Generalized ordered weighted harmonic averaging operator with trapezoidal neutrosophic numbers for solving MADM problems

Harmonic mean is suitable for algebraic calculation and other mathematical treatments and also suitable for directly aggregated negative indicators. In many different situations, harmonic mean improves the flexibility. In this paper, we develop some new aggregation operators under neutrosophic envir...

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Published in:Journal of ambient intelligence and humanized computing 2022-08, Vol.13 (8), p.4089-4102
Main Authors: Paulraj, S., Tamilarasi, G.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Intelligence
Engineering
Expected values
Fuzzy sets
Linear programming
Mathematical functions
Multiple criteria decision making
Numbers
Operators (mathematics)
Original Research
Robotics and Automation
User Interfaces and Human Computer Interaction
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description Harmonic mean is suitable for algebraic calculation and other mathematical treatments and also suitable for directly aggregated negative indicators. In many different situations, harmonic mean improves the flexibility. In this paper, we develop some new aggregation operators under neutrosophic environment and apply with multi attribute decision making (MADM) problems. First, we provide a Single valued trapezoidal neutrosophic Generalized ordered weighted harmonic averaging(SVTNGOWHA) operator which is the extension of single valued trapezoidal neutrosophic ordered weighted harmonic averaging (SVTNOWHA) operator. To fix the operators on the mount, we have tested these methods in few illustrative examples, and the results have been presented.
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subjects Artificial Intelligence
Computational Intelligence
Engineering
Expected values
Fuzzy sets
Linear programming
Mathematical functions
Multiple criteria decision making
Numbers
Operators (mathematics)
Original Research
Robotics and Automation
User Interfaces and Human Computer Interaction
title Generalized ordered weighted harmonic averaging operator with trapezoidal neutrosophic numbers for solving MADM problems
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