Cost-Benefit Analysis and the Theory of Fuzzy Decisions: Identification and Measurement Theory (Studies in Fuzziness and Soft Computing, 158) - Hardcover

Dompere, Kofi Kissi

Hardcover

ISBN 10: 3540221549 ISBN 13: 9783540221548

Publisher: Springer, 2004

Synopsis

The genus of definitions for the theoretical sciences is (the province of) the habitus of the intellective intention, for the practical sciences, however, that of the effective intention; the objects and ends constitute the specific differ­ ence There is nothing in the intellect that has not already been in the senses, that is, in the sensory organs, that has not already been in sensible things from which are distinguished things not perceptible to the senses. Nothing can be of the mind, sensation and the thing inferred therefrom except the operation itself. Real learning is cognition of things in themselves. It thus has the basis of its certainty in the known thing. This is established in two ways: by demon­ stration in the case of contemplative things, and by induction in the case of things perceptible to the senses. In contrast with real learning there is pos­ sible, probable and fictive learning. Antonius Gvilielmus Amo Afer (1827) This research has been long in the making. Its conception began in my last years in the doctoral program at Temple University, Philadelphia, Pa. It was simultaneously conceived with my two books on the Neo­ Keynesian Theory of Optimal aggregate investment and output dynamics [201] [202] as well as reflections on the methodology of decision-choice rationality and development economics [440] [441]. Economic theories and social policies were viewed to have, among other things, one impor­ tant thing in common in that they relate to decision making under different.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2004
• ISBN 10: 3540221549
• ISBN 13: 9783540221548
• Binding: Hardcover
• Language: English
• Number of pages: 420