Skip to Main content Skip to Navigation
Conference papers

Defining and measuring risk and opportunity in BOCR framework for decision analysis

Abstract : Decision aid through analysis of benefit, opportunity, cost and risk (BOCR) offer the structural framework to get all necessary information to an effective decision making. It was investigated by researchers of differents fields (economics, engineering, management, ...) and many evaluation and recommendation methods have been published in the literature to help decision makers to make their choice. However, most of the existing methods do not focus on quantification and evaluation of uncertain parameters of decision problem representing risk and opportunity. To address these issues, we propose in this paper a new BOCR analysis framework including definition and a measure of risk and opportunity. The basic idea highlights the bipolarity nature of the attributes that characterize alternatives with regard to objectives. Indeed, we consider that alternatives are evaluated against several objectives by using many features of them known as attributes. Taking into account uncertainty of some components or relationships, this paper proposes explicit modeling of risk and opportunity in the BOCR framework. The evaluation and recommendation because of the bipolar nature are made using the Satisficing game theory.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01977490
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Thursday, January 10, 2019 - 5:46:48 PM
Last modification on : Thursday, February 7, 2019 - 3:32:30 PM
Long-term archiving on: : Thursday, April 11, 2019 - 6:44:26 PM

File

Bouzarour-Amokrane_8381.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01977490, version 1
  • OATAO : 8381

Collections

Citation

Yasmina Bouzarour-Amokrane, Ayeley Tchangani, François Pérès. Defining and measuring risk and opportunity in BOCR framework for decision analysis. 9e International Conference of Modeling and Simulation - MOSIM’12, Jun 2012, Bordeaux, France. pp.0. ⟨hal-01977490⟩

Share

Metrics

Record views

28

Files downloads

32