Building a binary outranking relation in uncertain, imprecise and multi-experts contexts: the application of evidence theory

DOI10.1016/J.IJAR.2009.06.001zbMath1186.91059OpenAlexW2022974969MaRDI QIDQ962938

Ahmed Frikha, Habib Chabchoub, Mohamed Ayman Boujelben, Yves De Smet

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2009.06.001

zbMATH Keywords

evidence theorymulticriteria decision aidmulti-experts contextELECTRE Ifirst belief dominance

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50)

Related Items (9)

Modeling uncertainty in multi-criteria decision analysis ⋮ Toward credible belief base revision ⋮ Belief linear programming ⋮ Can belief structures improve our understanding of safety climate survey data? ⋮ A ranking model in uncertain, imprecise and multi-experts contexts: the application of evidence theory ⋮ Building a binary outranking relation in uncertain, imprecise and multi-experts contexts: the application of evidence theory ⋮ Outranking under uncertainty using scenarios ⋮ Measuring consensus in group decisions by means of qualitative reasoning ⋮ A choice model with imprecise ordinal evaluations

Uses Software

• ELECTRE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Perspectives on the theory and practice of belief functions
• Multiple criteria aggregation procedure for mixed evaluations
• Building a binary outranking relation in uncertain, imprecise and multi-experts contexts: the application of evidence theory
• Extending stochastic ordering to belief functions on the real line
• Stochastic dominance tests for ranking alternatives under ambiguity
• The transferable belief model
• DS/AHP method: A mathematical analysis, including an understanding of uncertainty
• Decision making in the TBM: the necessity of the pignistic transformation
• Stochastic dominance in multicriterion analysis under risk
• Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities
• Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence
• Attribute reduction based on evidence theory in incomplete decision systems
• Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities
• Research Bibliography—Stochastic Dominance: A Research Bibliography
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• The Efficiency Analysis of Choices Involving Risk

This page was built for publication: Building a binary outranking relation in uncertain, imprecise and multi-experts contexts: the application of evidence theory