Scientific data ranking methods: theory and applications

Scientific data ranking methods: theory and applications

Pavan, Manuela

150,20 €(IVA inc.)

INDICE: Preface by Manuela Pavan and Roberto Todeschini. Chapter 1 Introduction to Ranking Methods by L.A. Sarabia, M.S. Sánchez and M.C. Ortiz. Chapter2 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 andPrioritizing Polluted Sites by Lars Carlsen. Chapter 5 Similarity/Diversity Measure for Sequentia Data based on Hasse Matrices : Theory and Applications byA. Mauri and D. Dallabio. Chapter 6 The Interplay between Partial Ranking andQuantitative 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.

  • ISBN: 978-0-444-53020-2
  • Editorial: Elsevier Science
  • Encuadernacion: Cartoné
  • Páginas: 224
  • Fecha Publicación: 31/12/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés