Skip to main content

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 347))

  • 124 Accesses

Abstract

Is this framework computationally feasible? This chapter gives a positive answer describing some computational experience in the implementation of some of the previous ideas. First, we introduce SENSATO, a prototype library for a general purpose sensitivity analysis package for decision aids. This tool is used to analyse: a flood-management problem, based on a linear model; a portfolio selection problem, based on a bilinear model; a technology-purchasing problem, based on a general (tree) model; a road evaluation problem, based on a general model; and a linear problem, aimed at giving various counterexamples. For each of them, we present the problem and the corresponding model, the input to SENSATO, its output and a comment on the results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Insua, D.R. (1990). Computational experience. In: Sensitivity Analysis in Multi-objective Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51656-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-51656-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52692-6

  • Online ISBN: 978-3-642-51656-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics