Fuzzy Logic in Geology book cover

Fuzzy Logic in Geology

What is fuzzy logic?--a system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis.

Audience
Theoreticians, practitioners, educator, and students of applied mathematics, geology, hydrology, geophysical analysis, sedimentology, and petroleum geology, as well as fuzzy logic researchers.

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Published: September 2003

Imprint: Academic Press

ISBN: 978-0-12-415146-8

Reviews

  • 'Fuzzy logic is a technology that definitely deserves a lot more attention in the geosciences. This book serves as an excellent starting point for any geophysicist interested in learning about soft computing techniques, and applying them to seismic processing and interpretation.' The Leading Edge, June 2004

Contents

  • Contributors; Foreword By Lotfi A. Zadeh; Preface; Glossary Of Symbols; Introduction (Demicco And Klir); Fuzzy Logic: A Specialized Tutorial (Klir); Fuzzy Logic And Earth Science: An Overview (Demicco); Fuzzy Logic In Geological Sciences: A Literature Review (Demicco); Applications of Fuzzy Logic to Stratigraphic Modeling (Demicco); Fuzzy Logic In Hydrology And Water Resources (Bogardi, Bardossy, Duckstein And Pongracz); Formal Concept Analysis In Geology (Belohlavek); Fuzzy Logic and Earthquake Research (Chongfu); Fuzzy Transform: Application to the Reef Growth Problem (Perfilieva); Ancient Sea-Level Estimation (Novak); Acknowledgments; Name Index; Subject Index.

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