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

Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information
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Publisher : Infinite Study
Total Pages : 10
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Book Synopsis Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information by : Bibhas C. Giri

Download or read book Grey relational analysis method for SVTrNN based multi-attribute decision making with partially known or completely unknown weight information written by Bibhas C. Giri and published by Infinite Study. This book was released on with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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