Fuzzy Engineering Economics with Applications

1. Front Matter

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2. Fuzzy Sets in Engineering Economic Decision-Making

   • Cengiz Kahraman

   Pages 1-9

3. Fuzzy Present Worth Analysis with Correlated and Uncorrelated Cash Flows

   • Aleksandar Dimitrovski, Manuel Matos

   Pages 11-41

4. Optimization with Fuzzy Present Worth Analysis and Applications

   • Dorota Kuchta

   Pages 43-69

5. Fuzzy Equivalent Annual-Worth Analysis and Applications

   • Cengiz Kahraman, İhsan Kaya

   Pages 71-81

6. Case Studies Using Fuzzy Equivalent Annual Worth Analysis

   • Manuel Matos, Aleksandar Dimitrovski

   Pages 83-95

7. Fuzzy Rate of Return Analysis and Applications

   • Dorota Kuchta

   Pages 97-104

8. On the Fuzzy Internal Rate of Return

   • P. Sewastjanow, L. Dymowa

   Pages 105-128

9. Fuzzy Benefit/Cost Analysis and Applications

   • Cengiz Kahraman, İhsan Kaya

   Pages 129-143

10. Fuzzy Replacement Analysis

    • Cengiz Kahraman, Murat Levent Demircan

    Pages 145-157

11. Depreciation and Income Tax Considerations under Fuzziness

    • Cengiz Kahraman, İhsan Kaya

    Pages 159-171

12. Effects of Inflation under Fuzziness and Some Applications

    • Cengiz Kahraman, Tufan Demirel, Nihan Demirel

    Pages 173-182

13. Fuzzy Sensitivity Analysis and Its Application

    • Toshihiro Kaino, Kaoru Hirota, Witold Pedrycz

    Pages 183-216

14. A Probabilistic Approach to Fuzzy Engineering Economic Analysis

    • K. Paul Yoon

    Pages 217-230

15. Investment Analyses Using Fuzzy Decision Trees

    • Cengiz Kahraman

    Pages 231-242

16. Fuzzy Multiobjective Evaluation of Investments with Applications

    • L. Dymova, P. Sevastjanov

    Pages 243-287

17. Using Fuzzy Multi-attribute Data Mining in Stock Market Analysis for Supporting Investment Decisions

    • Francisco Araque, Alberto Salguero, Ramon Carrasco, Luis Martinez

    Pages 289-306

18. Soft Decision Support Systems for Evaluating Real and Financial Investments

    • Péter Majlender

    Pages 307-338

19. Pricing Options, Forwards and Futures Using Fuzzy Set Theory

    • James J. Buckley, Esfandiar Eslami

    Pages 339-357

20. Fuzzy Capital Rationing Models

    • Esra Bas, Cengiz Kahraman

    Pages 359-380

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.

• Engineering Economics
• calculus
• data mining
• decision support
• decision support system
• decision tree
• fuzziness
• fuzzy
• fuzzy set
• fuzzy sets
• knowledge
• modeling
• optimization
• probability
• uncertainty

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