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:
    title: Recent Advances in Decision Making
  name:
    name part: Rakus-Andersson, Elisabeth.
    role:
      role term: editor.
  name:
    name part: Yager, Ronald R.
    role:
      role term: editor.
  name:
    name part: Ichalkaranje, Nikhil.
    role:
      role term: editor.
  name:
    name part: Jain, Lakhmi C.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 179 p. online resource.
  abstract: Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making A new method of ranking intuitionistic fuzzy alternatives Fuzzy rule base model identification by bacterial memetic algorithms Discovering associations with uncertainty from large databases Dempster-Shafer structures, monotonic set measures and decision making Interpretable decision-making models A General methodology for managerial decision making Supporting decision making via verbalization of data analysis results using linguistic data summaries Computational intelligence in medical decisions making This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.
  table of contents: Advances in Decision Making -- Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives -- Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms -- Discovering Associations with Uncertainty from Large Databases -- Dempster-Shafer Structures, Monotonic Set Measures and Decision Making -- The Development of Interpretable Decision-Making Models: A Study in Information Granularity and Semantically Grounded Logic Operators -- A General Methodology for Managerial Decision Making Using Intelligent Techniques -- Supporting Decision Making via Verbalization of Data Analysis Results Using Linguistic Data Summaries -- Computational Intelligence in Medical Decisions Making.
  note: edited by Elisabeth Rakus-Andersson, Ronald R. Yager, Nikhil Ichalkaranje, Lakhmi C. Jain.
  subject:
    topic: Business
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Artificial intelligence
  subject:
    topic: Management science
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Business and Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 222
  identifier: 9783642021879
  identifier: http://dx.doi.org/10.1007/978-3-642-02187-9
  record info:
    record creation date: 100301
    record change date: 20151204182753.0
    record identifier: 978-3-642-02187-9