Probability-based Decision Making
Probability-Based Decision Making is a decision-making framework within stochastic multi-criteria decision analysis that characterizes uncertainty through probabilistic models to quantify and evaluate criteria outcomes, thereby enabling choices that optimize expected utility under randomness.
386
Publications
37.9K
Citations
933
Authors
471
Institutions
Publications per year
2017–2026
120
386
Applied Statistics and Probability for Engineers
Eric R. Ziegel · Technometrics · 2002 · 1.6K citations
Three-way decisions with probabilistic rough sets
Yiyu Yao · Information Sciences · 2009 · 1.6K citations
Making Hard Decisions, an Introduction to Decision Analysis
Shin Ta Liu, Robert T. Clemen · Technometrics · 1992 · 1.5K citations
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471

Sichuan University
Chengdu, China
11 h-index
27 publications
2.3K citations
Shandong University of Finance and Economics
Jinan, China
8 h-index
12 publications
642 citations

Central South University
Changsha, China
7 h-index
16 publications
768 citations
Universitat de Barcelona
Barcelona, Spain
7 h-index
7 publications
450 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
401 citations

Imperial College London
London, United Kingdom
6 h-index
8 publications
338 citations

University of Turku
Turku, Finland
6 h-index
9 publications
1.1K citations

University of Manchester
Manchester, United Kingdom
5 h-index
5 publications
158 citations
1–8 of 471
12 publications · 8.8K citations
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13 publications · 788 citations
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OR · 11 publications · 571 citations
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11 publications · 499 citations
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10 publications · 2.8K citations
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