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© 2013

Fuzziness and Foundations of Exact and Inexact Sciences

Benefits

  • The aim of this monograph is to construct an epistemic framework for understanding the differences and similarities of exact and inexact sciences and the methodologies of their analyses and syntheses

  • This monograph demonstrated that the classical paradigm is a derivative of the fuzzy paradigm, which also constitutes the primary category of logical category, and shows the interconnections among axiomatic and empirical foundations of science as well as the role that paradigms play in deriving rules of thought that lead to abstractions of significant conclusions or propositions

  • Written by a leading expert in the field

Book

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 290)

Table of contents

About this book

Introduction

The monograph is an examination of the fuzzy rational foundations of the structure of exact and inexact sciences over the epistemological space which is distinguished from the ontological space. It is thus concerned with the demarcation problem. It examines exact science and its critique of inexact science. The role of fuzzy rationality in these examinations is presented. The driving force of the discussions is the nature of the information that connects the cognitive relational structure of the epistemological space to the ontological space for knowing. The knowing action is undertaken by decision-choice agents who must process information to derive exact-inexact or true-false conclusions. The information processing is done with a paradigm and laws of thought that constitute the input-output machine. The nature of the paradigm selected depends on the nature of the information structure that is taken as input of the thought processing. Generally, the information structure received from the ontological space is defective from the simple principles of acquaintances and the limitations of cognitive agents operating in the epistemological space. How then do we arrive and claim exactness in our knowledge-production system?

The general conclusion of this book is that the conditions of the fuzzy paradigm with its laws of thought and mathematics present a methodological unity of exact and inexact sciences where every zone of thought has fuzzy covering.

Keywords

Classical Logic Epistemology Exact Science Fuzzy Logic Inexact Science Inexact Symbolism Information Processing Knowledge Principle of Exact Rigid Determination Principle of Inexact Flexible Determination

Authors and affiliations

  1. 1., Department of EconomicsHoward UniversityColumbiaUSA

Bibliographic information

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