Fuzzy Engineering Economics with Applications
Author(s)
Bibliographic Information
Fuzzy Engineering Economics with Applications
(Studies in fuzziness and soft computing, 233)
Springer, c2008
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Fuzzy set approaches are suitable to use when the modeling of human knowledge is necessary and when human evaluations are needed. Fuzzy set theory is recognized as an important problem modeling and solution technique. It has been studied ext- sively over the past 40 years. Most of the early interest in fuzzy set theory pertained to representing uncertainty in human cognitive processes. Fuzzy set theory is now - plied to problems in engineering, business, medical and related health sciences, and the natural sciences. This book handles the fuzzy cases of classical engineering e- nomics topics. It contains 15 original research and application chapters including different topics of fuzzy engineering economics. When no probabilities are available for states of nature, decisions are given under uncertainty. Fuzzy sets are a good tool for the operation research analyst facing unc- tainty and subjectivity. The main purpose of the first chapter is to present the role and importance of fuzzy sets in the economic decision making problem with the literature review of the most recent advances.
Table of Contents
Fuzzy Sets in Engineering Economic Decision-Making.- Fuzzy Present Worth Analysis with Correlated and Uncorrelated Cash Flows.- Optimization with Fuzzy Present Worth Analysis and Applications.- Fuzzy Equivalent Annual-Worth Analysis and Applications.- Case Studies Using Fuzzy Equivalent Annual Worth Analysis.- Fuzzy Rate of Return Analysis and Applications.- On the Fuzzy Internal Rate of Return.- Fuzzy Benefit/Cost Analysis and Applications.- Fuzzy Replacement Analysis.- Depreciation and Income Tax Considerations under Fuzziness.- Effects of Inflation under Fuzziness and Some Applications.- Fuzzy Sensitivity Analysis and Its Application.- A Probabilistic Approach to Fuzzy Engineering Economic Analysis.- Investment Analyses Using Fuzzy Decision Trees.- Fuzzy Multiobjective Evaluation of Investments with Applications.- Using Fuzzy Multi-attribute Data Mining in Stock Market Analysis for Supporting Investment Decisions.- Soft Decision Support Systems for Evaluating Real and Financial Investments.- Pricing Options, Forwards and Futures Using Fuzzy Set Theory.- Fuzzy Capital Rationing Models.- Future Directions in Fuzzy Engineering Economics.
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