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Dental decision‐making under general anesthesia for patients with disabilities: A qualitative study

Danielle McGeown, Caoimhin Mac Giolla Phadraig, Dale Whelehan, June H. Nunn
2021 Special Care in Dentistry: managing special patients, settings, and situations  
The second (Systematic, Analytical) and third (Intuition, and heuristics) themes explored features of clinical judgment as considered under dual process theory.  ...  The first theme explored Shared Decision Making, or lack thereof, as it influenced clinical reasoning.  ...  Low tolerance to uncertainty Treatment decisions were heavily influenced by dentists' efforts to minimize uncertainty when treating under GA: "if I was treating under local anesthetic I would be willing  ... 
doi:10.1111/scd.12631 pmid:34255384 fatcat:csn6kwq6jjg3lhwcy77o2ologi

Uncertainty and Uncertainty Tolerance in Service Provisioning

Johari Abdullah, Aad P. A. van Moorsel
2011 Journal of Internet Services and Information Security  
Secondly, we discuss our approach of providing a measure of tolerance towards uncertainty which involves the application of Bayesian and Decision Networks.  ...  Firstly, we discuss the problem of uncertainty within service provisioning offer and subsequently introduce the concept of uncertainty tolerance.  ...  We start with the definition of uncertainty and uncertainty tolerance from the service provisioning perspective, then leverage the concept of subjective probability and reasoning through Bayesian and Decision  ... 
doi:10.22667/jisis.2011.11.31.089 dblp:journals/jisis/AbdullahM11 fatcat:cuq5z4qxx5eqnnbu5qlhpzqqum

Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths [article]

Alex Kale, Matthew Kay, Jessica Hullman
2019 arXiv   pre-print
We identify opportunities to design systems which help researchers explore, reason about, and communicate uncertainty in decision-making about possible analyses in research synthesis.  ...  ' attention from rationales for decisions to impacts on results, and supporting communication techniques that acknowledge decision-makers' aversions to uncertainty.  ...  BACKGROUND Managing Uncertainty in Decision-Making A large body of research on judgment and decision-making (JDM) has examined how people reason with and make decisions under uncertainty.  ... 
arXiv:1901.02957v2 fatcat:s47yggo6ebgh5l3rfixpfpkhia

Decision-making Under Ordinal Preferences and Comparative Uncertainty [article]

Didier Dubois, Helene Fargier, Henri Prade
2013 arXiv   pre-print
However, contrary to classical approaches to decision theory, we try to do it without resorting to any numerical representation of utility nor uncertainty, and without even using any qualitative scale  ...  representation of uncertainty, but leads to the kind of uncertainty theory encountered in non-monotonic reasoning (especially preferential and rational inference), closely related to possibility theory  ...  a particular decision rule that tolerates a qualitative representation of uncertainty and preference we find a representation of uncertainty which is representable by a family of possibility measures,  ... 
arXiv:1302.1537v1 fatcat:kvpfkwqecjdklkjjzggfy64wnu

Preferences in AI: An overview

Carmel Domshlak, Eyke Hüllermeier, Souhila Kaci, Henri Prade
2011 Artificial Intelligence  
Last but not least, we gratefully acknowledge the continuous support of the AIJ Editors-in-Chief, Tony Cohn and Ray Perrault.  ...  Acknowledgements As Guest Editors of this special issue, we like to thank the authors for submitting many interesting papers and the numerous reviewers for guaranteeing the high quality of those papers  ...  Introduction Even if the purpose of reasoning is often to support decision making, only since the 1990s has decision theory had much impact on AI, initially in connection with planning under uncertainty  ... 
doi:10.1016/j.artint.2011.03.004 fatcat:gvag5wqw6reb7eauni7547bcye

Qualitative Bipolar Decision Frameworks Viewed as Pessimistic/Optimistic Utilities

Florence Dupin de Saint-Cyr, Romain Guillaume
2021 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
In this paper we focus on the link between the uncertain knowledge aggregation made by the BLF and classical aggregation functions used in decision under uncertainty and multi-criteria approaches.  ...  A BLF allows us to compare decisions under incomplete knowledge. For a given decision, the BLF returns a vector of utility/dis-utility in terms of achievement of positive/negative goals.  ...  Besides, when dealing with uncertainty, it is convenient to have both a compact and exception tolerant representation of information.  ... 
doi:10.1109/fuzz45933.2021.9494517 fatcat:d775yr56unhrtkjohshzequ77m

Analyzing a Bipolar Decision Structure Through Qualitative Decision Theory

Florence Dupin de Saint-Cyr, Romain Guillaume
2016 Künstliche Intelligenz  
In this paper we study the link between a bipolar decision structure called BLF (bipolar leveled framework) and the qualitative decision theory based on possibility theory.  ...  In order to show that this rich and visual framework is well founded we show how the notions defined in the BLF can be translated in terms of qualitative decision theory.  ...  Acknowledgements The authors express their sincere gratitude to Gabriele Kern-Isberner and also to anonymous referees for their very helpful comments and advices which led us to improve the paper.  ... 
doi:10.1007/s13218-016-0468-2 fatcat:be47cwvaungpxkmhe2m6xx7ffi

Review of Uncertainty Reasoning Approaches as Guidance for Maritime and Offshore Safety-Based Assessment

