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Fuzziness and Approximate Reasoning

Epistemics on Uncertainty, Expectation and Risk in Rational Behavior

  • Book
  • © 2009

Overview

Authors:
  1. Kofi Kissi Dompere

    1. Dept. Economics, Howard University, , Washington, USA

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  • Develops an epistemic framework for understanding fuzzy paradigm and fuzzy optimal decision-choice rationality
  • Focuses on unified epistemic models of decision-choice processes

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 237)

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Table of contents (6 chapters)

  1. Front Matter

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  2. Fuzzy Rationality, Uncertainty and Expectations

    • Kofi Kissi Dompere
    Pages 1-26

  3. Fuzzy Rationality and Classical Sub-optimal Rationality

    • Kofi Kissi Dompere
    Pages 27-49

  4. Fuzzy Rationality, Ambiguity and Risk in Decision-Choice Process

    • Kofi Kissi Dompere
    Pages 51-82

  5. Epistemics of Risk and Optimal Decision-Choice Rationality

    • Kofi Kissi Dompere
    Pages 83-104

  6. Reflections on Some Decision-Choice Theories on Uncertainty and Risk

    • Kofi Kissi Dompere
    Pages 105-132

  7. Fuzzy Decision-Choice Rationality and Paradoxes in Decision-Choice Theories

    • Kofi Kissi Dompere
    Pages 133-170

  8. Back Matter

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Keywords

About this book

We do not perceive the present as it is and in totality, nor do we infer the future from the present with any high degree of dependability, nor yet do we accurately know the consequences of our own actions. In addition, there is a fourth source of error to be taken into account, for we do not execute actions in the precise form in which they are imaged and willed. Frank H. Knight [R4.34, p. 202] The “degree” of certainty of confidence felt in the conclusion after it is reached cannot be ignored, for it is of the greatest practical signi- cance. The action which follows upon an opinion depends as much upon the amount of confidence in that opinion as it does upon fav- ableness of the opinion itself. The ultimate logic, or psychology, of these deliberations is obscure, a part of the scientifically unfathomable mystery of life and mind. Frank H. Knight [R4.34, p. 226-227] With some inaccuracy, description of uncertain consequences can be classified into two categories, those which use exclusively the language of probability distributions and those which call for some other principle, either to replace or supplement.

Authors and Affiliations

  • Dept. Economics, Howard University, , Washington, USA

    Kofi Kissi Dompere

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