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2017 | Book

Introduction Read chapter Read first chapter

Multicriteria and Clustering

Classification Techniques in Agrifood and Environment

Authors: Zacharoula Andreopoulou, Christiana Koliouska, Constantin Zopounidis

Publisher: Springer International Publishing

Book Series : Cooperative Management

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

This book provides an introduction to operational research methods and their application in the agrifood and environmental sectors. It explains the need for multicriteria decision analysis and teaches users how to use recent advances in multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for statistical analysis and mathematical modeling, and discusses in detail ten examples that explain and show “hands-on” how operational research can be used in key decision-making processes at enterprises in the agricultural food and environmental industries. As such, the book offers a valuable resource especially well suited as a textbook for postgraduate courses.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Operations research consists an interdisciplinary field concerning the application of advanced analytical methods to help and improve the decision-making process. More specifically, operations research intermixes theories and methodologies from mathematics, management science, computer science, operations management, decision support and many more.
Zacharoula Andreopoulou, Christiana Koliouska, Constantin Zopounidis
Chapter 2. Methodologies
Abstract
In this section, we will develop three methodologies: the PROMETHEE II ranking method, the Hierarchical Cluster Analysis and the K-means analysis.
Zacharoula Andreopoulou, Christiana Koliouska, Constantin Zopounidis
Chapter 3. Applications in Various Agricultural, Food and Environmental Issues
Abstract
In this section, we will apply four methodologies to data regarding agricultural, food and environmental issues. More specifically, we will use the following methods: the PROMETHEE II ranking method, the Hierarchical Cluster Analysis, the K-means analysis and the combination of PROMETHEE II method and a cluster generation method.
Zacharoula Andreopoulou, Christiana Koliouska, Constantin Zopounidis
Metadata
Title
Multicriteria and Clustering
Authors
Zacharoula Andreopoulou
Christiana Koliouska
Constantin Zopounidis
Copyright Year
2017
Electronic ISBN
978-3-319-55565-2
Print ISBN
978-3-319-55564-5
DOI
https://doi.org/10.1007/978-3-319-55565-2