Robustness Analysis in Decision Aiding, Optimization, and Analytics...
Readzis program recommandation
Add to basket
£129,50
Download | LCP DRM 🛈 Adobe DRM 🛈
Streaming
Add to my wish list
Image Louise Reader présentation

Louise Reader

Read on Louise Reader App.

badge apple Application Louise Reader
badge Android Application Louise Reader
Get  £19.42  by recommending this book

This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies.

Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a “big-data'” era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.

About the book
Author
Michael  Doumpos , Evangelos  Grigoroudis , Constantin  Zopounidis
Imprint
Springer
Collection
International Series in Operations Research & Management Science
Publication date
2016-07-12
Pages
321 pages
Print ISBN
9783319331195
Language
English
Ebook informations
EAN PDF
9783319331218
Price
£129.50
Read more
Copy count 3
Print count 32
File size 6390 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9783319331218
Price
£129.50
Read more
Copy count 3
Print count 32
File size 3236 Ko
Ce livre est accessible aux handicaps   Informations accessibility
Compatibility

mobile-and-tablet To check the compatibility with your devices,
see help page

You may also be interested in...

Sign up to get our latest ebook recommendations and special offers


Paiements sécurisés

Copyright © Numilog 2025, All rights reserved