Abstract

PurposeThe purpose of this paper is to present the augmented reality (AR) eyeglass selection problem based on Neutrosophic MULTIMOORA method which is a very new multi-objective method.Design/methodology/approachThe author evaluates five AR goggles according to six different criteria. Criteria have different weights and determined by analytic hierarchy process. The author used neutrosophic MULTIMOORA method in order to evaluate AR eyeglasses.FindingsFive different AR eyeglasses were evaluated and the best one was selected according to six different criteria (benefit and non-benefit). According to Neutrosophic MULTIMOORA method, Sony AR eyeglass is selected as the best one. Neutrosophic MULTIMOORA method uses simple computational equations and it handles multi-objective decision making problems effectively.Originality/valueEvaluating AR goggles by using the Neutrosophic MULTIMOORA method for the first time is the originality of this paper.

Highlights

  • The term “Industry 4.0” is put forward by the German Government to promote the computerization of manufacturing (Sung, 2017)

  • Evaluating augmented reality (AR) goggles by using the Neutrosophic MULTIMOORA method for the first time is the originality of this paper

  • In the literature review section we focus on Industry 4.0 application and use of neutrosophic MULTIMOORA method

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Summary

Introduction

The term “Industry 4.0” is put forward by the German Government to promote the computerization of manufacturing (Sung, 2017). Industry 4.0 connects new technologies in order to provide flexibility in manufacturing where the conditions change rapidly. The recently developed Neutrosophic MULTIMOORA method can handle multi-objective decision making problems with uncertainty. In the literature review section we focus on Industry 4.0 application and use of neutrosophic MULTIMOORA method. Liebrecht et al (2017) proposed an approach based on fuzzy set theory and stochastic model to evaluate Manufacturing Systems 4.0. They used quantitative and qualitative criteria for evaluation. Stanujkic et al (2017) proposed a new extension of the MULTIMOORA method with neutrosophic set They evaluated the three commination circuit designs according to five different criteria. As Neutrosophic MULTIMOORA method is a relatively new method, there is no further research presented on this field

Neutrosophic sets
Neutrosophic MOORA–Ratio method
Neutrosophic MOORA–Reference point method È
Neutrosophic MOORA–Full multiplicative form
Application
Weighted deviations from the reference point
Comparison with neutrosophic TOPSIS
Conclusion

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