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Neural Computing and Applications
Published in: Neural Computing and Applications 7/2021

25-06-2020 | Original Article

Group decision on the evaluation of outsourcing for information systems employing interval-valued hesitant fuzzy modeling

Author: Seyed Meysam Mousavi

Published in: Neural Computing and Applications | Issue 7/2021

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Abstract

Organizations design procedures for information systems (ISs) management by outsourcing operations that could incorporate applications, assets, and other resources related to the IS-activities. This paper proposes a novel group decision-making approach in light of cooperative choice investigations under interval-valued hesitant fuzzy (IVHF)-uncertainty to evaluate IS-outsourcing candidates. The IVHFSs could help the IS-decision makers (DMs) by appointing interval-valued membership degrees for IS-outsourcing' exercises among the conflict factors by regarding a set to the margin of errors. For a reason, preferences judgments of IS-experts are communicated by linguistic terms, which they are changed over to IVHF-elements. In the proposed model, the weights of evaluation factors or criteria and experts are figured in light of IVHF-preference evaluation technique and IVHF-utility degree strategy. Then, criteria and IS-DMs' weights are given in the method of proposed assessing and ranking approach to decrease the errors. Furthermore, the judgments are amassed in the last step of the presented model to prevent the loss of information. At last, the proposed IVHF-group decision model is implemented to a case study to demonstrate its suitability along with comparative analysis from different aspects.
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Metadata
Title
Group decision on the evaluation of outsourcing for information systems employing interval-valued hesitant fuzzy modeling
Author
Seyed Meysam Mousavi
Publication date
25-06-2020
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 7/2021
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05059-3

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