Optimization Model for Group Decisions Based on Consensus in Social Network
Fajriana1, Herman Mawengkang2

1Fajriana, Malikussaleh University, Lhokseumawe, Aceh, Indonesia.
2Herman Mawengkang, Department of Mathematics, University of Sumatera Utara, Medan, Indonesia.
Manuscript received on 09 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1445-1447 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12550476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: For one or more files contained in databases, the computer forms a leading site for storage. In the majority of large firms, the databases tend to be in central systems, rather than on the individual employee computers. It is also worth noting that computer servers are contained in these respective firm central systems, offering services over networks. The implication is that the server hosts database files but, using different firm computers, an operator can access the files. An increase in database complexity translates into the formation of a social network. Therefore, a social network becomes a database collection working together. The role of social networks lies in their capacity to foster data integration from different databases, giving the information new insights. Given that the ultimate goal of business organizations stretches beyond data storage to support decision-making in relation to the resultant data, this paper has established that social networks play a critical role towards the achievement of this goal.
Keywords: Consensus, Multi-criteria, Group Decision, Social Network.
Scope of the Article: Social Network