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Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems
by
Garai, Totan
, Dalapati, Shyamal
, Garg, Harish
, Roy, Tapan Kumar
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Decision making
/ Engineering
/ Fuzzy sets
/ Mathematical Logic and Foundations
/ Mean
/ Mechatronics
/ Methodologies and Application
/ Methods
/ Numbers
/ Ranking
/ Ratings & rankings
/ Real numbers
/ Robotics
/ Standard deviation
/ Variance
2020
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Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems
by
Garai, Totan
, Dalapati, Shyamal
, Garg, Harish
, Roy, Tapan Kumar
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Decision making
/ Engineering
/ Fuzzy sets
/ Mathematical Logic and Foundations
/ Mean
/ Mechatronics
/ Methodologies and Application
/ Methods
/ Numbers
/ Ranking
/ Ratings & rankings
/ Real numbers
/ Robotics
/ Standard deviation
/ Variance
2020
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Do you wish to request the book?
Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems
by
Garai, Totan
, Dalapati, Shyamal
, Garg, Harish
, Roy, Tapan Kumar
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Decision making
/ Engineering
/ Fuzzy sets
/ Mathematical Logic and Foundations
/ Mean
/ Mechatronics
/ Methodologies and Application
/ Methods
/ Numbers
/ Ranking
/ Ratings & rankings
/ Real numbers
/ Robotics
/ Standard deviation
/ Variance
2020
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Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems
Journal Article
Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems
2020
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Overview
Single-valued neutrosophic numbers (SVN-numbers) are a special kind of neutrosophic set on the real number set. The concept of a SVN-number is important for quantifying an ill-known quantity and ranking of SVN-number is a very difficult situation in decision-making problems. The main aim of this paper is to present a new ranking methodology of SVN-numbers for solving multi-attribute decision-making problems. Therefore, we firstly define the possibility mean, variance and standard deviation of single-valued neutrosophic numbers. Using the ratio of possibility mean and standard deviation, we have developed the proposed ranking approach and applied to MADM problems. Finally, a numerical example is examined to show the applicability and embodiment of the proposed method.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
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