A New Multi-Criteria Decision-Making Method Under Neutrosophic Environment: ARAS Method With Single-Valued Neutrosophic Numbers

Esra Aytaç Adalı, Tayfun Öztaş (), Abdullah Özçil (), Gülin Zeynep Öztaş () and Ayşegül Tuş ()
Additional contact information
Esra Aytaç Adalı: Department of Business Administration, Pamukkale University, Denizli 20160, Turkey
Tayfun Öztaş: Department of Business Administration, Pamukkale University, Denizli 20160, Turkey
Abdullah Özçil: Department of Business Administration, Kahramanmaraş Sütçü İmam University, Kahramanmaraş 46050, Turkey
Gülin Zeynep Öztaş: Department of Business Administration, Pamukkale University, Denizli 20160, Turkey
Ayşegül Tuş: Department of Business Administration, Pamukkale University, Denizli 20160, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 01, 57-87

Abstract: The most important feature of decision problems is that they contain alternatives and criteria expressed both objectively and subjectively. Such problems are solved by multi-criteria decision-making (MCDM) methods. The difficulty, however, is that qualitative criteria cannot be modeled and measured quantitatively. There are many tools, fuzzy set, intuitionistic fuzzy set, neutrosophic set, and so on, to analyze the incompleteness and uncertainty in the data. The most important characteristic that distinguishes neutrosophic sets from these sets is that they use three membership values as truth, indeterminacy, and false. In this sense, it is superior to classical fuzzy sets. Therefore, in this study, a novel-integrated solution method based on Neutrosophic Criteria Importance Through Inter-Criteria Correlation (N-CRITIC) and Neutrosophic Additive Ratio ASsessment (N-ARAS) methods is developed for the MCDM problems by integrating Single-Valued Neutrosophic Numbers (SVNNs) into CRITIC and ARAS methods. A case study from the literature concerning the most appropriate technology forecasting method selection has been applied to present the computational details. First, N-CRITIC method is performed to find the weights of selection criteria. Then, N-ARAS method is used to determine the ranking order of technology forecasting methods and select the optimal one. The sensitivity and comparative analyses have also proved that the novel-integrated solution method gives a consistent ranking for the alternatives.

Keywords: MCDM; CRITIC; ARAS; neutrosophic set; SVNNs (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622022500456
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:22:y:2023:i:01:n:s0219622022500456

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622022500456

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().