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" A paraconsistent decision-making method / "
Fábio Romeu de Carvalho, Jair Minoro Abe.
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BL
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| Record Number
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864597
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| Main Entry
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Carvalho, Fábio Romeu de
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| Title & Author
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A paraconsistent decision-making method /\ Fábio Romeu de Carvalho, Jair Minoro Abe.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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| Series Statement
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Smart Innovation, Systems and Technologies,; v. 87
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| Page. NO
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1 online resource (xviii, 211 pages) :: illustrations (some color)
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| ISBN
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3319741101
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: 9783319741109
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3319741098
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9783319741093
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| Contents
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Logic -- Paraconsistent annotated evidential logic E[Tau symbol] -- Decision rules -- The decision making process -- 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.
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| Abstract
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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.
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Computer logic.
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Decision making.
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Decision support systems.
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Logic.
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Artificial intelligence.
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Artificial intelligence.
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Automation.
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Computational intelligence.
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Decision making.
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Engineering.
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MATHEMATICS-- Applied.
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MATHEMATICS-- Probability Statistics-- General.
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Robotics.
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Robotics.
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| Dewey Classification
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519.5/42
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| LC Classification
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Q342
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| Added Entry
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Abe, Jair Minoro
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