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: Multi-criteria decision modelling
    sub title: applicational techniques and case studies
  title info:
    title: MATHnetBASE
  name:
    name part: Sindhwani, Rahul
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 206 pages) : illustrations (some color).
  abstract: "This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a practical foundation for solving real-life problems in different scenarios of emerging global markets. It depicts the use of sensitivity analysis and modelling, including case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the application of MCDM to a variety of situations. The book covers ways for companies to use these methods to their advantage in order to achieve sustainability. It also presents an overview of the main streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. This is a guide for those performing decision analysis for academic purposes as well as for researchers wanting to expand their knowledge on MCDM problem solving"--
  note: edited by Rahul Sindhwani, Punj Lata Singh, Bhawna Kumar, Varinder Kumar Mittal, J. Paulo Davim.
  subject:
    topic: Multiple criteria decision making
  subject:
    topic: Decision support systems
  subject:
    topic: Engineering design
    topic: Data processing
    genre: Case studies
  subject:
    topic: Management science
    topic: Data processing
    genre: Case studies
  subject:
    topic: TECHNOLOGY / Operations Research
  classification: T57.95 .M8184 2022
  classification: 658.4/03
  identifier: 9780367645649
  identifier: 0367645645
  identifier: 9781003125150
  identifier: 1003125158
  identifier: 9781000420999
  identifier: 100042099X
  identifier: 9781000420951
  identifier: 1000420957
  identifier: 9780367645588
  identifier: 0367645580
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCoLC-P
    record creation date: 210209
    record change date: 20220613175803.6
    record identifier: in00004581040
    language of cataloging:
      language term: eng