence: An Overview 442
Chapter 13 Fundamentals of Expert Systems 472
Chapter 14 Knowledge Acquisition and Validation 515
Chapter 15 Knowledge Representation 558
Chapter 16 Inferences, Explanations, and Uncertainty 588
Chapter 17 Building Expert Systems: Process and Tools 634
Part 5 Cutting Edge Decision Support
Technologies 681
Chapter 18 Neural Computing: The Basics 682
Chapter 19 Neural Computing Applications, Genetic
Algorithms, and Fuzzy Logic 716
vii
viii Brief Contents
Part 6 Integration and Implementation 757
Chapter 20 Integrating Decision Support Technologies 758
Chapter 21 Implementing Management Support Systems 798
Chapter 22 Organizational and Societal Impacts of :
Management Support Systems 836 I
*
Part 7 Appendix and Student Project A1
A
Ill
Contents
B Preface xxi
I Part 1 Introduction 1
I Chapter 1 Management Support Systems:
I An Overview 2
B 1.1 Managers and Computerized Support 3
B 1.2 Managerial Dedsion Making and Management Information
B Systems 5
¦ 1.3 A Framework for Decision Support 7
B 1.4 Decision Support Systems 10
B 1.5 Group Support Systems 14
¦ 1.6 Executive Information (or Support) Systems 15
|| 1.7 Expert Systems 16
||| 1.8 Neural Computing (Artificial Neural Networks) 16
B 1.9 The Evolution of Computerized Decision Aids 18
Jj 1.10 Some Differences Between MIS and DSS 22
||j 1.11 The Decision Support Expert Systems Connection 24
gjj 1.12 Support of Decision Making 24
jjj 1.13 Hybrid Support Systems 27
B 1.14 Plan of the Book 28
B Case Application 1: Manufacturing and Marketing of Machine
B Devices 32
H Appendix 1 A: Computer Based Information Systems in a Personnel
H Department 35
ix
x Contents
Chapter 2 Decision Making, Systems, Modeling,
and Support 37
2.1 Decision Making 38
2.2 Systems 38
2.3 Models 42
2.4 The Modeling Process—A Preview 43
2.5 The Intelligence Phase 46
2.6 The Design Phase 48
2.7 The Choice Phase 58
2.8 Evaluation: Multiple Goals, Sensitivity Analysis, What If,
and Goal Seeking 62
2.9 Critical Success Factors 67
2.10 Implementation 67
2.11 How Decisions Are Being Supported 68
2.12 Human Cognition and Decision Styles 71
2.13 Making Decisions in Groups 72
Part 2 Decision Support Systems 79
Chapter 3 Decision Support Systems:
An Overview 80
3.1 The Case of Gotaas Larsen Shipping Corp. (GLSC) 81
3.2 Introduction 82
3.3 WhatlsaDSS? 82
3.4 Characteristics and Capabilities of DSS 85
3.5 Components of DSS 88
3.6 The Data Management Subsystem 89
3.7 The Model Management Subsystem 95
3.8 The Knowledge Subsystem 98
3.9 The User Interface (Dialog) Subsystem 99
3.10 The User 101
3.11 DSS Hardware and Software 101
3.12 Classification of DSS and Their Support 104
3.13 The Big Picture 108
3.14 Technology Levels 108
Case Application 1: Financial Planning at the Louisiana National
Bank 116
Case Study 2: Decision Support for Military Housing Managers 119
Appendix 3 A: Examples of Ready Made Systems 123
Chapter 4 Data Management 125
4.1 Introduction 126
4.2 Sources of Data 126
Contents xi
4.3 Data Collection and Data Problems 128
4.4 Commercial Database Services 129
4.5 Databases and Database Management Systems:
An Introduction 131
4.6 Fourth generation Systems 133
4.7 Database Structures and SQL 134
4.8 Object oriented Databases 137
4.9 Database Applications versus Spreadsheets 139
4.10 Enterprise Decision Support and the Information
Warehouse 139
4.11 Clienl/Server Architecture 142
4.12 Multidimensionality 145
4.13 Accessing Data: Data Dipping 147
4.14 Intelligent Databases 151
