TY - JOUR
T1 - Analysis of fuzzy logic systems types 1 and 2 in identifying of IUU fishing and transshipment
T2 - 6th International Conference on Marine Technology, SENTA 2021
AU - Masroeri, A. A.
AU - Aisjah, Aulia Siti
AU - Agam, Vedanta
AU - Pradenta, May
AU - Samudya, Muh Arif
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2022/2/4
Y1 - 2022/2/4
N2 - The identification system for illegal, unreported, and unregulated (IUU) fishing and transshipment of incidents is one effort as early warning and it can be adopted by the Indonesian ministry of fisheries and marine affairs. The system has been developed using several methods. One of them is the artificial neural networks (ANN) have been used, but it is several weaknesses when AIS data is lost. The system able to identify in missing data in a short duration of time only. The development of a system for IUU identification proposed using a fuzzy logic system (FLS). The IUU identification system consists of subsystems: (i) missing data prediction, (ii) anomaly trajectory decision, (iii) IUU selection, and (iv) IUU decision. The performance of FLS is compared between fuzzy type 1 and type 2. The system tested using data of IUU occurrences waters in high frequency. Both SLF type 1 and type 2 are able to give result in very good accuracy for IUU fishing and transshipment identification.
AB - The identification system for illegal, unreported, and unregulated (IUU) fishing and transshipment of incidents is one effort as early warning and it can be adopted by the Indonesian ministry of fisheries and marine affairs. The system has been developed using several methods. One of them is the artificial neural networks (ANN) have been used, but it is several weaknesses when AIS data is lost. The system able to identify in missing data in a short duration of time only. The development of a system for IUU identification proposed using a fuzzy logic system (FLS). The IUU identification system consists of subsystems: (i) missing data prediction, (ii) anomaly trajectory decision, (iii) IUU selection, and (iv) IUU decision. The performance of FLS is compared between fuzzy type 1 and type 2. The system tested using data of IUU occurrences waters in high frequency. Both SLF type 1 and type 2 are able to give result in very good accuracy for IUU fishing and transshipment identification.
UR - http://www.scopus.com/inward/record.url?scp=85124850032&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/972/1/012060
DO - 10.1088/1755-1315/972/1/012060
M3 - Conference article
AN - SCOPUS:85124850032
SN - 1755-1307
VL - 972
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012060
Y2 - 27 November 2021
ER -
