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Multi-Criteria Decision Analysis : Methods and Software by Alessio Ishizaka and Philippe Nemery (2013, Hardcover)
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Multi-Criteria Decision Analysis : Methods and Software, Hardcover by Ishizaka, Alessio; Nemery, Philippe, ISBN 1119974070, ISBN-13 9781119974079, Brand New, Free shipping in the US Ishizaka (decision analysis, U. of Portsmouth, Britain) and Nemery, a Shanghai-based specialist in business software, introduce the main multi-criteria decision analysis methods described in the literature. They are arranged by type: the full aggregation approach; the outranking approach; the goal, aspiration, or reference-level approach; and integrated systems. Among the topics are the analytic hierarchy process, the multi-attribute utility theory, MACBETH, TOPSIS, and data envelopment analysis. Annotation ©2013 Book News, Inc., Portland, OR ()
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-101119974070
ISBN-139781119974079
eBay Product ID (ePID)159927948
Product Key Features
Number of Pages320 Pages
LanguageEnglish
Publication NameMulti-Criteria Decision Analysis : Methods and Software
SubjectManagement Information Systems, Decision-Making & Problem Solving, Probability & Statistics / General
Publication Year2013
TypeTextbook
Subject AreaMathematics, Computers, Education
AuthorAlessio Ishizaka, Philippe Nemery
FormatHardcover
Dimensions
Item Height0.8 in
Item Weight18.6 Oz
Item Length9.3 in
Item Width6.2 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
IllustratedYes
Dewey Decimal003.56
Table Of ContentForeword xi Acknowledgements xiii 1 General introduction 1 1.1 Introduction 1 1.2 Decision problems 3 1.3 MCDA methods 4 1.4 MCDA software 5 1.5 Selection of MCDA methods 5 1.6 Outline of the book 8 References 9 Part I FULL AGGREGATION APPROACH 11 2 Analytic hierarchy process 13 2.1 Introduction 13 2.2 Essential concepts of AHP 13 2.3 AHP software: MakeItRational 20 2.4 In the black box of AHP 27 2.5 Extensions of AHP 40 References 54 3 Analytic network process 59 3.1 Introduction 59 3.2 Essential concepts of ANP 59 3.3 ANP software: Super Decisions 68 3.4 In the black box of ANP 76 References 80 4 Multi-attribute utility theory 81 4.1 Introduction 81 4.2 Essential concepts of MAUT 81 4.3 RightChoice 89 4.4 In the black box of MAUT 97 4.5 Extensions of the MAUT method 98 References 112 5 MACBETH 114 5.1 Introduction 114 5.2 Essential concepts of MACBETH 114 5.3 Software description: M-MACBETH 122 5.4 In the black box of MACBETH 131 References 133 Part II OUTRANKING APPROACH 135 6 PROMETHEE 137 6.1 Introduction 137 6.2 Essential concepts of the PROMETHEE method 137 6.3 The Smart Picker Pro software 149 6.4 In the black box of PROMETHEE 160 6.5 Extensions of PROMETHEE 170 References 177 7 ELECTRE 180 7.1 Introduction 180 7.2 Essentials of the ELECTRE methods 180 7.3 The Electre III-IV software 189 7.4 In the black box of ELECTRE III 194 7.5 ELECTRE-Tri 204 References 210 Part III GOAL, ASPIRATION OR REFERENCE-LEVEL APPROACH 213 8 TOPSIS 215 8.1 Introduction 215 8.2 Essentials of TOPSIS 215 References 221 9 Goal programming 222 9.1 Introduction 222 9.2 Essential concepts of goal programming 222 9.3 Software description 227 9.4 Extensions of the goal programming 228 References 234 10 Data Envelopment Analysis 235 Jean-Marc Huguenin 10.1 Introduction 235 10.2 Essential concepts of DEA 236 10.3 The DEA software 252 10.4 In the black box of DEA 262 10.5 Extensions of DEA 268 References 270 Part IV INTEGRATED SYSTEMS 275 11 Multi-method platforms 277 11.1 Introduction 277 11.2 Decision Deck 278 11.3 DECERNS 278 References 287 Appendix: Linear optimization 288 A.1 Problem modelling 288 A.2 Graphical solution 289 A.3 Solution with Microsoft Excel 289 Index 293
SynopsisThis book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website., A comprehensive and accessible guide to Multi-Criteria Decision Analysis methods and software. In an increasingly complex and rapidly changing world, Multi-Criteria Decision Analysis (MCDA) is an important tool for decision-makers. As the growing global population is exposed to ever increasing information and choice of products and services, the need for decision aid tools becomes more apparent. Applications for MCDA extend to corporate management, environment, construction, information systems, health and many more. This book provides a broad coverage of the different MCDA methods and software available. It presents the underlying philosophy and theory of each of the principal methods whilst avoiding deep mathematical explanations to aid students, industry practitioners and researchers in the selection and use of appropriate MCDA methods. This book : * Presents the key MCDA methods, exploring the latest research. * Examines leading software, including ELECTRE, AHP, Macbeth and Promethee. * Takes a learning-by-doing approach: step-by-step worked examples drawn from real life experiences enable readers to learn and assess their understanding. * Includes independent chapters; the reader is able to focus on specific methods. * Features case studies solved with each presented MCDA method/software. * Is supported by an accompanying website featuring free trial versions of the software along with worked examples http://www.wiley.com/go/multi--criteria--decision--analysis This book is a guide for students, researchers and practitioners, working in industries where there is a need for MCDA methods, such as business, fi nance and applied mathematics, engineering and purchasing. The book is suitable for all levels of mathematical skill., This book presents an introduction to MCDA with chapters describing in detail each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Case studies are included throughout.
LC Classification NumberT57.95.I84 2013
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