Download Robustness Analysis in Decision Aiding, Optimization, and by Michael Doumpos,Constantin Zopounidis,Evangelos Grigoroudis PDF

By Michael Doumpos,Constantin Zopounidis,Evangelos Grigoroudis

This ebook offers a extensive insurance of the new advances in robustness research in choice assisting, optimization, and analytics. It deals a complete representation of the demanding situations that robustness increases in several operations examine and administration technological know-how (OR/MS) contexts and the methodologies proposed from a number of views. other than protecting contemporary methodological advancements, this quantity additionally good points purposes of sturdy options in engineering and administration, therefore illustrating the robustness concerns raised in real-world difficulties and their solution inside of advances in OR/MS methodologies.
Robustness research seeks to deal with concerns via selling options, that are appropriate less than a large set of hypotheses, assumptions and estimates. In OR/MS, robustness has been commonly considered within the context of optimization less than uncertainty. a number of students, in spite of the fact that, have emphasised the a number of points of robustness research in a broader OR/MS viewpoint that is going past the conventional framework, looking to conceal the choice aid nature of OR/MS methodologies besides. As new demanding situations emerge in a “big-data'” period, the place the knowledge quantity, velocity of movement, and complexity bring up speedily, and analytics play a primary function for strategic and operational decision-making at a world point, robustness concerns equivalent to those lined during this ebook develop into extra correct than ever for offering sound choice help via extra strong analytic tools.

Show description

Read or Download Robustness Analysis in Decision Aiding, Optimization, and Analytics (International Series in Operations Research & Management Science) PDF

Best probability & statistics books

A Modern Approach to Regression with R (Springer Texts in Statistics)

This ebook makes a speciality of instruments and strategies for construction regression versions utilizing real-world info and assessing their validity. A key topic through the booklet is that it is sensible to base inferences or conclusions in basic terms on legitimate versions. Plots are proven to be a big device for either development regression versions and assessing their validity.

Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics

Proposal you couldn’t examine facts? you could – and you'll! Even you could examine information and Analytics, 3rd variation is the sensible, updated advent to stats – for everybody! Now absolutely up-to-date for "big information" analytics and the most recent functions, it will train you the entire statistical innovations you’ll want for finance, advertising, caliber, technological know-how, social technological know-how, and extra – one effortless step at a time.

Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)

During this ebook the authors describe the foundations and strategies at the back of probabilistic forecasting and Bayesian facts assimilation. rather than concentrating on specific program components, the authors undertake a normal dynamical structures process, with a large quantity of low-dimensional, discrete-time numerical examples designed to construct instinct concerning the topic.

Fundamentals of Advanced Mathematics 1: Categories, Algebraic Structures, Linear and Homological Algebra (New Mathematical Methods, Systems and Applications)

This summary, created from 3 volumes, of which this ebook is the 1st, exposes the mathematical components which make up the principles of a few modern medical equipment: smooth conception on platforms, physics and engineering. this primary quantity focuses totally on algebraic questions: different types and functors, teams, jewelry, modules and algebra.

Additional info for Robustness Analysis in Decision Aiding, Optimization, and Analytics (International Series in Operations Research & Management Science)

Sample text

Download PDF sample

Rated 4.27 of 5 – based on 23 votes