rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Paraconsistent Decision-Making Method
  name:
    name part: Carvalho, Fábio Romeu de.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Abe, Jair Minoro.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 211 p. online resource.
  abstract: 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. .
  table of contents: 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.
  note: by Fábio Romeu de Carvalho, Jair Minoro Abe.
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Robotics and Automation
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Smart Innovation, Systems and Technologies, 87
  identifier: 9783319741109
  identifier: https://doi.org/10.1007/978-3-319-74110-9
  record info:
    record creation date: 180613
    record change date: 20191220130313.0
    record identifier: 978-3-319-74110-9