Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 70, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2020.3047954
Keywords
Decision-making; measurement; measurement information (MI); quality management; semiotic criteria; semiotics
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This article introduces a general-purpose framework aimed at capturing the concept of quality of measurement information (MI) and provides systematic analysis for evaluating, communicating, and improving MI quality, with an application example presented to test the framework. The framework, based on general criteria from ISO standards, classifies criteria according to syntactic, semantic, and pragmatic layers, forming a structured approach that includes both top-down analysis and bottom-up synthesis.
This article introduces a general-purpose framework aimed at capturing the elusive concept of quality of measurement information (MI), a critical issue for both researchers and practitioners when dealing with MI-enabled decision-making. The framework is a blueprint for the definition, assessment, communication, and improvement of MI quality, as analyzed through a set of general criteria, classified according to the syntactic, semantic, and pragmatic layers of semiotics, as suggested in the ISO 8000-8:2015 technical standard. The top-down analysis, where each criterion is specified in terms of characteristics and each characteristic in terms of domain-related indicators, is complemented with a bottom-up synthesis and operationalized by means of a flowchart. An application example, about the quality of information provided by the networks of measurement instruments reporting pollutants in the air, is presented to test the usefulness and the limitations of the framework.
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