Normalization techniques for collaborative networks

Abstract

Purpose Normalization is a crucial step in all decision models, to produce comparable and dimensionless data from heterogeneous data. As such, various normalization techniques are available but their performance depends on a number of characteristics of the problem at hand. Thus, this study aims to introduce a recommendation framework for supporting users to select data normalization techniques that better fit the requirements in different application scenarios, based on multi-criteria decision methods. Design/methodology/approach Following the proposed approach, the authors compare six well-known normalization techniques applied to a case study of selecting suppliers in collaborative networks. Findings With this recommendation framework, the authors expect to contribute to improving the normalization of criteria in the evaluation and selection of suppliers and business partners in dynamic networked collaborative systems. Originality/value This is the first study about comparing normalization techniques for selecting the best normalization in dynamic multiple-criteria decision-making models in collaborative networks.

Selecting the Best Normalization Technique for ROV Method: Towards a Real Life Application

“…On the other hand, [14] applied a Pearson correlation for testing the suitability of different normalization methods (vector, max-min, max, sum). [35] added the Spearman correlation approach to the Pearson correlation approach applied by [14]. [11] used Spearman correlation.…”

“…In this study, a 4-step process by [35] is followed to decide which of the eight different normalization methods is most suitable for the ROV method. In the first stage, the RCI approach developed by [13] is used.…”

Distributed Localization with Complemented RSS and AOA Measurements: Theory and Methods

“…While in non-cooperative networks one takes advantage of known locations of anchors, which minimizes the error propagation due to localization inaccuracy, in many applications the number of anchors is scarce, and due to limited resources of nodes (e.g., battery life), only some of them can establish direct communication with anchors; hence, node cooperation is required in order to determine locations of all targets. It is well known that node cooperation can bring advantages and lead to better decisions, especially when connectivity in the network is limited [35][36][37]. The most frequent radio measurement techniques utilized in practice are time (difference) of arrival, round trip time, phase of arrival, received signal strength (RSS) and angle of arrival (AOA).…”

Analysis of Production Activity Control Mechanisms for Industry 4.0

“…In the context of I4.0 Information Technologies (ICT) allow for a better management and control of production activity, for instance by anticipating failures in the system, adapt the production to new manufacturing scenarios and integrate all activities of the production processes. Thus, factories become smarter, more flexible, efficient, dynamic and autonomous, facilitating interconnection among an extended manufacturing environment [17,18], acting as a complex supply network [19,20].…”