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Multiple Attribute Decision Making
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Multiple Attribute Decision Making
An Introduction

Volume: 104
83 pages | SAGE Publications, Inc
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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.

 
Introduction
 
Attribute Generation, Data and Weight
 
Noncompensatory Methods
 
Scoring Methods
 
TOPSIS
 
ELECTRE
 
Methods for Qualitative Data
 
Extensions

K . Paul Yoon

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. ... More About Author

Ching-Lai Hwang

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