J. Liu, J.B. Yang, J. Wang, H.S. Sii
2002 The journal of the Safety and Reliability Society  
The study is intended to provide guidance in the process of developing frameworks for safety-based decision analysis using different methods for reasoning under uncertainty.  ...  ., Bayesian theory of probability, Dempster-Shafer theory of evidence, and fuzzy set theory, describe how they work and in what ways they differ from one another, and show their strength and weakness respectively  ...  Acknowledgements This work forms part of the projects supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under Grant References GR/R30624 and GR/R32413.  ... 
doi:10.1080/09617353.2002.11690751 fatcat:2dx7qpb2yng3vd3fzhq44dl7da

Reasoning and learning in probabilistic and possibilistic networks: An overview [chapter]

Jörg Gebhardt, Rudolf Kruse
1995 Lecture Notes in Computer Science  
Graphical modelling is a powerful framework for reasoning under uncertainty.  ...  We give an overview on the semantical background and relevant properties of probabilistic and possibflistic networks, respectively, and consider knowledge representation and independence as well as evidence  ...  Under the aspect of efficiency, such uncertainty calculi should provide a justified form of information compression and simplification in order to support reasoning under uncertainty and imprecision without  ... 
doi:10.1007/3-540-59286-5_45 fatcat:oaliua7gajdrbplqdfl3vowmie

Possibility Theory and Its Applications: Where Do We Stand? [chapter]

Didier Dubois, Henry Prade
2015 Springer Handbook of Computational Intelligence  
Qualitative possibility theory is closely related to belief revision theory, and common-sense reasoning with exception-tainted knowledge in Artificial Intelligence.  ...  Qualitative possibility theory has been axiomatically justified in a decision-theoretic framework in the style of Savage, thus providing a foundation for qualitative decision theory.  ...  [103] for the resolution of decision problems under uncertainty using the above criterion, and cast in the possibilistic logic framework.  ... 
doi:10.1007/978-3-662-43505-2_3 fatcat:qptvfae6hndopkvagiwlsnxaxu

Layers of Protection Analysis Using Possibility Theory

Nouara Ouazraoui, Rachid Nait-Said, Mouloud Bourareche, Ilyes Sellami
2012 International Journal of Intelligent Systems and Applications  
The fu zzy outcome is co mpared to a scenario risk tolerance criteria and the required reduction is obtained by resolving a possibilistic decision-making problem under necessity constraint.  ...  In this paper, uncertainty encountered in Layers Of Protection Analysis (LOPA) is considered in the framework of possibility theory.  ...  Acknowledgment This work is a part of a research project supported by the Ministry of Higher Education and Scientific Research in Algeria under no J0201320110036.  ... 
doi:10.5815/ijisa.2013.01.02 fatcat:5fdym2tr5nderhz6rzhn3f2ria

Qualitative decision theory: from savage's axioms to nonmonotonic reasoning

Didier Dubois, Hélène Fargier, Henri Prade, Patrice Perny
2002 Journal of the ACM  
Contrary to classical approaches to decision theory, we try to rank acts without resorting to any numerical representation of utility nor uncertainty, and without using any scale on which both uncertainty  ...  It is shown that the assumption of ordinal invariance enforces a qualitative decision procedure that presupposes a comparative possibility representation of uncertainty, originally due to Lewis, and usual  ...  -Ordinal invariance enforces qualitative possibility theory.  ... 
doi:10.1145/581771.581772 fatcat:co3lytba2vaw7jptfjdyxtmami

An Integrated Approach to Risk Assessment for Special Line Shunting Via Fuzzy Theory

Huafeng Zhang, Quanxin Sun
2018 Symmetry  
can evaluate both qualitative and quantitative risk data efficiently and effectively.  ...  This paper presents an integrated approach for conducting special-line shunting risk assessment, using fishbone diagram analysis, fuzzy reasoning approaches, and a fuzzy analytical hierarchy tool, which  ...  highways, oil and gas, and the nuclear industry, among others.  ... 
doi:10.3390/sym10110599 fatcat:qpmdmkzztnb5lpzoaotujek76u

Reasoning About Confidence and Uncertainty in Assurance Cases: A Survey [chapter]

Lian Duan, Sanjai Rayadurgam, Mats P. E. Heimdahl, Anaheed Ayoub, Oleg Sokolsky, Insup Lee
2017 Lecture Notes in Computer Science  
We analyze existing literature to identify the type of uncertainty addressed and distinguish between qualitative and quantitative approaches for dealing with uncertainty.  ...  It can be broadly classified into two types, aleatory (statistical) and epistemic (systematic). This paper surveys how researchers have reasoned about uncertainty in assurance cases.  ...  As such, while it is possible to use a quantitative analysis and then map it onto a qualitative scale, one could reasonably use logical argumentation to show that the goal has been achieved without the  ... 
doi:10.1007/978-3-319-63194-3_5 fatcat:qq4hh6r4fngdvjtrmoja4le7um

Understanding the Impact of Subjective Uncertainty on Architecture and Supplier Identification in Early Complex Systems Design

Yun Ye, Marija Jankovic, Gül E. Kremer
2015 ASCE-ASME J of Risk & Uncertainty in Engineering SystemsPart B: Mechanical Engineering  
A powertrain design case is used to compare results between considering subjective uncertainties and not considering them.  ...  of possible modelling approaches has been discussed; and type-1 fuzzy sets and 2tuple fuzzy linguistic representation are selected to integrate subjective uncertainties into ASIT.  ...  decision maker's tolerance about the result.  ... 
doi:10.1115/1.4030463 fatcat:a3z67uxsebbujmqwthvz5gfij4
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