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Multiple Attribute Decision Making: An Introduction: Quantitative Applications in the Social Sciences, cartea 104

Autor K . Paul Yoon, Ching-Lai Hwang
en Limba Engleză Electronic book text – 4 apr 2013
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.
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Specificații

ISBN-13: 9781452213576
ISBN-10: 1452213577
Pagini: 83
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

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

Descriere

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.