Scientific Data Ranking Methods: Theory and Applications

by Manuela Pavan (Editor), Roberto Todeschini (Editor)

Overview

This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR.

Product Details

ISBN-13:	9780444530202
Publisher:	Elsevier Science
Publication date:	12/08/2008
Series:	Data Handling in Science and Technology , #27
Pages:	224
Product dimensions:	6.60(w) x 9.40(h) x 0.60(d)

Table of Contents

Preface by Manuela Pavan and Roberto Todeschini

Chapter 1
Introduction to Ranking Methods by L.A. Sarabia, M.S. Sánchez and M.C. Ortiz

Chapter 2
Total Order Ranking Methods by M. Pavan and R. Todeschini

Chapter 3
Partial Ordering and Hasse Diagrams: Applications in Chemistry and Software by Rainer Brüggemann, Kristina Voigt and Stefan Pudenz

Chapter 4
Partial Ordering and Prioritizing Polluted Sites by Lars Carlsen

Chapter 5
Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applications by A. Mauri and D. Dallabio

Chapter 6
The Interplay between Partial Ranking and Quantitative Structure-Activity Relationships by Lars Carlsen

Chapter 7
Semi-Subordination Sequences in Multi-Measure Priorization Problems by W.L. Myers adn G.P. Patil

Chapter 8
Multi-Criteria Decision Making (MCDM) Methods: A Tool for Assessing River Ecosystem Health using Functional Macroinvertebrate Traits by Sergio Canobbio, Valeria Mezzanotte, Davide Ballabio and Manuela Pavan

Chapter 9
The DART (Decision Analysis by Ranking Techniques) Software by A. Manganaro, D. Ballabio, V. Consonni, A. Mauri, M. Pavan and R. Todeschini