Case Application 1: DSS in a Chinese Chemical Plant 156
Chapter 5 Modeling and Model Management 160
5.1 Modeling in MSS 161
5.2 Static and Dynamic Models 163
5.3 Treating Certainty, Uncertainty, and Risk 163
5.4 Decision Analysis of Few Alternatives (Decision Tables
j and Trees) 164
5.5 Optimization via Mathematical Programming 166
j 5.6 Simulation 170
j 5.7 Heuristic Programming 174
I 5.8 Influence Diagrams 177
| 5.9 Forecasting 179
| 5.10 Nonquantitative Modeling 181
| 5.11 Modeling Languages and Spreadsheets 181
1 5.12 Multidimensional Modeling 183
1 5.13 Visual Spreadsheets 187
| 5.14 Financial and Planning Modeling 188
| 5.15 Ready made Quantitative Models 190
| 5.16 Model Base Structure and Management 197
j Appendix 5 A: Spreadsheet Analysis for Quantity Discounts Using
1 Lotus 1 2 3 209
! Appendix 5 B: The Analytic Hierarchy Process (AHP) Using Expert
Choice 212
Chapter 6 User Interface 216
6.1 Opening Case: Geographical Information System at Dallas
Transit Authority 217
6.2 User Interfaces: An Overview 218
6.3 Interface Modes (Styles) 220
(
1
i
xjj Contents ]
6.4 Graphics 223
6.5 Graphical User Interface (GUI) 227 ;
6.6 Multimedia and Hypermedia 232
6.7 Visual Interactive Modeling (or Decision Making) 235
6.8 Virtual Reality 240 ;
6.9 Geographical Information System (GIS) 241 ;
6.10 Natural Language Processing: An Overview 242
6.11 Natural Language Processing: Methods 243
6.12 Applications of Natural Language Processing and
Software 250 ;
6.13 Speech (Voice) Recognition and Understanding 253
6.14 Research on User Interface in MSS 257
Case Application 1: Visual Simulation at Weyerhaeuser Co. 261
Chapter 7 Constructing a Decision Support
System 266
7.1 Introduction 267
7.2 Development Strategies 267
7.3 The DSS Development Process 268
7.4 The Development Process: Life Cycle versus
Prototyping 272
7.5 Team developed versus User developed DSS 275
7.6 Team developed DSS 275
7.7 End user Computing and User developed DSS 281
7.8 DSS Generators 286
7.9 Selection of a DSS Generator and Other Software Tools 288
7.10 Developing DSS in the Windows Environment 291
Case Application 1: Hospital Healthcare Services Uses DSS 295
Case Application 2: Wesleyan University—A DSS for Student Financial
Aid 296
Appendix 7 A: Prototyping 299
Appendix 7 B: Specific Tactics within Different Quality control
Approaches Aimed at Controlling the Risks of User developed
DSS 302
Chapter 8 Organizational DSS and Advanced
Topics 304
8.1 Case: DSS in the Egyptian Cabinet 305
8.2 The Conceptualization of Organizational DSS (ODSS) 307
8.3 The Architecture of ODSS 309
8.4 Constructing an ODSS 311
8.5 The Enlisted Force Management System (EFMS) 312
8.6 Implementing ODSS 315
8.7 Intelligent DSS (Active, Symbiotic) 317
Contents xiii
8.8 Self evolving DSS 319
8.9 Idea Generation and Creativity 320
8.10 DSS Research Directions 324
8.11 The DSS of the Future 328
Part 3 Enterprise Support System 335
Chapter 9 Group Decision Support Systems 336
9.1 Case: Quality Improvement Teams 337
9.2 Decision Making in Groups 339
9.3 The Use of Information Technology: Groupware 341
9.4 WhatlsaGDSS? 344
9.5 The Goal of GDSS and Its Levels 345
9.6 The Technology of GDSS 348
9.7 The Decision (Electronic Meeting) Room 350
9.8 GDSS Software 351
9.9 Idea Generation 355
9.10 Negotiation Support Systems (NSS) 356
9.11 How a GDSS Meeting Runs 358
9.12 Constructing a GDSS and the Determinants of Its
Success 359
9.13 GDSS Research Challenges 361
Case Application 1: GDSS in City Government 366
Appendix 9 A: An Example of a GDSS Meeting 372
