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Studies in Fuzziness and Soft Computing #293: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions

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Studies in Fuzziness and Soft Computing #293: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This book presents 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.

Table of Contents

Fuzzy Sets and Fuzzy Logic.- Brief Review of Theories of Decision Making.- Uncertain Preferences and Imperfect information in Decision Making.- A Generalized Fuzzy Logic-Based Decision theory.- Extention to Behavioral Decision Making.- Decision Making on the Basis of Fuzzy Geometry.- Fuzzy Logic Based Generalized Theory of Stability.- Experiments and Applications.

Product Details

ISBN:
9783642348945
Author:
Aliev, Rafik
Publisher:
Springer
Author:
Aliev, Rafik Aziz
Subject:
Artificial Intelligence
Subject:
Behavioral Decision Making
Subject:
Decision-making
Subject:
Decision problem
Subject:
Fuzzy logic
Subject:
Imperfect Information
Subject:
Theory of Decisions
Subject:
Uncertain Preferences
Subject:
Computational intelligence
Subject:
Game Theory/Mathematical Methods
Subject:
Game Theory, Economics, Social and Behav. Sciences
Subject:
Computers-Reference - General
Copyright:
Edition Description:
2012
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
293
Publication Date:
20130121
Binding:
HARDCOVER
Language:
English
Pages:
332
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
History and Social Science » Economics » General
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » Modeling
Science and Mathematics » Physics » General

Studies in Fuzziness and Soft Computing #293: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions New Hardcover
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Product details 332 pages Springer - English 9783642348945 Reviews:
"Synopsis" by , This book presents 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.
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