{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T09:51:56Z","timestamp":1764841916035,"version":"build-2065373602"},"reference-count":103,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2016,10,29]],"date-time":"2016-10-29T00:00:00Z","timestamp":1477699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"German Federal Ministry of Education and Research (BMBF)","award":["02PQ1020"],"award-info":[{"award-number":["02PQ1020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large amounts of data, further challenges towards the fusion algorithms arise from epistemic uncertainties (incomplete knowledge) in the input signals as well as conflicts between them. These aspects must be considered during information processing to obtain reliable results, which are in accordance with the real world. The analysis of the scientific state of the art shows that current solutions fulfil said requirements at most only partly. This article proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) employing the \u03bcBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. The performance of the contribution is shown by its evaluation in the scope of a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The utilised data is published and freely accessible.<\/jats:p>","DOI":"10.3390\/s16111798","type":"journal-article","created":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T11:09:46Z","timestamp":1477912186000},"page":"1798","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Information Fusion of Conflicting Input Data"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1015-0697","authenticated-orcid":false,"given":"Uwe","family":"M\u00f6nks","sequence":"first","affiliation":[{"name":"inIT\u2014Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo 32657, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helene","family":"D\u00f6rksen","sequence":"additional","affiliation":[{"name":"inIT\u2014Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo 32657, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Volker","family":"Lohweg","sequence":"additional","affiliation":[{"name":"inIT\u2014Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Lemgo 32657, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"H\u00fcbner","sequence":"additional","affiliation":[{"name":"ESIT\u2014Embedded Systems for Information Technology, Ruhr-University Bochum, Bochum 44801, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/21.44007","article-title":"Multisensor integration and fusion in intelligent systems","volume":"19","author":"Luo","year":"1989","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hall, D.L., and Llinas, J. (2001). Handbook of Multisensor Data Fusion, CRC Press.","DOI":"10.1201\/9781420038545"},{"key":"ref_3","first-page":"136","article-title":"Monitoring of toxic gas in water by using data fusion method","volume":"1","author":"Mano","year":"2015","journal-title":"Int. J. Eng. Res. Sci. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Isermann, R. (2006). Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer.","DOI":"10.1007\/3-540-30368-5"},{"key":"ref_5","unstructured":"Quantified Self. Available online: http:\/\/www.qsdeutschland.de\/info\/."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Jaynes, E.T. (2003). Probability Theory: The Logic of Science, Cambridge University Press.","DOI":"10.1017\/CBO9780511790423"},{"key":"ref_7","unstructured":"Halpern, J.Y. (2005). Reasoning about Uncertainty, The MIT Press."},{"key":"ref_8","unstructured":"Bishop, C.M. (2009). Pattern Recognition and Machine Learning, Springer."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1214\/aoms\/1177698950","article-title":"Upper and lower probabilities induced by a multivalued mapping","volume":"38","author":"Dempster","year":"1967","journal-title":"Ann. Math. Stat."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Shafer, G. (1976). A Mathematical Theory of Evidence, Princeton University Press.","DOI":"10.1515\/9780691214696"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","author":"Zadeh","year":"1965","journal-title":"Inf. Control"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0165-0114(78)90029-5","article-title":"Fuzzy sets as a basis for a theory of possibility","volume":"1","author":"Zadeh","year":"1978","journal-title":"Fuzzy Sets Syst."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ayyub, B.M., and Klir, G.J. (2006). Uncertainty Modeling and Analysis in Engineering and the Sciences, Chapman and Hall\/CRC.","DOI":"10.1201\/9781420011456"},{"key":"ref_14","unstructured":"Lohweg, V., Voth, K., and Glock, S. (2011). Sensor Fusion, InTech."},{"key":"ref_15","first-page":"85","article-title":"A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination","volume":"7","author":"Zadeh","year":"1986","journal-title":"AI Mag."},{"key":"ref_16","unstructured":"Li, R., and Lohweg, V. (2008, January 9\u201310). A novel data fusion approach using two-layer conflict solving. Proceedings of the IEEE International Workshop on Cognitive Information Processing (CIP 2008), Santorini, Greece."