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100301s2009 gw | s |||| 0|eng d |
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|a 9783540880875
|9 978-3-540-88087-5
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|a 10.1007/978-3-540-88087-5
|2 doi
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|a TA329-348
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|a TA640-643
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|a MAT003000
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|a 519
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|a Dompere, Kofi Kissi.
|e author.
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|a Fuzziness and Approximate Reasoning
|b Epistemics on Uncertainty, Expectation and Risk in Rational Behavior /
|c by Kofi Kissi Dompere.
|h [electronic resource] :
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2009.
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|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Studies in Fuzziness and Soft Computing,
|v 237
|x 1434-9922 ;
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|a Fuzzy Rationality, Uncertainty and Expectations -- Fuzzy Rationality and Classical Sub-Rationality -- Fuzzy Rationality, Ambiguity and Risk in Decision-Choice Process -- Epistemics of Risk and Optimal Decision-Choice Rationality -- Reflections on Some Decision Theories of Uncertainty and Risk -- Fuzzy Decision-Choice Rationality and Paradoxes in Decision-Choice Theories.
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|a This monograph is special in its orientation and contribution to current state of our understanding of decision-choice process and knowledge production. Its special orientation is to bring to the scientific community the discussions on the epistemic structure of the relationships among uncertainty, expectations, risk, possibility, probability and how the rules of fuzzy paradigm and the methods of fuzzy rationality bring new and different understanding to the relationships. At the level of theory of knowledge, it presents the structure and epistemic analysis of uncertainty, expectations and risk in decision-choice actions through the characteristics of substitution-transformation and input-output processes in categorial dynamics of actual-potential duality. The interactive effects of rationality and expectation are examined around belief, prospect, time and conditions of belief justification where the relationship between possibility and probability as a sequential link between potential and actual is analyzed to provide some understanding of the role of relative costs and benefits in defining risk in both nature and society. The concepts of possibilistic and probabilistic beliefs are explicated in relation to rationality and the decision-choice process where the analytical relationship between uncertainty and expectation formation is presented leading to the introduction of two types of uncertainty composed of fuzzy uncertainty and stochastic uncertainty.
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|a Engineering.
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|a Logic.
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| 650 |
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|a Artificial intelligence.
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|a Engineering mathematics.
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|a Engineering.
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|a Appl.Mathematics/Computational Methods of Engineering.
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|a Artificial Intelligence (incl. Robotics).
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|a Logic.
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783540880868
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|v 237
|x 1434-9922 ;
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-88087-5
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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