Publications

Angelo GAETA Publications


2016
Contributo in Atti di convegno
Integrating GSO and SAW ontologies to enable Situation Awareness in Green Fleet Management.
In: 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016 Institute of Electrical and Electronics Engineers Inc. Pag.138-144
ISBN:9781509006328; 9781509006328
2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016
usa 2016
D'Aniello, Giuseppe; Gaeta, Angelo; Loia, Vincenzo; Orciuoli, Francesco
Digital Object Identifier (DOI): 10.1109/COGSIMA.2016.7497801
Codice identificativo ISI: WOS:000390774200024
Codice identificativo SCOPUS: 2-s2.0-84981312035
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2016
Contributo in Atti di convegno
Application of Granular Computing and Three-way decisions to Analysis of Competing Hypotheses.
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings Institute of Electrical and Electronics Engineers Inc. Pag.1650-1655
ISBN:9781509018970
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Budapest, Hungary 2016
D'Aniello, Giuseppe; Gaeta, Angelo; Gaeta, Matteo; Loia, Vincenzo; Reformat, Marek Z.
Versione online
Digital Object Identifier (DOI): 10.1109/SMC.2016.7844475
Codice identificativo ISI: WOS:000402634701096
Codice identificativo SCOPUS: 2-s2.0-85015716476
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2016
Contributo in Atti di convegno
Collective awareness in smart city with fuzzy cognitive maps and fuzzy sets.
In: 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 Institute of Electrical and Electronics Engineers Inc. Pag.1554-1561
ISBN:9781509006250
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
Vancouver, Canada 2016
D'Aniello, Giuseppe; Gaeta, Angelo; Gaeta, Matteo; Loia, Vincenzo; Reformat, Marek Z.
Versione online
Digital Object Identifier (DOI): 10.1109/FUZZ-IEEE.2016.7737875
Codice identificativo ISI: WOS:000392150700216
Codice identificativo SCOPUS: 2-s2.0-85006817550
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