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Lohweg, V., and M\u00f6nks, U. (2010, January 14\u201316). Sensor fusion by two-layer conflict solving. Proceedings of the IEEE 2rd International Workshop on Cognitive Information Processing (CIP 2010), Elba Island, Italy.","DOI":"10.1109\/CIP.2010.5604094"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"M\u00f6nks, U., Voth, K., and Lohweg, V. (2012, January 28\u201330). An extended perspective on evidential aggregation rules in machine condition monitoring. Proceedings of the IEEE 3rd International Workshop on Cognitive Information Processing (CIP 2012), Baiona, Spain.","DOI":"10.1109\/CIP.2012.6232905"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"M\u00f6nks, U., and Lohweg, V. (2013, January 10\u201313). Machine conditioning by importance controlled information fusion. Proceedings of the 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy.","DOI":"10.1109\/ETFA.2013.6647984"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"M\u00f6nks, U., and Lohweg, V. (2014, January 26\u201328). Fast evidence-based information fusion. Proceedings of the 4th International Workshop on Cognitive Information Processing (CIP 2014), Copenhagen, Denmark.","DOI":"10.1109\/CIP.2014.6844508"},{"key":"ref_21","first-page":"63","article-title":"Towards distributed intelligent sensor and information fusion","volume":"34","author":"Trsek","year":"2015","journal-title":"Mechatronics"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"337","DOI":"10.5194\/jsss-5-337-2016","article-title":"Sensor defect detection in multisensor information fusion","volume":"5","author":"Lohweg","year":"2016","journal-title":"J. Sens. Sens. Syst."},{"key":"ref_23","unstructured":"Fritze, A., M\u00f6nks, U., and Lohweg, V. (2016, January 13\u201315). A support system for sensor and information fusion system design. Proceedings of the 3rd International Conference on System-integrated Intelligence (SysInt 2016), Paderborn, Germany."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Fritze, A., M\u00f6nks, U., and Lohweg, V. (2016, January 6\u20139). A concept for self-configuration of adaptive sensor and information fusion systems. Proceedings of the 21st International Conference on Emerging Technologies & Factory Automation (ETFA 2016), Berlin, Germany.","DOI":"10.1109\/ETFA.2016.7733637"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"M\u00f6nks, U. (2017). Information Fusion Under Consideration of Conflicting Input Signals, Springer. in press.","DOI":"10.1007\/978-3-662-53752-7"},{"key":"ref_26","unstructured":"Ruser, H., and Puente L\u00e9on, F. (2006). Informationsfusion in der Mess- und Sensortechnik, Universit\u00e4tsverlag Karlsruhe."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1002\/ar.a.20112","article-title":"Evolution of the special senses in primates: Past, present, and future","volume":"281A","author":"Dominy","year":"2004","journal-title":"Anat. Rec."},{"key":"ref_28","unstructured":"Farina, A., Ortenzi, L., Ristic, B., and Skvortsov, A. (2014). Academic Press Library in Signal Processing: Communications and Radar Signal Processing, Elsevier."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"8546","DOI":"10.1523\/JNEUROSCI.4527-14.2015","article-title":"Neuro-oscillatory phase alignment drives speeded multisensory response times: An electro-corticographic investigation","volume":"35","author":"Mercier","year":"2015","journal-title":"J. Neurosci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"14423","DOI":"10.1523\/JNEUROSCI.2922-15.2015","article-title":"Multisensory integration reveals temporal coding across a human sensorimotor network","volume":"35","author":"Moore","year":"2015","journal-title":"J. Neurosci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0010-0285(82)90010-X","article-title":"Divided attention: Evidence for coactivation with redundant signals","volume":"14","author":"Miller","year":"1982","journal-title":"Cognit. Psychol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"177","DOI":"10.4064\/fm-20-1-177-190","article-title":"Drei S\u00e4tze \u00fcber die n-dimensionale euklidische Sph\u00e4re","volume":"20","author":"Borsuk","year":"1933","journal-title":"Fundam. Math."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"14423","DOI":"10.1523\/JNEUROSCI.2922-15.2015","article-title":"A topological approach explains multisensory neurons: Electronic response to: Moore IV BD, Bartoli E, Karunakaran S, Kim K. Multisensory Integration Reveals Temporal Coding across a Human Sensorimotor Network","volume":"35","author":"Tozzi","year":"2015","journal-title":"J. Neurosci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Peters, J.F. (2016). Computational Proximity; Intelligent Systems Reference Library, Springer.","DOI":"10.1007\/978-3-319-30262-1"},{"key":"ref_35","unstructured":"Region-Based Borsuk-Ulam Theorem. Available online: https:\/\/arxiv.org\/abs\/1605.02987."