A Paraconsistent Decision-Making Method (Hardcover, 1st ed. 2018)

This book presents a novel decision-making support system based on paraconsistent annotated evidential logic, which directly handles imprecise, incomplete and contradictory data. The authors offer insights into areas such as engineering and biomedicine, as well as related fields. Decision analysis is useful in making choices when the consequences of actions are uncertain, like in business administration, where it assists in making investment decisions, and in health care, Decision analysis is also valuable when the possible actions may lead to conflicting consequences. A fundamental tenet of decision analysis is that even though the available information is incomplete, a decision must be made. Thus, analyses often contain assumptions about or estimates of missing data. The contribution that this method can provide to professionals and companies has significant relevance in terms of the impact of information systems on productivity and quality of the companies; the lack of training companies for proper planning and management of information systems; and the need for interdisciplinary treatment of several sectors of almost all related scientific areas. This book is a valuable resource for professionals seeking a competitive edge in their performance.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Smart Innovation, Systems and Technologies, 87
Release date:	June 2018
First published:	2018
Authors:	Fabio Romeu de Carvalho • Jair Minoro Abe
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	211
Edition:	1st ed. 2018
ISBN-13:	978-3-319-74109-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Decision theory > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-74109-8
Barcode:	9783319741093

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