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Multiple Criteria Decision Making and Risk Analysis Using Microcomputers

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Cover of 'Multiple Criteria Decision Making and Risk Analysis Using Microcomputers'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Multiple Criteria Mathematical Programming: An Updated Overview and Several Approaches
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    Chapter 3 The Effects of Risk on Decision Making
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    Chapter 4 Rational Choice and the Framing of Decisions
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    Chapter 5 Habitual Domain Analysis for Effective Decision Making
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    Chapter 6 Goal Setting and Compromise Solutions
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    Chapter 7 The TRIMAP PACKAGE as a Powerful Teaching Tool
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    Chapter 8 The Tchebycheff Procedure of Interactive Multiple Objective Programming
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    Chapter 9 V I G — A Visual and Dynamic Decision Support System for Multiple Objective Linear Programming
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    Chapter 10 A Variation of The Methods of Zionts and Wallenius
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    Chapter 11 Prioritization Techniques Based on Stochastic Paired Comparisons
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    Chapter 12 On Capacity Planning of Diagnosis Systems in Hospitals
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    Chapter 13 Multiple Criteria Decision Support Systems in Production Planning: A Micro Experience
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    Chapter 14 Conflicting Objectives in Software System Design
Attention for Chapter 8: The Tchebycheff Procedure of Interactive Multiple Objective Programming
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Citations

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Chapter title
The Tchebycheff Procedure of Interactive Multiple Objective Programming
Chapter number 8
Book title
Multiple Criteria Decision Making and Risk Analysis Using Microcomputers
Published by
Springer, Berlin, Heidelberg, January 1989
DOI 10.1007/978-3-642-74919-3_8
Book ISBNs
978-3-64-274921-6, 978-3-64-274919-3
Authors

Ralph E. Steuer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Mathematics 2 33%
Business, Management and Accounting 1 17%
Computer Science 1 17%
Unknown 2 33%

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