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: Soft Computing for Sustainability Science
  name:
    name part: Cruz Corona, Carlos.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  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: XVI, 348 p. 83 illus., 32 illus. in color. online resource.
  abstract: This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability. .
  table of contents: Soft Computing techniques and Sustainability Science, an introduction -- Vessels Fuel Consumption: a Data Analytics Perspective to Sustainability -- FuzzyCovering: a Spatial Decision Support System for solving fuzzy covering location problems -- A Fuzzy Location Problem based upon Georeferenced Data -- A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis -- Consumer segmentation through multi-instance clustering time-series energy data from smart meters -- A multicriteria group decision model for ranking technology packages in agriculture -- A Linguistic 2-tuple based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port. .
  note: edited by Carlos Cruz Corona.
  subject:
    topic: Computational intelligence
  subject:
    topic: Industrial management-Environmental aspects
  subject:
    topic: Artificial intelligence
  subject:
    topic: Calculus of variations
  subject:
    topic: Sustainable development
  subject:
    topic: Computational Intelligence
  subject:
    topic: Sustainability Management
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  subject:
    topic: Sustainable Development
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 358
  identifier: 9783319623597
  identifier: https://doi.org/10.1007/978-3-319-62359-7
  record info:
    record creation date: 170713
    record change date: 20191024202653.0
    record identifier: 978-3-319-62359-7