Picture of smart phone

Open Access research that is better understanding human-computer interaction...

Strathprints makes available scholarly Open Access content by researchers in the Department of Computer & Information Sciences, including those researching information retrieval, information behaviour, user behaviour and ubiquitous computing.

The Department of Computer & Information Sciences hosts The Mobiquitous Lab, which investigates user behaviour on mobile devices and emerging ubiquitous computing paradigms. The Strathclyde iSchool Research Group specialises in understanding how people search for information and explores interactive search tools that support their information seeking and retrieval tasks, this also includes research into information behaviour and engagement.

Explore the Open Access research of The Mobiquitous Lab and the iSchool, or theDepartment of Computer & Information Sciences more generally. Or explore all of Strathclyde's Open Access research...

Strathprints

PROBE- a multicriteria decision support system for portfolio robustness evaluation

Lourenço, João Carlos and Morton, Alec and Bana e Costa, Carlos A (2012) PROBE- a multicriteria decision support system for portfolio robustness evaluation. Decision Support Systems, 54 (1). 534–550.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

This paper addresses the problem of selecting a robust portfolio of projects in the context of limited resources, multiple criteria, different project interactions and several types of uncertainty. A portfolio of projects is considered an undoubtedly robust choice if for a given uncertainty domain that affects the costs and/or the benefits of the projects there is no other portfolio that does not cost more and simultaneously may provide more overall benefit. We present a new decision support system, PROBE (Portfolio Robustness Evaluation), and the algorithms it implements. PROBE identifies all efficient portfolios and depicts the respective Pareto frontier within a given portfolio cost range, and permits users to analyze, in depth, the robustness of selecting a proposed portfolio. The robustness evaluation starts by identifying competitor portfolios to the proposed portfolio, its similarities and differences in project composition to its competitors, and the regret a decision-maker may have by selecting the proposed portfolio instead of a competitor.

Item type: Article
ID code: 45433
Keywords: restricted efficiency, DSS, portfolio decision analysis, resource allocation, portfolio robustness, PROBE, multicriteria decision support system, Management. Industrial Management, Strategy and Management
Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
Department: Strathclyde Business School > Management Science
Depositing user: Pure Administrator
Date deposited: 28 Oct 2013 14:28
Last modified: 16 Nov 2018 03:22
URI: https://strathprints.strath.ac.uk/id/eprint/45433
Export data:
CORE (COnnecting REpositories)