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Cost-Benefit Analysis and the Theory of Fuzzy Decisions

Identification and Measurement Theory

  • Kofi Kissi Dompere

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 158)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Kofi Kissi Dompere
    Pages 1-31
  3. Kofi Kissi Dompere
    Pages 79-127
  4. Kofi Kissi Dompere
    Pages 129-176
  5. Kofi Kissi Dompere
    Pages 177-242
  6. Kofi Kissi Dompere
    Pages 243-295
  7. Back Matter
    Pages 297-399

About this book

Introduction

This monograph is devoted to the identification and measurement theory of costs and benefits in a fuzzy information environment. The process of cost-benefit analysis is presented, requiring the development of real cost-benefit databases and the construction of cost-benefit criterion. These steps are accomplished with various theoretical constructs that provide sets of self-contained algorithms for application. This book integrates cost-benefit analysis, theory of fuzzy decisions and social decisions into unified decision algorithms accessible to practitioners, researchers, and graduate students. It features the essentials of fuzzy mathematics and algorithms in a comprehensive way, exposing a multi-disciplinary approach for the development of cost-benefit decision making in the framework of fuzziness and soft computing.

Keywords

Analysis algorithm algorithms construction database databases fuzzy logic mathematical programming optimization programming sets statistics

Authors and affiliations

  • Kofi Kissi Dompere
    • 1
  1. 1.Department of EconomicsHoward UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-44440-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-06056-4
  • Online ISBN 978-3-540-44440-4
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site