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Comprehensive evaluation model based on synthetic importance measure

  • Hebei University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the problem of attributes interdependence and correlation in comprehensive evaluation, the paper proposes to identify the relationships among the attributes from the decision information system based on the covering rough sets. It first shows a metric with the characteristics of fuzzy measure to measure the hidden importance of attributes, which can be seen as a reflection of the attributes correlation. Then the synthetic importance measure is given by incorporating it into the basic importance. Furthermore, the comprehensive valuation model is constructed by taking Choquet integral as an aggregation operator.

Original languageEnglish
Title of host publicationVehicle, Mechatronics and Information Technologies
Pages987-990
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013 - Zhengzhou, Henan, China
Duration: 17 Aug 201318 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume380-384
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013
Country/TerritoryChina
CityZhengzhou, Henan
Period17/08/1318/08/13

Keywords

  • Comprehensive evaluation
  • Covering rough sets
  • Decision information system
  • Fuzzy measure
  • Synthetic importance measure

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