Cost-benefit analysis and the theory of fuzzy decisions : identification and measurement theory /

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Bibliographic Details
Author / Creator:Dompere, K. K.
Imprint:Berlin ; New York : Springer, [2004]
©2004
Description:1 online resource (xviii, 399 pages) : illustrations.
Language:English
Series:Studies in fuzziness and soft computing, 1434-9922 ; volume 158
Studies in fuzziness and soft computing ; volume 158.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11081352
Hidden Bibliographic Details
ISBN:9783540444404
3540444408
3540221549
9783540221548
3642060560
9783642060564
Notes:Includes bibliographical references (pages 297-394) and index.
Print version record.
Summary: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.
Other form:Print version: Dompere, K.K. Cost-benefit analysis and the theory of fuzzy decisions 3540221549
Standard no.:10.1007/978-3-540-44440-4