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Bipolar Neutrosophic Projection Based Models for Solving Multi-attribute Decision Making Problems
Author(s) -
Surapati Pramanik,
Partha Pratim Dey,
Bibhas C. Giri,
Florentín Smarandache
Publication year - 2016
Publication title -
unm’s digital repository (university of new mexico)
Language(s) - English
DOI - 10.5281/zenodo.570936
Subject(s) - projection (relational algebra) , projection pursuit , computer science , artificial intelligence , data mining , algorithm
Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the alternatives with respect to the attributes are expressed in terms of bipolar neutrosophic values

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