Uncertain Computation Based Decision Theory

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Uncertain Computation-based Decision Theory

Aliev Rafig Aziz
Uncertain Computation based Decision Theory Book PDF

Author : Aliev Rafig Aziz
Publisher : World Scientific
Page : 540 pages
File Size : 46,9 Mb
Release : 2017-12-06
Category : Mathematics
ISBN : 9789813228955

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Uncertain Computation-based Decision Theory by Aliev Rafig Aziz Pdf

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives. The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis. Contents: Decision EnvironmentAnalysis of the Existing Decision TheoriesInterval ComputationProbabilistic ArithmeticFuzzy Type-1 and Fuzzy Type-2 ComputationsComputation with Z-NumbersComputation with U-NumbersFuzzy Geometry Based ComputationsInterval Granular-Based Decision MakingDecision Making in Fuzzy EnvironmentThe Z-Restriction Centered Decision TheorySimulation and Applications Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and mathematical economics. Keywords: Uncertain Computation;Decision Making;Interval Arithmetic;Fuzzy Arithmetic;Z-Number;Combined State;Fuzzy EconomicsReview:0

Uncertain Computation-based Decision Theory

R. A. Aliev
Uncertain Computation based Decision Theory Book PDF

Author : R. A. Aliev
Publisher : Unknown
Page : 500 pages
File Size : 44,8 Mb
Release : 2017
Category : Uncertainty
ISBN : 9813228938

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Uncertain Computation-based Decision Theory by R. A. Aliev Pdf

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. --

Uncertain Computation-based Decision Theory

Rafik Aziz ogly Aliev
Uncertain Computation based Decision Theory Book PDF

Author : Rafik Aziz ogly Aliev
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2017
Category : MATHEMATICS
ISBN : 9813228946

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Uncertain Computation-based Decision Theory by Rafik Aziz ogly Aliev Pdf

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. --

Decision Making Under Uncertainty

Mykel J. Kochenderfer
Decision Making Under Uncertainty Book PDF

Author : Mykel J. Kochenderfer
Publisher : MIT Press
Page : 350 pages
File Size : 55,6 Mb
Release : 2015-07-24
Category : Computers
ISBN : 9780262331715

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Decision Making Under Uncertainty by Mykel J. Kochenderfer Pdf

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Info-Gap Decision Theory

Yakov Ben-Haim
Info Gap Decision Theory Book PDF

Author : Yakov Ben-Haim
Publisher : Elsevier
Page : 384 pages
File Size : 43,5 Mb
Release : 2006-10-11
Category : Computers
ISBN : 9780080465708

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Info-Gap Decision Theory by Yakov Ben-Haim Pdf

Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models. New theory developed systematically Many examples from diverse disciplines Realistic representation of severe uncertainty Multi-faceted approach to risk Quantitative model-based decision theory

Theory of Decision Under Uncertainty

Itzhak Gilboa
Theory of Decision Under Uncertainty Book PDF

Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 216 pages
File Size : 52,6 Mb
Release : 2009-03-16
Category : Business & Economics
ISBN : 9780521517324

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Theory of Decision Under Uncertainty by Itzhak Gilboa Pdf

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions

Rafik Aziz Aliev
Fundamentals of the Fuzzy Logic Based Generalized Theory of Decisions Book PDF

Author : Rafik Aziz Aliev
Publisher : Springer
Page : 324 pages
File Size : 50,5 Mb
Release : 2013-01-12
Category : Computers
ISBN : 3642348963

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Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions by Rafik Aziz Aliev Pdf

Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes’s analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere.

15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022

R. A. Aliev,J. Kacprzyk,W. Pedrycz,Mo. Jamshidi,M. B. Babanli,F. Sadikoglu
15th International Conference on Applications of Fuzzy Systems Soft Computing and Artificial Intelligence Tools ICAFS 2022 Book PDF

Author : R. A. Aliev,J. Kacprzyk,W. Pedrycz,Mo. Jamshidi,M. B. Babanli,F. Sadikoglu
Publisher : Springer Nature
Page : 777 pages
File Size : 42,5 Mb
Release : 2023-02-28
Category : Technology & Engineering
ISBN : 9783031252525

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15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 by R. A. Aliev,J. Kacprzyk,W. Pedrycz,Mo. Jamshidi,M. B. Babanli,F. Sadikoglu Pdf

The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of Soft Computing, Neuro-Fuzzy Technology, Intelligent Control, Deep Learning-Machine Learning, Fuzzy Logic in Data Analytics, Evolutionary Computing, Fuzzy logic and Artificial Intelligence in Engineering, Social Sciences, Business, Economics, Material Sciences, and others.This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2022, held in Budva, Montenegro, on August 26-27, 2022. This is a useful guide for academics, practitioners, and graduates in fields of fuzzy logic and soft computing. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

Uncertain Decisions

Luigi Luini
Uncertain Decisions Book PDF

Author : Luigi Luini
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461550839

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Uncertain Decisions by Luigi Luini Pdf

Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory. This work also provides theoretical insights on measures of risk aversion and on new problems for general equilibrium analysis. It analyzes how the thinking that underlies the theories described above spills over into real decisions, and how the thinking that underlies these real decisions can explain the discrepancies between theoretical approaches and actual behavior. This work elaborates on how the most recent laboratory experiments have become an important source both for evaluating the leading theory of choice and decision, and for contributing to the formation of new models regarding the subject.

