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: Performance Measurement with Fuzzy Data Envelopment Analysis
  name:
    name part: Emrouznejad, Ali.
    role:
      role term: editor.
  name:
    name part: Tavana, Madjid.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 288 p. 42 illus., 4 illus. in color. online resource.
  abstract: The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.
  table of contents: From the Contents: The State of the Art in Fuzzy Data Envelopment Analysis -- Imprecise Data Envelopment Analysis: Concepts, Methods, and Interpretations -- A General Framework of Dealing with Qualitative Data in DEA — A Fuzzy Number Approach -- Fuzzy Data Envelopment Analysis in Composite Indicator Construction -- Cross-efficiency in Fuzzy Data Envelopment Analysis.
  note: edited by Ali Emrouznejad, Madjid Tavana.
  subject:
    topic: Engineering
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Operation Research/Decision Theory
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 309
  identifier: 9783642413728
  identifier: http://dx.doi.org/10.1007/978-3-642-41372-8
  record info:
    record creation date: 131128
    record change date: 20151204191107.0
    record identifier: 978-3-642-41372-8