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Abstract
In the paper application of the InterCriteria analysis approach to real dataset with instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an air quality chemical multisensor device [29,30] is represented. The InterCriteria analysis is a new method that can be used for multicriteria decision making. The aim is to analyze the correlations between 12 indicators representing the recordings of on field deployed air quality chemical sensor devices responses.
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Acknowledgments
The authors are thankful for the support provided by the Bulgarian National Science Fund under Grant Ref. No. DFNI-I-02-5 “InterCriteria Analysis: A New Approach to Decision Making”.
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Authors and Affiliations
Intelligent Systems Laboratory, University “Prof. Dr. Assen Zlatarov”, Burgas, Bulgaria
Evdokia Sotirova, Veselina Bureva & Sotir Sotirov
Department of Silicate Technology, University “Prof. Dr. Assen Zlatarov”, Burgas, Bulgaria
Irena Markovska
Medical University-Varna “Prof. Dr. P. Stoyanov”, Varna, Bulgaria
Desislava Vankova
- Evdokia Sotirova
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- Veselina Bureva
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- Irena Markovska
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- Sotir Sotirov
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- Desislava Vankova
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Correspondence toEvdokia Sotirova orDesislava Vankova.
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Roskilde University, Roskilde, Denmark
Henning Christiansen
ENSSAT-IRISA, Lannion Cedex, France
Hélène Jaudoin
University of Westminster, London, United Kingdom
Panagiotis Chountas
Roskilde University, Roskilde, Denmark
Troels Andreasen
Aalborg University, Esbjerg, Denmark
Henrik Legind Larsen
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Sotirova, E., Bureva, V., Markovska, I., Sotirov, S., Vankova, D. (2017). Application of the InterCriteria Analysis Over Air Quality Data. In: Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2017. Lecture Notes in Computer Science(), vol 10333. Springer, Cham. https://doi.org/10.1007/978-3-319-59692-1_20
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