},{"key":"ref_36","unstructured":"Beyerer, J., Puente L\u00e9on, F., and Sommer, K.D. (2006). Informationsfusion in der Mess- und Sensortechnik, Universit\u00e4tsverlag Karlsruhe."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Thomas, C. (2010). Sensor Fusion and its Applications, InTech.","DOI":"10.5772\/3302"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Thomas, C. (2011). Sensor Fusion: Foundation and Applications, InTech.","DOI":"10.5772\/680"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.inffus.2011.08.001","article-title":"Multisensor data fusion: A review of the state-of-the-art","volume":"14","author":"Khaleghi","year":"2011","journal-title":"Inf. Fusion"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.inffus.2015.01.002","article-title":"Context-based information fusion: A survey and discussion","volume":"25","author":"Snidaro","year":"2015","journal-title":"Inf. Fusion"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Li, B., Huang, D., and Wang, Z. (2014, January 6\u20138). Refining traffic information for analysis using evidence theory. Proceedings of the 2014 IEEE Military Communications Conference (MILCOM), Baltimore, MD, USA.","DOI":"10.1109\/MILCOM.2014.198"},{"key":"ref_42","unstructured":"Tazari, M.R., Furfari, F., Valero, \u00c1.F., Hanke, S., H\u00f6ftberger, O., Kehagias, D., Mosmondor, M., Wichert, R., and Wolf, P. (2012). Handbook of Ambient Assisted Living, IOS Press."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Isermann, R. (2011). Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems, Springer.","DOI":"10.1007\/978-3-642-12767-0"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2372","DOI":"10.1109\/TIE.2014.2360145","article-title":"Position-offset-based parameter estimation using the adaline NN for condition monitoring of permanent-magnet synchronous machines","volume":"62","author":"Kan","year":"2015","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Doorsamy, W., and Cronje, W.A. (March, January 26). A study on Bayesian spectrum estimation based diagnostics in electrical rotating machines. Proceedings of the 2014 IEEE International Conference on Industrial Technology (ICIT), Busan, Korea.","DOI":"10.1109\/ICIT.2014.6895004"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Murray, C., Asher, M., Lieven, N., Mulroy, M., Ng, C., and Morrish, P. (2014, January 24\u201325). Wind turbine drivetrain health assessment using discrete wavelet transforms and an artificial neural network. Proceedings of the 3rd Renewable Power Generation Conference (RPG 2014), Naples, Italy.","DOI":"10.1049\/cp.2014.0931"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Kwong, C.L., Tim, C.Y., Kwong, W.M., Kit, L.C., and Yan, K.Y. (2014, January 7\u201310). Remarkable life cycle management by effective condition monitoring and assessment system of power transformer in CLP power system. Proceedings of the 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Hong Kong, China.","DOI":"10.1109\/APPEEC.2014.7066192"},{"key":"ref_48","unstructured":"Bechtloff, J., and Isermann, R. (2015). 15. Internationales Stuttgarter Symposium, Springer."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Li, X., Seignez, E., Gruyer, D., and Loonis, P. (2014, January 8\u201311). Evidential model and hierarchical information fusion framework for vehicle safety evaluation. Proceedings of the 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China.","DOI":"10.1109\/ITSC.2014.6957970"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Mukherjee, S., Chattopadhyay, M., and Chattopadhyay, S. (2015, January 12\u201314). A novel encounter based trust evaluation for AODV routing in MANET. Proceedings of the 2015 Applications and Innovations in Mobile Computing (AIMoC), Kolkata, India.","DOI":"10.1109\/AIMOC.2015.7083843"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2829954","article-title":"Integrated intrusion detection and tolerance in homogeneous clustered sensor networks","volume":"11","author":"Chen","year":"2015","journal-title":"ACM Trans. Sens. Netw."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/s10212-013-0195-0","article-title":"Fragile knowledge and conflicting evidence: What effects do contiguity and personal characteristics of museum visitors have on their processing depth?","volume":"29","author":"Specht","year":"2014","journal-title":"Eur. J. Psychol. Educ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1002\/j.1538-7305.1948.tb00917.x","article-title":"A Mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. J."},{"key":"ref_54","unstructured":"Martin, A., Jousselme, A.L., and Osswald, C. (July, January 30). Conflict measure for the discounting operation on belief functions. Proceedings of the 2008 11th International Conference on Information Fusion, Cologne, Germany."},{"key":"ref_55","unstructured":"Martin, A. (2012). Belief Functions: Theory and Applications, Springer."},{"key":"ref_56","unstructured":"Smarandache, F., Han, D., and Martin, A. (2012, January 9\u201312). Comparative study of contradiction measures in the theory of belief functions. Proceedings of the 2012 15th International Conference on Information Fusion (FUSION), Singapore."