Cloud Computing Technology Selection Using a Novel Neutrosophic Extension of the MULTIMOORA Method Based on the Use of Interval-Valued and Triangular-Valued Neutrosophic Numbers

Dragisa Stanujkic (), Darjan Karabasevic (), Gabrijela Popovic (), Edmundas Kazimieras Zavadskas () and Maja Stanujkic ()
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Dragisa Stanujkic: Technical Faculty in Bor, University of Belgrade
Darjan Karabasevic: Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad
Gabrijela Popovic: Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad
Edmundas Kazimieras Zavadskas: Institute of Sustainable Construction, Vilnius Gediminas Technical University
Maja Stanujkic: Technical Faculty in Bor, University of Belgrade

A chapter in Neutrosophic Operational Research, 2021, pp 367-394 from Springer

Abstract: Abstract Cloud computing certainly represents an evolution in the field of computing technology and represents the new concept of computer science and business. Cloud computing is based on the concept of distributed computing which is entirely reliant on the Internet. An objective of this paper is to provide an efficient methodology for cloud computing technology selection based on multiple-criteria decision-making methods. Therefore, the main aim of this manuscript is to propose a new extension of the MULTIMORA method adapted for usage with a neutrosophic set, more precisely interval-valued and triangular-valued neutrosophic numbers. By using single-valued neutrosophic sets, the MULTIMOORA method can be more efficient for solving complex problems whose solving requires assessment and prediction, i.e., those problems associated with inaccurate and unreliable data. The suitability of the proposed approach is presented through an illustrative example.

Keywords: Neutrosophic set; Interval-valued neutrosophic numbers; Triangular-valued neutrosophic numbers; MULTIMOORA; MCDM (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-57197-9_18

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DOI: 10.1007/978-3-030-57197-9_18

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