A granular computing framework for approximate reasoning in situation awareness

Author:

D’Aniello Giuseppe,Gaeta Angelo,Loia Vincenzo,Orciuoli Francesco

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Information Systems

Reference43 articles.

1. Ahmad SSS, Pedrycz W (2016) The development of granular rule-based systems: a study in structural model compression. Granul Comput. doi: 10.1007/s41066-016-0022-5

2. Antonelli M, Ducange P, Lazzerini B, Marcelloni F (2016) Multi-objective evolutionary design of granular rule-based classifiers. Granul Comput 1(1):37–58

3. Benincasa G, D’Aniello G, De Maio C, Loia V, Orciuoli F (2015) Towards perception-oriented situation awareness systems. In: Angelov P, Atanassov K, Doukovska L, Hadjiski M, Jotsov V, Kacprzyk J, Kasabov N, Sotirov S, Szmidt E, Zadrony S (eds) Intelligent systems’ 2014, advances in intelligent systems and computing, vol 322. Springer, New York, pp 813–824

4. Cai M, Li Q, Lang G (2016) Shadowed sets of dynamic fuzzy sets. Granul Comput. doi: 10.1007/s41066-016-0029-y

5. Ciucci D (2016) Orthopairs and granular computing. Granul Comput 1(3):159–170. doi: 10.1007/s41066-015-0013-y

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