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Li, J.W., Hu, Z.T., and Zhou, L. (2014, January 28\u201330). Representation method of evidence conflict based on vector measure. Proceedings of the 2014 33rd Chinese Control Conference (CCC), Nanjing, China.","DOI":"10.1109\/ChiCC.2014.6896238"},{"key":"ref_58","unstructured":"Ma, J., Liu, W., and Miller, P. (2012). Scalable Uncertainty Management, Springer."},{"key":"ref_59","unstructured":"Dymova, L., Sevastjanov, P., Tkacz, K., and Cheherava, T. (2014). Artificial Intelligence and Soft Computing, Springer."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Minor, C., and Johnson, K. (2015, January 20\u201324). Reliable sources and uncertain decisions in multisensor systems. Proceedings of the SPIE Sensing Technology + Applications, Baltimore, MD, USA.","DOI":"10.1117\/12.2177389"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/0020-0255(87)90007-7","article-title":"On the dempster-shafer framework and new combination rules","volume":"41","author":"Yager","year":"1987","journal-title":"Inf. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1109\/34.55104","article-title":"The combination of evidence in the transferable belief model","volume":"12","author":"Smets","year":"1990","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_63","unstructured":"Dezert, J., Tchamova, A., Han, D., and Tacnet, J.M. (2014). Advances and Applications of DSmT for Information Fusion, American Research Press (ARP)."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.dss.2015.02.017","article-title":"Combining partially independent belief functions","volume":"73","author":"Chebbah","year":"2015","journal-title":"Dec. Support Syst."},{"key":"ref_65","first-page":"81","article-title":"Review of a mathematical theory of evidence","volume":"5","author":"Zadeh","year":"1984","journal-title":"AI Mag."},{"key":"ref_66","unstructured":"Zadeh, L.A. (1979). On the Validity of Dempster\u2019s Rule of Combination of Evidence, University of California."},{"key":"ref_67","unstructured":"Dezert, J., Tchamova, A., and Deqiang, H. (2015, January 6\u20139). A real Z-box experiment for testing Zadeh\u2019s example. Proceedings of the 2015 18th International Conference on Information Fusion (Fusion), Washington, DC, USA."},{"key":"ref_68","unstructured":"Smarandache, F., and Dezert, J. (2006). Advances and Applications of DSmT for Information Fusion: Collected Works, American Research Press."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0167-9236(99)00084-6","article-title":"Combining belief functions when evidence conflicts","volume":"29","author":"Murphy","year":"2000","journal-title":"Dec. Support Syst."},{"key":"ref_70","unstructured":"Campos, F. (2006). Decision Making in Uncertain Situations: An Extension to the Mathematical Theory of Evidence, Universal-Publishers."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1080\/03081078608934937","article-title":"A set-theoretic view of belief functions: Logical operations and approximations by fuzzy sets","volume":"12","author":"Dubois","year":"1986","journal-title":"Int. J. Gen. Syst."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/S1566-2535(02)00076-3","article-title":"Are alternatives to Dempster\u2019s rule of combination real alternatives?","volume":"3","author":"Haenni","year":"2002","journal-title":"Inf. Fusion"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Haenni, R. (2005, January 25\u201328). Shedding new light on Zadeh\u2019s criticism of Dempster\u2019s rule of combination. Proceedings of the 7th International Conference on Information Fusion, Philadelphia, PA, USA.","DOI":"10.1109\/ICIF.2005.1591951"},{"key":"ref_74","unstructured":"Mahler, R.P.S. (2007, January 9\u201313). Statistical modeling and management of uncertainty: A position paper. Proceedings of the 2007 SPIE Defense and Security Symposium, Orlando, FL, USA."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Klir, G.J., and Wierman, M.J. (1999). Uncertainty-Based Information, Physica-Verlag HD.","DOI":"10.1007\/978-3-7908-1869-7"},{"key":"ref_76","unstructured":"Dirty Secrets in Multisensor Data Fusion. Available online: http:\/\/www.dtic.mil\/docs\/citations\/ADA392879."},{"key":"ref_77","unstructured":"Lohweg, V., and M\u00f6nks, U. (2010). Sensor Fusion and its Applications, InTech."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1109\/JRPROC.1962.288302","article-title":"From circuit theory to system theory","volume":"50","author":"Zadeh","year":"1962","journal-title":"Proc. IRE"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MSP.2007.913700","article-title":"Why gaussianity?","volume":"25","author":"Kiseon","year":"2008","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","article-title":"Rough sets","volume":"11","author":"Pawlak","year":"1982","journal-title":"Int. J. Comput. Inf. Sci."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Pawlak, Z. (1991). Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers.","DOI":"10.1007\/978-94-011-3534-4"},{"key":"ref_82","unstructured":"Orasanu, J.M. (1994). Aviation Psychology in Practice, Ashgate Publishing Group and Gower Technical."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1111\/1468-2370.00046","article-title":"Teamwork: Emerging principles","volume":"2","author":"Salas","year":"2000","journal-title":"Int. J. Manag. Rev."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1002\/(SICI)1099-0771(199903)12:1<71::AID-BDM308>3.0.CO;2-Q","article-title":"Order effects and memory for evidence in individual versus group decision making in auditing","volume":"12","author":"Ahlawat","year":"1999","journal-title":"J. Behav. Dec. Mak."},{"key":"ref_85","unstructured":"Klir, G.J., and Yuan, B. (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall."},{"key":"ref_86","first-page":"1912","article-title":"Algorithms for hardware-based pattern recognition","volume":"2004","author":"Lohweg","year":"2004","journal-title":"EURASIP J. Appl. Signal Process."},{"key":"ref_87","unstructured":"M\u00f6nks, U., Petker, D., and Lohweg, V. (2010). Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer."},{"key":"ref_88","unstructured":"Lohweg, V. (2003). Ein Beitrag zur Effektiven Implementierung Adaptiver Spektraltransformationen in Applikationsspezifische Integrierte Schaltkreise. [Ph.D. Thesis, Technische Universit\u00e4t Chemnitz]."},{"key":"ref_89","unstructured":"Larsen, H.L. (1999, January 10\u201312). Importance weighted OWA aggregation of multicriteria queries. Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS 1999), New York, NY, USA."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1109\/21.87068","article-title":"On ordered weighted averaging aggregation operators in multicriteria decisionmaking","volume":"18","author":"Yager","year":"1988","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_91","unstructured":"Larsen, H.L. (2002, January 1\u20135). Efficient importance weighted aggregation between min and max. Proceedings of the Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Annecy, France."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Voth, K., Glock, S., M\u00f6nks, U., Lohweg, V., and T\u00fcrke, T. (2011, January 7\u20139). Multi-sensory machine diagnosis on security printing machines with two-layer conflict solving. Proceedings of the SENSOR+TEST Conference 2011, Nuremberg, Germany.","DOI":"10.5162\/sensor11\/sp2.1"},{"key":"ref_93","unstructured":"Printing Unit Condition Monitoring: Sensor Data Set. Available online: https:\/\/zenodo.org\/record\/55227."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Bayer, C., Bator, M., M\u00f6nks, U., Dicks, A., Enge-Rosenblatt, O., and Lohweg, V. (2013, January 10\u201313). Sensorless drive diagnosis using automated feature extraction, significance ranking and reduction. Proceedings of the 18th IEEE Internationsl Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy.","DOI":"10.1109\/ETFA.2013.6648126"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Rastegari, A., and Bengtsson, M. (2014, January 22\u201325). Implementation of condition based maintenance in manufacturing industry\u2014A pilot case study. Proceedings of the 2014 IEEE Conference on Prognostics and Health Management (PHM), Cheney, WA, USA.","DOI":"10.1109\/ICPHM.2014.7036377"},{"key":"ref_96","unstructured":"MATLAB\u2014The Language Of Technical Computing. Available online: https:\/\/www.mathworks.com\/products\/matlab\/."},{"key":"ref_97","unstructured":"Machine Learning Group at the University of Waikato. Available online: http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/1656274.1656278","article-title":"The WEKA data mining software: An update","volume":"11","author":"Hall","year":"2009","journal-title":"ACM SIGKDD Explor. Newslett."},{"key":"ref_99","unstructured":"John, G.H., and Langley, P. (1995, January 18\u201320). Estimating continuous distributions in bayesian classifiers. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI\u201995), Montreal, QC, Canada."},{"key":"ref_100","unstructured":"Hempstalk, K., Frank, E., and Witten, I.H. (2008). Machine Learning and Knowledge Discovery in Databases, Springer."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf, B., and Smola, A.J. (2002). Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, MIT Press.","DOI":"10.7551\/mitpress\/4175.001.0001"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"ref_103","unstructured":"Gel\u2019fand, I.M., and Sen, A.C. (1993). Algebra, Birkh\u00e4user."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/11\/1798\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:34:19Z","timestamp":1760211259000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/11\/1798"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,29]]},"references-count":103,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2016,11]]}},"alternative-id":["s16111798"],"URL":"https:\/\/doi.org\/10.3390\/s16111798","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2016,10,29]]}}}