000 03702nam a22004815i 4500
001 978-3-540-70810-0
003 DE-He213
005 20161121230542.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540708100
_9978-3-540-70810-0
024 7 _a10.1007/978-3-540-70810-0
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aFuzzy Engineering Economics with Applications
_h[electronic resource] /
_cedited by Cengiz Kahraman.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aX, 390 p. 150 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v233
505 0 _aFuzzy 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.
520 _aFuzzy 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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aKahraman, Cengiz.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540708094
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v233
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-70810-0
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c500460
_d500460