Chapter 10 Distributed Group Support Systems 374
10.1 Case: Using Notes at Price Waterhouse 375
10.2 Why Distributed GSS? 376
10.3 The Distributed GSS Technologies 377
10.4 Windows for Workgroups 378
10.5 Lotus Notes 378
10.6 Electronic Teleconferencing 383
10.7 Electronic Mail 385
10.8 Electronic Data Interchange (EDI) 388
10.9 GSS Software and Workflow Systems 390
10.10 Distributed Interactive Desktop Groupware 392
10.11 Telecommuting (Working at Home) 394
Case Application 1: General Mills Uses EDI 397
Chapter 11 Executive Information and Support
Systems 400
11.1 Executive Information System at Hertz Corporation 401
11.2 Concepts and Definitions 402
}
xjv Contents
11.3 The Nature of the Executive s Work 404
11.4 Executives Information Needs 406
11.5 The Characteristics of EIS 409
11.6 Comparing EIS and MIS 413
11.7 Comparing and Integrating EIS and DSS 415
11.8 Hardware 419
11.9 Software 421
11.10 Multidimensional Analysis and Presentation 425
11.11 Data Access EIS: Lightship 425
11.12 System Development 426 •
11.13 Enterprise EIS 428 •
11.14 EIS Implementation: Success or Failure 430
11.15 The Future of EIS and Research Issues 432
Part 4 Fundamentals of Artificial
Intelligence and Expert Systems 441
Chapter 12 Applied Artificial Intelligence:
An Overview 442
12.1 Introduction 443 :
12.2 Definitions 443 ;
12.3 Artificial versus Natural Intelligence 446 ;
12.4 Knowledge in AI 447 ;
12.5 How AI Differs from Conventional Computing 449
12.6 Does a Computer Really Think? 451
12.7 The AI Field 452
12.8 The Future of AI 456
Appendix 12 A: Human Problem Solving—An Information Processing
Approach (The Newell Simon Model) 462
Appendix 12 B: Problem Representation in AI 465
Appendix 12 C: Blind Search Methods 468
Chapter 13 Fundamentals of Expert Systems 472
13.1 Introduction 473
13.2 History of Expert Systems 473
13.3 The Case of CATS 1 (DELTA) 475
13.4 Basic Concepts of Expert Systems 476
13.5 Structure of Expert Systems 480
13.6 The Human Element in Expert Systems 483
13.7 How Expert Systems Work 485
13.8 An Expert System at Work 486
13.9 Problem Areas Addressed by Expert Systems 489
13.10 Benefits of Expert Systems 490
Contents xv
13.H Problems and Limitations of Expert Systems 494
13.12 Types of Expert Systems 495
Case Application 1: Gate Assignment Display System (GADS) 503
Case Application 2: Expert System in Building Construction
(EXSOFS) 505
Case Application 3: Soviet Union Trade Advisor 506
Case Application 4: DustPro—Environmental Control in Mines 507
Appendix 13 A: Systems Cited in Chapter 509
Appendix 13 B: Classic Expert Systems 510
Appendix 13 C: Typical Expert Systems Applications 514
Chapter 14 Knowledge Acquisition and Validation 515
14.1 Knowledge Engineering 516
14.2 Scope of Knowledge 517
14.3 Difficulties in Knowledge Acquisition 521
14.4 Methods of Knowledge Acquisition: An Overview 523
14.5 Interviews 525
14.6 Tracking Methods 528
14.7 Observations and Other Manual Methods 529
14.8 Expert driven Methods 530
14.9 Repertory Grid Analysis 532
14.10 Supporting the Knowledge Engineer 534
14.11 Rule Induction, Case based Reasoning, and Neural
Computing 537
14.12 Selecting an Appropriate Method 542
14.13 Knowledge Acquisition from Multiple Experts 542
14.14 Validation and Verification of the Knowledge Base 546
14.15 Analyzing, Coding, Documenting, and Diagramming 548
14.16 Numeric and Documented Knowledge Acquisition 549
Chapter 15 Knowledge Representation 558
15.1 Introduction 559
15.2 Representation in Logic 559
