Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information

Released on by Bibhas C. Giri
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  • Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information Book Detail

  • Author : Bibhas C. Giri
  • Release Date :
  • Publisher : Infinite Study
  • Genre : Mathematics
  • Pages : 10
  • ISBN 13 :
  • File Size : 65,65 MB
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Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information by Bibhas C. Giri PDF Summary

Book Description: Single-valued trapezoidal neutrosophic number (SVTrNN), an extension of single-valued neutrosophic set, effectively deals with indeterminate and incomplete information in multi-attribute decision making (MADM) problem. In this paper, we extend the grey relational analysis (GRA) method for solving SVTrNN based MADM problem, where the weight information of attributes is partially known or completely unknown. Following the classical GRA method, we define grey relational co-efficient using a new distance measure. We develop two optimization models to determine the weights of the attributes. We calculate grey positive and negative relational degrees and define the relative closeness co-efficient of each alternative to determine the best alternative.

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Neutrosophic Sets and Systems, vol. 19/2018

Neutrosophic Sets and Systems, vol. 19/2018

File Size : 59,59 MB
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“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic pro