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A Paraconsistent Decision-Making Method

Englisch · Fester Einband

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Beschreibung

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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.

 

Inhaltsverzeichnis

Logic.- Paraconsistent annotated evidential logic.- Decision rules.- The decision-making process - paraconsistent decision method (PDM).- Calculation program for the paraconsistent decision method - (PDM's CP).- Application examples.- Comparison between the paraconsistent decision method (PDM) and the statistical decision method (EDM).- A simplified version of the fuzzy decision method and its comparison to the paraconsistent decision method.- Complementary reading: an example from everyday life.- An overview of more applications.

Zusammenfassung

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.

 

Produktdetails

Autoren Jair Minoro Abe, Fábio Romeu d Carvalho, Fábio Romeu de Carvalho
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Fester Einband
Erschienen 01.01.2018
 
EAN 9783319741093
ISBN 978-3-31-974109-3
Seiten 211
Abmessung 160 mm x 241 mm x 19 mm
Gewicht 504 g
Illustration XVIII, 211 p.
Serien Smart Innovation, Systems and Technologies
Smart Innovation, Systems and Technologies
Themen Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika

B, Robotics, Artificial Intelligence, Automation, engineering, Computational Intelligence, Control, Robotics, Automation, Robotics and Automation, Automatic control engineering

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