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Mathematical Models for Decision Support

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Cover of 'Mathematical Models for Decision Support'

Table of Contents

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    Book Overview
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    Chapter 1 Abstracts
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    Chapter 2 Models for Decision Making: an Overview of Problems, Tools and Major Issues
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    Chapter 3 Numerical Scaling of Human Judgement in Pairwise-Comparison Methods for Fuzzy Multi-Criteria Decision Analysis
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    Chapter 4 Some Mathematical Topics in the Analytic Hierarchy Process
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    Chapter 5 What is the Analytic Hierarchy Process?
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    Chapter 6 An Interactive Dss for Multiobjective Investment Planning
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    Chapter 7 Multiple Criteria Mathematical Programming: an Updated Overview and Several Approaches
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    Chapter 8 Language Requirements for a Priori Error Checking and Model Reduction in Large-Scale Programming
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    Chapter 9 A Note on the Reformulation of LP Models
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    Chapter 10 Interfaces Between Modeling Systems and Solution Algorithms
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    Chapter 11 Mathematical Programming Solutions for Fishery Management
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    Chapter 12 A General Network Generator
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    Chapter 13 A Case Study in the use of Mathematical Models for Decision Support in Production Planning
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    Chapter 14 ANALYZE Rulebase
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    Chapter 15 Interfacing Optimizers with Planning Languages and Process Simulators
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    Chapter 16 A Multicriteria Decision Problem Within the Simplex Algorithm
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    Chapter 17 Interactive Distribution Planning
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    Chapter 18 Mathematical Programming on Microcomputers: Directions in Performance and User Interface
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    Chapter 19 Aggregation Models in Mathematical Programming
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    Chapter 20 Interactive Decision Support for Semi-Structured Mathematical Programming Problems
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    Chapter 21 Relational Data Management and Modeling Systems: a Tutorial
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    Chapter 22 Model Management Systems for Operations Research: A Prospectus
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    Chapter 23 Structured Model Management
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    Chapter 24 Choice Theory and Data Base
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    Chapter 25 A Financial Expert Decision Support System
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    Chapter 26 A Knowledge-Based System for Production Control of Flexible Manufacturing Systems
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    Chapter 27 A Knowledgebase for Formulating Linear Programs
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    Chapter 28 A Knowledge-Based System for Integrated Solving Cutting Stock Problems and Production Control in the Paper Industry
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    Chapter 29 Expert Systems: The State of the Art
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    Chapter 30 Automated Support for Formulating Linear Programs
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    Chapter 31 The Environment Approach to Decision Support
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    Chapter 32 Expert Systems’ Front End: Expert Opinion
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    Chapter 33 Fuzzy Set Theoretic Approaches to Natural Language in Decision Support Systems
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    Chapter 34 Stochastic Programming Models For Dedicated Portfolio Selection
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    Chapter 35 Probabilistic and Non-Probabilistic Representation of Unctertainties in Expert Systems
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    Chapter 36 Summary of a Panel Discussion on Representation of Uncertainty and Imprecision in Decision Support Systems
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    Chapter 37 Validation of Decision Support Systems
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    Chapter 38 Panel Discussion on DSS Validation
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    Chapter 39 DSS Conceptualizers in O.R.: Should you apply AI?
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    Chapter 40 Fundamentals of Structured Modeling
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    Chapter 41 Mathematical Basis for Decision Support Systems
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    Chapter 42 Fuzzy Set Theory — and Inference Mechanism
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Title
Mathematical Models for Decision Support
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-83555-1
ISBNs
978-3-64-283557-5, 978-3-64-283555-1
Editors

Mitra, Gautam, Greenberg, Harvey J., Lootsma, Freerk A., Rijkaert, Marcel J., Zimmermann, Hans J.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Brazil 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 38%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Student > Bachelor 2 10%
Researcher 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Engineering 9 43%
Computer Science 3 14%
Agricultural and Biological Sciences 2 10%
Mathematics 2 10%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 3 14%