15.3 Semantic Networks 561
15.4 Scripts, Lists, Tables, and Trees 563
15.5 Objects, Attributes, and Values 565
15.6 Production Rules 566
15.7 Frames 569
15.8 Multiple Knowledge Representation 574
15.9 Representing Uncertainty: An Overview 575
Appendix 15 A: Object oriented Programming 582
1
^ Contents
Chapter iG Inferences, Explanations,
and Uncertainty 588
16.1 Inferencing: An Overview 589
16.2 Categories of Reasoning 589
16.3 Reasoning with Logic 592
16.4 Inferencing with Rules: Forward and Backward
Chaining 593
16.5 The Inference Tree 599
16.6 Inferencing with Frames 601
16.7 Model based Reasoning 603
16.8 Case based Reasoning 604
16.9 Explanation and Metaknowledge 611
16.10 Inferencing with Uncertainty 614
16.11 Representing Uncertainty 615
16.12 Probabilities and Related Approaches 617
16.13 Theory of Certainty (Certainty Factors) 619
Case Application 1: Compaq Quicksource: Using Case based Reasoning
for Problem Determination 628
Appendix 16 A: ES Shells and Uncertainty 632
Chapter 17 Building Expert Systems: Process
and Tools 634
17.1 Development Life Cycle 635
17.2 Phase I: Project Initialization 635
17.3 Problem Definition and Needs Assessment 635
17.4 Evaluation of Alternative Solutions 637
17.5 Verification of an Expert System Approach 638
17.6 Consideration of Managerial Issues 639
17.7 Phase II: System Analysis and Design 640
17.8 Conceptual Design 640
17.9 Development Strategy and Methodology 641
17.10 Selecting an Expert 642
17.11 Software Classification: Technology Levels 644
17.12 Building Expert Systems with Tools 646
17.13 Shells and Environments 647
17.14 Software Selection 650
17.15 Hardware Support 652
17.16 Feasibility Study 653
17.17 CoSt benefit Analysis 654
17.18 Phase III: Rapid Prototyping and a Demonstration
Prototype 655
17.19 Phase IV: System Development 659
17.20 Building the Knowledge Base 659
Contents xvii
17.21 Testing, Validating and Verifying, and Improving 662
17.22 Phase V: Implementation 665
17.23 Phase VI: Postimplementation 666
17.24 Organizing the Development Team 667
Case Application 1: State of Washington s Department of Labor 672
Appendix 17 A: AI (Symbolic) Languages 675
Appendix 17 B: Software Sampler 678
Appendix 17 C: How to Build a Knowledge Base (Rule based)
System 679
Part 5 Cutting Edge Decision Support
Technologies 681
Chapter 18 Neural Computing: The Basics 682
18.1 Machine Learning Overview 683
18.2 An Overview of Neural Computing 684
18.3 The Biology Analogy 685
18.4 Neural Network Fundamentals 687
18.5 Developing Neural Network Applications 693
18.6 Data Collection and Preparation 695
18.7 Network Architecture 6%
18.8 Preparation 699
18.9 Training the Network 699
18.10 Learning Algorithms 700
18.11 Backpropagation 703
18.12 Testing 703
18.13 Implementation 704
18.14 Programming Neural Networks 705
18.15 Neural Network Hardware 706
18.16 Benefits of Neural Networks 707
18.17 Limitations of Neural Networks 707
18.18 Neural Networks and Expert Systems 708
Chapter 19 Neural Computing Applications,
Genetic Algorithms, and Fuzzy Logic 716
19.1 Applying Neural Computing to Marketing: A Case 717
19.2 Areas of ANN Applications: An Overview 718
19.3 Using ANNs for Credit Approval 719
19.4 Using ANNs for Bankruptcy Prediction 726
19.5 Stock Market Prediction System with Modular Neural
Networks 729
19.6 Examples of Integrated ANNs and Expert Systems 733
19.7 Genetic Algorithms 736
I
xviii Contents
19.8 Optimization Algorithms 741 i
19.9 Fuzzy Logic: Theory and Applications 741
