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This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char­ acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans­ formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.

Inhaltsverzeichnis

Frontmatter

I. Introduction

Abstract
Multiple criteria decision making (MCDM) refers to making decisions in the presence of multiple, usually conflicting, criteria. Problems for multiple criteria decision making are common occurrences in everyday life. For example:
In a personal context, the job one chooses may depend upon its prestige, location, salary, advancement opportunities, working conditions, and so on. The car one buys may be characterized in terms of price, gas mileage, style, safety, comfort, etc. A young man/woman may choose a wife/husband based on her/his intelligence, looks, character, etc.
Ching-Lai Hwang, Kwangsun Yoon

II. Basic Concepts and Foundations

Abstract
The four words most used in MCDM literature are: attributes, objectives, goals and criteria. There are no universal definitions of these terms [BM-13]. Some authors make distinctions in their usage while many use them interchangeably. We will make some distinctions among these words in terms of their usage.
Ching-Lai Hwang, Kwangsun Yoon

III. Methods for Multiple Attribute Decision Making

Abstract
There are some classical decision rules such as dominance, maximin and maximum which are still fit for the MADM environment. They do not require the DM’s preference information, and accordingly yield the objective (vs. subjective) solution. However, the right selection of these methods for the right situation is important. (See Table 1.3 for references).
Ching-Lai Hwang, Kwangsun Yoon

IV. Applications

Abstract
The drive to have practical models for management systems has been the impetus towards the development of many excellent methods for MADM methods presented in the preceding sections. However, few methods have yet been tested with real-world problems.
Ching-Lai Hwang, Kwangsun Yoon

V. Concluding Remarks

Abstract
This survey of MADM methods and applications is a sequel to our previous survey of MODM methods and applications [BM-11], It is a guided tour through the literature on the subject. It provides readers with a capsule look into the existing methods, their characteristics, and their applicability to analysis of MADM problems.
Ching-Lai Hwang, Kwangsun Yoon

VI. Bibliography

Without Abstract
Ching-Lai Hwang, Kwangsun Yoon

Backmatter

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