Multiple Attribute Decision Making
eBook - PDF

Multiple Attribute Decision Making

An Introduction

  1. 85 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Multiple Attribute Decision Making

An Introduction

About this book

Multiple attribute decision making (MADM) procedures, a process for making preference decisions over the available alternatives which are characterized by multiple (usually conflicting) attributes are useful for improving decision making in a wide range of circumstances--from professional to managerial to political. Using real-world case examples, the authors introduce the reader to normative (for optimal decisions) MADM models. Beginning in chapter 2 with and introductions to the various attributes in a decision, the authors explore how MADM methods can be used for descriptive purposes to model the existing decision-making process, noncompensatory and scoring methods, accommodation of soft data, construction of a multiple decision support system, and the validity of methods. The authors also include a presentation of the advanced procedures of TOPSIS and ELECTRE. This manual offers social scientists an encapsulated view of MADM methods, their characteristics, applicability, and the methods for solving MADM problems.


Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Multiple Attribute Decision Making by K. Paul Yoon,Ching-Lai Hwang in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Contents
  3. Series Editor's Introduction
  4. Acknowledgments
  5. Chapter 1 - Introduction
  6. 1.1. Multiple Attribute Decision Making
  7. 1.2. Budget Reduction Decision: A MADM Case
  8. 1.3. Ben Franklin's Solution: Classic MADM Approach
  9. 1.4. Classification of MADM Methods
  10. 1.5. Scope of the Monograph
  11. Chapter 2 - Attribute Generation, Data, and Weight
  12. 2.1. Attribute Generation
  13. 2.2. Attribute weighting
  14. 2.2.1. Weights from Ranks
  15. 2.2.2. Ratio Weighting
  16. 2.3. Quantification of Qualitative Ratings
  17. 2.4. Normalization of Attribute Ratings
  18. Chapter 3 - Noncompensatory Methods
  19. 3.1. Dominance
  20. 3.2. Satisficing Methods
  21. 3.2.1. Conjunctive Method
  22. 3.2.2. Disjunctive Method
  23. 3.3. Sequential Elimination Methods
  24. 3.3.1. Lexicographic Methods
  25. 3.3.2. Elimination by Aspects
  26. 3.4. Attitude Oriented Methods
  27. 3.4.1. Maximin
  28. 3.4.2. Maximax
  29. Chapter 4 - Scoring Methods
  30. 4.1. Simple Additive Weighting (SAW) Method
  31. 4.2. Weighted Product Method
  32. Chapter 5 - Topsis
  33. 5.1. Positive-Ideal and Negative-Ideal Solutions
  34. 5.2. Topsis
  35. Chapter 6 - Electre
  36. 6.1. Outranking Relationships
  37. 6.2. Preferred Alternatives
  38. 6.3. Electre
  39. 6.4. Complementary Analysis
  40. Chapter 7 - Methods for Qualitative Data
  41. 7.1. Median Ranking Method
  42. 7.2. AHP: Hierarchical SAW Method
  43. Chapter 8 - Extensions
  44. 8.1. Soft Data Implementation
  45. 8.2. Decision Support System for MADM
  46. 8.3. Choice and Validity of Methods
  47. References
  48. About the Authors