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A Paraconsistent Decision-Making Method: Smart Innovation, Systems and Technologies, cartea 87

Autor Fábio Romeu de Carvalho, Jair Minoro Abe
en Limba Engleză Paperback – 5 ian 2019
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.
 
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Specificații

ISBN-13: 9783030089191
ISBN-10: 3030089193
Ilustrații: XVIII, 211 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Smart Innovation, Systems and Technologies

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.
 

Caracteristici

Presents a novel decision-making support system based on paraconsistent annotated evidential logic, which can handle imprecise, incomplete, and contradictory data directly Is useful in several areas, including information systems, artificial intelligence, robotics, and automation Presents contributions on decision-making, systematically addressing uncertain data, and inconsistent and paracomplete in detail