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

Seyed Meysam Mousavi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=137833
Date :  2020/06/25
Publish in :    Neural Computing and Applications

Link :  https://link.springer.com/article/10.1007/s00521-020-05059-3
Keywords :Information systems outsourcing, Evaluation selection problems, Group decision analysis, Interval-valued hesitant fuzzy sets, Interval-valued hesitant fuzzy-utility degree

Abstract :

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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 decisionmaking 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 IVHFelements. In the proposed model, the weights of evaluation factors or criteria and experts are figured in light of IVHFpreference 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.