19.10 Cross Fertilization of Cutting Edge Technologies 747 ;
Part 6 Integration and Implementation 757 |
Chapter 20 Integrating Decision Support ;
Technologies 758 t
20.1 What Is Systems Integration? 759 J
20.2 Why Integrate? 763
20.3 Intelligent Modeling and Model Management 763 i
20.4 Intelligent Human Machine Interfaces 767
20.5 Models of ES and DSS Integration 767
20.6 Integrating EIS, DSS, and ES 773 ;
20.7 Integrating Management Support Technologies 775
20.8 Links with Other Computer based Information Systems 777
20.9 Problems and Issues in Integration 779
20.10 Examples of Integrated Systems 781
20.11 Integration of Tools 790
Case Application 1: Urban Traffic Management 793
Chapter 21 Implementing Management Support
Systems 798
21.1 Introduction 799
21.2 Implementation: Success and Failure 799 ;
21.3 Models of Implementation 802
21.4 Technical Factors 803
21.5 Behavioral Factors 804
21.6 Resistance to Change and How to Manage It 805
21.7 Process Factors 808
21.8 User Involvement and Training 812
21.9 Organizational Factors 814
21.10 External Environment 816
21.11 Project related Factors 817
21.12 Evaluation 819
21.13 Implementation Strategies 821
Case Application 1: Implementing DSS at Firestone Tire Rubber
Co. 829
Case Application 2: Campbell Soup Puts Expert System to Work in Their
Kitchens 831
Contents xix
Chapter 22 Organizational and Societal Impacts
of Management Support Systems 836
22.1 Introduction 837
22.2 Overview of Impacts 838
22.3 Reengineering, Restructuring, and Related Areas 839
22.4 Personnel Management Issues 844
22.5 Individuals 846
22.6 Productivity, Competitiveness 848
22.7 Decision Making and the Manager s Job 848
22.8 Institutional—Information Bases 849
22.9 Issues of Legality, Privacy, and Ethics 850
22.10 The Information Center 852
22.11 Research and Development: The Fifth generation
Project 854
22.12 Automation and Employment 856
22.13 AI and Employment 857
22.14 Training, Retraining, and Education 861
22.15 Other Societal Impacts 862
22.16 Managerial Implications and Social Responsibilities 864
Part 7 Appendix and Student Project A1
Glossary 872
Appendix Lockheed Georgia Company: Executive
Information Systems A2
Student Project Frazee Paint, Inc.—An Example
of a Student developed DSS A30
Index 11
|
| any_adam_object | 1 |
| author | Turban, Efraim 1930- |
| author_GND | (DE-588)13563024X |
| author_facet | Turban, Efraim 1930- |
| author_role | aut |
| author_sort | Turban, Efraim 1930- |
| author_variant | e t et |
| building | Verbundindex |
| bvnumber | BV010119226 |
| callnumber-first | H - Social Science |
| callnumber-label | HD30 |
| callnumber-raw | HD30.2 |
| callnumber-search | HD30.2 |
| callnumber-sort | HD 230.2 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| classification_rvk | QP 345 ST 302 |
| ctrlnum | (OCoLC)30812571 (DE-599)BVBBV010119226 |
| dewey-full | 658.4/03/0285633 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/03/0285633 |
| dewey-search | 658.4/03/0285633 |
| dewey-sort | 3658.4 13 6285633 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV010119226 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:46:50Z |
| institution | BVB |
| isbn | 0024217018 0133203832 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006719482 |
| oclc_num | 30812571 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-384 DE-703 DE-29T DE-83 |
| owner_facet | DE-355 DE-BY-UBR DE-384 DE-703 DE-29T DE-83 |
| physical | Getr. Zählung graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Prentice Hall |
