In the last years, the increasing urbanization has constrained to face the dramatic growth of the urban waste production and the consequent socio-economical and environmental impact. The relevance of finding an optimal waste management further increases when it involves hazardous materials, since they represent a vulnerable infrastructure sector for homeland defense. Although there is a general agreement on the best strategies for solving urban garbage problem, an opportune waste management seems far due to its intrinsic complexity arising from necessity of dealing with several factors which are often in conflict each other. Over the years, several computerized waste management systems, including deterministic models and fuzzy approaches, have been developed aimed at addressing this complex problem. However, all these approaches do not consider relevant factors which could affect decision policies related to waste treatment, i.e., the rapid evolutions and modifications occurring in a complex scenario such as the urban environment. In order to overcome this drawback, this paper presents an innovative waste management simulation system based on a new timed cognitive inference engine, named Timed Automata based Fuzzy Cognitive Map (TAFCM). A TAFCM is able to simulate the dynamic features of a waste management environment thanks to its temporal benefits due to its ability of dealing with the concept of time in a direct way. As shown in the experimental section, TAFCMs represent a suitable and efficient methodology to manage the waste production problem. © 2012 IFIP International Federation for Information Processing.
Managing urban waste collection through timed automata based fuzzy cognitive maps / Acampora, Giovanni; Loia, Vincenzo; Vitiello, Autilia. - 7465 LNCS:(2012), pp. 501-515. (Intervento presentato al convegno International Conference on Availability, Reliability, and Security (CD-ARES 2012)) [10.1007/978-3-642-32498-7_38].
Managing urban waste collection through timed automata based fuzzy cognitive maps
Acampora Giovanni;Vitiello Autilia
2012
Abstract
In the last years, the increasing urbanization has constrained to face the dramatic growth of the urban waste production and the consequent socio-economical and environmental impact. The relevance of finding an optimal waste management further increases when it involves hazardous materials, since they represent a vulnerable infrastructure sector for homeland defense. Although there is a general agreement on the best strategies for solving urban garbage problem, an opportune waste management seems far due to its intrinsic complexity arising from necessity of dealing with several factors which are often in conflict each other. Over the years, several computerized waste management systems, including deterministic models and fuzzy approaches, have been developed aimed at addressing this complex problem. However, all these approaches do not consider relevant factors which could affect decision policies related to waste treatment, i.e., the rapid evolutions and modifications occurring in a complex scenario such as the urban environment. In order to overcome this drawback, this paper presents an innovative waste management simulation system based on a new timed cognitive inference engine, named Timed Automata based Fuzzy Cognitive Map (TAFCM). A TAFCM is able to simulate the dynamic features of a waste management environment thanks to its temporal benefits due to its ability of dealing with the concept of time in a direct way. As shown in the experimental section, TAFCMs represent a suitable and efficient methodology to manage the waste production problem. © 2012 IFIP International Federation for Information Processing.File | Dimensione | Formato | |
---|---|---|---|
Managing urban waste collection through timed automata based fuzzy cognitive maps.pdf
non disponibili
Tipologia:
Documento in Post-print
Licenza:
Accesso privato/ristretto
Dimensione
906.23 kB
Formato
Adobe PDF
|
906.23 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.