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Multiple Attribute Decision Making: An Introduction (Quantitative Applications in the Social Sciences), by K . Paul Yoon, Ching-Lai Hwang
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This volume offers social scientists a concise overview of multiple attribute decision making (MADM) methods, their characteristics and applicability and methods for solving MADM problems. Real world examples are used to introduce the reader to normative models for optimal decisions.
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 systems; and the validity of methods. The advanced procedures of TOPSIS and ELECTRE are also presented.
- Sales Rank: #1191620 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 1995-01-17
- Original language: English
- Number of items: 1
- Dimensions: 8.50" h x .21" w x 5.50" l, .22 pounds
- Binding: Paperback
- 83 pages
- Used Book in Good Condition
About the Author
Dr Yoon received his Ph.D. degree from Kansas State University. He has taught courses on Quantitative Analysis, Operations Management, Quality Management, and Statistics. His research areas include Strategic Decision Analysis, Quality Management (Six Sigma), and Fuzzy Set Applications on Operations Management. Recently, he is working on user friendly translation of statistical principles. Dr Yoon has published 30+ scholarly journal publications and three books, including the prestigious Sage Quantitative Applications in Social Sciences Series #104: Multiple Attribute Decision Making. Dr Yoon spent one year as Visiting Research Associate Professor at Kansas State University. He has been a consultant to HTX International, HESI ,PSE&G and many more. He is a column writer for a daily Korean newspaper in NYC.
Most helpful customer reviews
12 of 12 people found the following review helpful.
A very useful summary of leading MADM methods.
By A Customer
Yoon and Hwang have prepared, within 69 pages, a fine summary of the current MADM methods complete with step-by-step sample calculations. They present several methods which encompass the major classes of MADM models. These include the Dominance method, Maximin, Maximax, Conjunctive method, Disjunctive method, Lexicographic method, Elimination by Aspect, Simple Additive Weighting, Weighted Product, TOPSIS, ELECTRE, Median Ranking Method, and AHP. If you need a quick guide to MADM, this is it
1 of 1 people found the following review helpful.
100% satisfied
By lam
Received on time. Excellent book for someone that needs a short guide or a summary to go through multi-criteria decision making without getting lost on background maths and relationships.
0 of 0 people found the following review helpful.
It gives a great start for the beginers who will work on multi-criteria ...
By Gerçek
It gives a great start for the beginers who will work on multi-criteria decision making subject on their MSc and Phd thesis
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