| record_format | marc |
| spelling | Turban, Efraim 1930- Verfasser (DE-588)13563024X aut Decision support and expert systems management support systems Efraim Turban 4. ed. Englewood Cliffs, NJ Prentice Hall 1995 Getr. Zählung graph. Darst. txt rdacontent n rdamedia nc rdacarrier 5. Aufl. u.d.T.: Turban, Efraim: Decision support systems and intelligent systems Decision support systems gtt Expertsystemen gtt Gestion - Informatique Management informatiesystemen gtt Systèmes d'aide à la décision Systèmes experts (Informatique) Datenverarbeitung Decision support systems Expert systems (Computer science) Management Data processing Unternehmen (DE-588)4061963-1 gnd rswk-swf Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd rswk-swf Managementinformationssystem (DE-588)4074518-1 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Expertensystem (DE-588)4113491-6 s Unternehmen (DE-588)4061963-1 s DE-604 Managementinformationssystem (DE-588)4074518-1 s Entscheidungsunterstützungssystem (DE-588)4191815-0 s HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006719482&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Turban, Efraim 1930- Decision support and expert systems management support systems Decision support systems gtt Expertsystemen gtt Gestion - Informatique Management informatiesystemen gtt Systèmes d'aide à la décision Systèmes experts (Informatique) Datenverarbeitung Decision support systems Expert systems (Computer science) Management Data processing Unternehmen (DE-588)4061963-1 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Managementinformationssystem (DE-588)4074518-1 gnd Expertensystem (DE-588)4113491-6 gnd |
| subject_GND | (DE-588)4061963-1 (DE-588)4191815-0 (DE-588)4074518-1 (DE-588)4113491-6 (DE-588)4123623-3 |
| title | Decision support and expert systems management support systems |
| title_auth | Decision support and expert systems management support systems |
| title_exact_search | Decision support and expert systems management support systems |
| title_full | Decision support and expert systems management support systems Efraim Turban |
| title_fullStr | Decision support and expert systems management support systems Efraim Turban |
| title_full_unstemmed | Decision support and expert systems management support systems Efraim Turban |
| title_short | Decision support and expert systems |
| title_sort | decision support and expert systems management support systems |
| title_sub | management support systems |
| topic | Decision support systems gtt Expertsystemen gtt Gestion - Informatique Management informatiesystemen gtt Systèmes d'aide à la décision Systèmes experts (Informatique) Datenverarbeitung Decision support systems Expert systems (Computer science) Management Data processing Unternehmen (DE-588)4061963-1 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Managementinformationssystem (DE-588)4074518-1 gnd Expertensystem (DE-588)4113491-6 gnd |
| topic_facet | Decision support systems Expertsystemen Gestion - Informatique Management informatiesystemen Systèmes d'aide à la décision Systèmes experts (Informatique) Datenverarbeitung Expert systems (Computer science) Management Data processing Unternehmen Entscheidungsunterstützungssystem Managementinformationssystem Expertensystem Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006719482&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT turbanefraim decisionsupportandexpertsystemsmanagementsupportsystems |