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: Fuzzy Hierarchical Model for Risk Assessment
    sub title: Principles, Concepts, and Practical Applications
  name:
    name part: Chan, Hing Kai.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Wang, Xiaojun.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 169 p. online resource.
  abstract: Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management.
  table of contents: Hierarchical Model in Decision-Making -- Multi-criteria Decision-Making for Risk Assessment -- Fuzzy Hierarchical Model for Risk Assessment -- Mathematical Formulation -- Application in Product Design -- Application in Fashion Supply Chain -- Application in Food Supply Chain -- Extension of the Hierarchical Model.
  note: by Hing Kai Chan, Xiaojun Wang.
  subject:
    topic: Engineering
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computational intelligence
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Engineering
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Computational Intelligence
  subject:
    topic: Operation Research/Decision Theory
  classification: TA169.7
  classification: T55-T55.3
  classification: TA403.6
  classification: 658.56
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781447150435
  identifier: http://dx.doi.org/10.1007/978-1-4471-5043-5
  record info:
    record creation date: 130413
    record change date: 20151125151720.0
    record identifier: 978-1-4471-5043-5