Fuzzy Engineering Economics with Applications

ISBN-13: 9783540708094 / Angielski / Twarda / 2008 / 390 str.

Cengiz Kahraman

Opis

This book handles the fuzzy cases of classical engineering economics topics. It contains 15 original research chapters and is a useful source of techniques and methods for further research on the applications of fuzzy sets in engineering economics.

Spis treści

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.

Blurb

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 extensively 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 applied to problems in engineering, business, medical and related health sciences, and the natural sciences. This book handles the fuzzy cases of classical engineering economics topics. It contains 15 original research and application chapters including different topics of fuzzy engineering economics. This book will provide a useful resource of ideas, techniques, and methods for present and further research in the applications of fuzzy sets in engineering economics.