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Neutrosophic Sets and Systems
Article . 2017
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Decision Support Based On Single Valued Neutrosophic Number For Information System Project Selection

Authors: Silvia Liliana Tejada Yepez;

Decision Support Based On Single Valued Neutrosophic Number For Information System Project Selection

Abstract

Neutrosophic sets and its application to decision support have become a topic of great importance for researchers and practitioners alike. In this paper, a new model for decision making in the selection of information system projects is presented based on single valued neutrosophic number (SVN-numbers) allowing the use of linguistic variables with multiples points of view from experts. The proposed framework is composed of four activities, framework, gathering information, rating alternatives and information system project selection. Project alternatives are rated based on the Euclidean distance to the ideal alternative. A case study is developed in information system, showing the applicability of the proposal. Further works will concentrate in extending the model for dealing with heterogeneous information and in developing a software tool.

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Keywords

Decision Analysis, project selection, Electronic computers. Computer science, Ideal Alternative, QA1-939, QA75.5-76.95, SVN Numbers, Mathematics, Information Systems

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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