Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Soft Computing for Complex Multiple Criteria Decision Making (eBook)

eBook Download: PDF
2006 | 2006
XX, 172 Seiten
Springer US (Verlag)
978-0-387-30177-8 (ISBN)

Lese- und Medienproben

Soft Computing for Complex Multiple Criteria Decision Making - Ignacy Kaliszewski
Systemvoraussetzungen
96,29 inkl. MwSt
(CHF 93,95)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. The book removes these limitations of MCDM problems by reducing a problem's computational complexity. The result is a wider and more functional general framework for presenting, teaching, implementing and applying a wide range of MCDM methodologies.


"e;Daprima importa sappere di che cosa si tratta."e; ("e;The ?rst thing is to know what the talk is about"e;.) Attributed to Vilfredo Pareto. This book results from my continuous and deep interest in multiple criteria decision making (MCDM). Eleven years ago I wrote in my p- vious monograph: "e;This work results from my interest in the ?eld of vector optimization. I stumbled ?rst upon this subject in 1982 [ ... ]. I was attracted then by a gap between vector optimization used to serve as a formal model for multiple objective decision problems and the - cision problems themselves, the gap nonexistent in scalar optimization. Roughly speaking, vector optimization provides methods for ranking - cisions according to a partial order whereas decision making requires a linear ordering of decisions."e; This declaration is still valid and nothing needs to be changed. To be more speci?c, this book is a fruit of my dissatisfaction with the current state-of-the-art of MCDM. MCDM is a branch of science, whose declared ultimate goal is to provide practical tools. However, we cannot say, and this is regrettable, that all present MCDM methods and algorithms are in popular use by those who make complex decisions and for that purpose are in need of methodological or computational support.

Contents 7
List of Figures 11
List of Tables 14
Preface 16
Notation 18
Chapter 1 INTRODUCTION 20
Annotated References 26
Chapter 2 PRELIMINARIES 27
1. This Chapter Is About ... 28
2. Dominance and Efficiency 28
3. Definitions And Problem Settings 32
4. Trade-offs 42
5. Concluding Remarks 48
6. Annotated References 48
Chapter 3 MCDM - BASIC TOOLS 50
1. This Chapter Is About ... 50
2. Pareto Set Characterizations 51
2.1 Characterizations By Weight Manipulations 52
2.2 Characterization By Reference Point Manipulations 57
2.3 Characterization By Constraint Manipulations 59
3. Concluding Remarks 60
4. Annotated References 60
Chapter 4 MCDM INTERACTIVE METHODS - AN OVERVIEW 62
1. This Chapter Is About ... 62
2. MCDM Interactive Methods 63
3. Weight Method Class 64
3.1 Weight Cut Methods 64
3.2 Tchebycheff Method 68
4. Reference Point Method Class 68
5. Constraint Method Class 70
6. Concluding Remarks 70
7. Annotated References 71
Chapter 5 UNIVERSAL MCDM INTERFACE 74
1. This Chapter Is About ... 74
2. Towards Universal MCDM Interface 75
2.1 Weight Methods Versus Reference Point Methods 76
3. Universal Interface 82
4. Concluding Remarks 83
5. Annotated References 84
Chapter 6 GENERIC INTERACTIVE MCDM SUPPORT SCHEME 85
1. This Chapter Is About ... 85
2. Generic Interactive MCDM Support Scheme 85
2.1 Preference Expressing In MCDM 86
3. Generic Interactive MCDM Support Scheme - GIS2 89
4. Practical Example 92
5. GIS2 AtWork 95
6. Concluding Remarks 101
7. Annotated References 102
Chapter 7 BOUNDS ON OUTCOME COMPONENTS 104
1. This Chapter Is About ... 104
2. Bounds On Efficient Outcome Components 105
3. Bounds On Pareto Set 106
4. Pareto Set Approximations 106
5. Parametric Bounds On Efficient Outcomes 109
5.1 Lower Bounds 110
5.2 Upper Bounds 112
6. Parametric Bound Dynamics 120
7. Numerical Example 122
8. Parametric Bounds When k = 2 And Z Is Rk+-convex 130
9. Controlling Parametric Bound Tightness 133
10. Concluding Remarks 137
11. Annotated References 138
Chapter 8 BOUNDS ON GLOBAL TRADE-OFFS 140
1. This Chapter Is About ... 140
2. Bounds On Global Trade-offs 141
3. Numerical Examples 143
4. Concluding Remarks 146
5. Annotated References 148
Chapter 9 SOFT COMPUTING FOR COMPLEX MCDM PROBLEMS 149
1. This Chapter Is About ... 149
2. Solving Complex MCDM Problems With Soft Computing 149
3. Applications Of Parametric Bounds To Interactive MCDM Methods 151
3.1 Optimization and Cost Effectiveness 151
3.2 Fitness 159
3.3 Versatility 159
3.4 Practical Example 160
4. Soft Computing with GIS2 161
5. GIS3 At Work 162
6. Concluding Remarks 168
7. Annotated References 170
References 171
Sources of Quotations 179
Index 180

Erscheint lt. Verlag 7.6.2006
Reihe/Serie International Series in Operations Research & Management Science
International Series in Operations Research & Management Science
Zusatzinfo XX, 172 p. 48 illus.
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte algorithm • algorithms • Complexity • computing • Engineering Economics • Kaliszewski • MCDM • Multiple Criteria Decision Making • Optimization
ISBN-10 0-387-30177-1 / 0387301771
ISBN-13 978-0-387-30177-8 / 9780387301778
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 1,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Discover tactics to decrease churn and expand revenue

von Jeff Mar; Peter Armaly

eBook Download (2024)
Packt Publishing (Verlag)
CHF 24,60