Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions - Studies in Fuzziness and Soft Computing 293 (Paperback)
  • Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions - Studies in Fuzziness and Soft Computing 293 (Paperback)
zoom

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions - Studies in Fuzziness and Soft Computing 293 (Paperback)

(author)
£109.99
Paperback 324 Pages / Published: 08/02/2015
  • Not available

This product is currently unavailable.

  • This item has been added to your basket

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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642443435
Number of pages: 324
Weight: 5153 g
Dimensions: 235 x 155 x 18 mm
Edition: 2013 ed.

You may also be interested in...

The Quest for Artificial Intelligence
Added to basket
Machine Learning
Added to basket
Probabilistic Graphical Models
Added to basket
Programming Game AI By Example
Added to basket
The Elements of Statistical Learning
Added to basket
Machine Learning
Added to basket
£42.50
Paperback
Dark Pools
Added to basket
£9.99
Paperback
Machine Learning for Hackers
Added to basket
Reinforcement Learning
Added to basket
Machine Learning
Added to basket
£39.99
Paperback
Machine Learning
Added to basket
£52.99
Mixed media product
Introducing Artificial Intelligence
Added to basket
Essentials of Game Theory
Added to basket
Emotion: A Very Short Introduction
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.