Decision Theory

Giovanni Parmigiani,Lurdes Inoue
Decision Theory Book PDF

Author : Giovanni Parmigiani,Lurdes Inoue
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 47,6 Mb
Release : 2009-04-15
Category : Mathematics
ISBN : 9780470746677

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Decision Theory by Giovanni Parmigiani,Lurdes Inoue Pdf

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: Provides a rich collection of techniques and procedures. Discusses the foundational aspects and modern day practice. Links foundations to practical applications in biostatistics, computer science, engineering and economics. Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Joe Lorkowski,Vladik Kreinovich
Bounded Rationality in Decision Making Under Uncertainty Towards Optimal Granularity Book PDF

Author : Joe Lorkowski,Vladik Kreinovich
Publisher : Springer
Page : 164 pages
File Size : 50,5 Mb
Release : 2017-07-01
Category : Technology & Engineering
ISBN : 9783319622149

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Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity by Joe Lorkowski,Vladik Kreinovich Pdf

This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.

A Theory of Case-Based Decisions

Itzhak Gilboa,David Schmeidler
A Theory of Case Based Decisions Book PDF

Author : Itzhak Gilboa,David Schmeidler
Publisher : Cambridge University Press
Page : 214 pages
File Size : 45,8 Mb
Release : 2001-07-26
Category : Business & Economics
ISBN : 0521003113

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A Theory of Case-Based Decisions by Itzhak Gilboa,David Schmeidler Pdf

This work, a paradigm for modelling decision-making under uncertainty, describes the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning; and highlights its mathematical and philosophical foundations.

13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018

Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo. Jamshidi,Fahreddin M. Sadikoglu
13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing ICAFS 2018 Book PDF

Author : Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo. Jamshidi,Fahreddin M. Sadikoglu
Publisher : Springer
Page : 970 pages
File Size : 41,8 Mb
Release : 2018-12-28
Category : Technology & Engineering
ISBN : 9783030041649

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13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 by Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo. Jamshidi,Fahreddin M. Sadikoglu Pdf

This book presents the proceedings of the 13th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2018), held in Warsaw, Poland on August 27–28, 2018. It includes contributions from diverse areas of soft computing such as uncertain computation, Z-information processing, neuro-fuzzy approaches, evolutionary computing and others. The topics of the papers include theory of uncertainty computation; theory and application of soft computing; decision theory with imperfect information; neuro-fuzzy technology; image processing with soft computing; intelligent control; machine learning; fuzzy logic in data analytics and data mining; evolutionary computing; chaotic systems; soft computing in business, economics and finance; fuzzy logic and soft computing in the earth sciences; fuzzy logic and soft computing in engineering; soft computing in medicine, biomedical engineering and the pharmaceutical sciences; and probabilistic and statistical reasoning in the social and educational sciences. The book covers new ideas from theoretical and practical perspectives in economics, business, industry, education, medicine, the earth sciences and other fields. In addition to promoting the development and application of soft computing methods in various real-life fields, it offers a useful guide for academics, practitioners, and graduates in fuzzy logic and soft computing fields.

10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa B. Babanli,Fahreddin M. Sadikoglu
10th International Conference on Theory and Application of Soft Computing Computing with Words and Perceptions ICSCCW 2019 Book PDF

Author : Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa B. Babanli,Fahreddin M. Sadikoglu
Publisher : Springer Nature
Page : 997 pages
File Size : 50,5 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030352493

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 by Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa B. Babanli,Fahreddin M. Sadikoglu Pdf

This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020

Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu
14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing ICAFS 2020 Book PDF

Author : Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu
Publisher : Springer Nature
Page : 850 pages
File Size : 50,5 Mb
Release : 2021-01-04
Category : Technology & Engineering
ISBN : 9783030640583

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14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 by Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu Pdf

This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2020, held in Budva, Montenegro, on August 27–28, 2020. It includes contributions from diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning–machine learning, fuzzy logic in data analytics, evolutionary computing, fuzzy logic and artificial intelligence in engineering, social sciences, business, economics, material sciences and others.