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A risk-based emergency group decision method for haze disaster weather based on cumulative prospect theory

Li, Haitao

International journal of applied decision sciences. Volume 11:Number 4 (2018); pp 334-351 -- Inderscience Publishers

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  • Title:
    A risk-based emergency group decision method for haze disaster weather based on cumulative prospect theory
  • Author: Li, Haitao
  • Found In: International journal of applied decision sciences. Volume 11:Number 4 (2018); pp 334-351
  • Journal Title: International journal of applied decision sciences
  • Subjects: Decision making--Periodicals; Management science--Periodicals; haze disaster weather--risk-based emergency group decision-making--cumulative prospect theory--CPT--linguistic evaluation information; Dewey: 658.403005
  • Rights: Licensed
  • Publication Details: Inderscience Publishers
  • Abstract:

    The frequent occurrence of extreme haze episodes currently in China has caused widespread public concern. The Chinese Government has developed and implemented a series of long-term measures to mitigate the serious situation. Nevertheless, some emergency response measures are also needed in the short-term. Hence, a risk-based emergency group decision method for haze disaster weather based on cumulative prospect theory (CPT) with linguistic evaluation information is proposed. This method obtains and expresses group decision-makers' (DMs') evaluation information based on additional linguistic evaluation scale and its extended scale, calculates the comprehensive prospect value matrix of each haze emergency response alternative based on CPT, after that, calculates the final decision results with DMs' weights. On these bases, the best haze disaster emergency response alternative can be selected. Finally, an application case of HD city in North China is presented to illustrate the usefulness and effectiveness of the proposed method.


  • Identifier: System Number: ETOCvdc_100079455420.0x000001; Journal ISSN: 1755-8077
  • Publication Date: 2018
  • Physical Description: Electronic
  • UIN: ETOCvdc_100079455420.0x000001

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