Design of a pilot-centered visual decision-support system for airborne collision avoidance

2012 ◽  
Author(s):  
Emre Koyuncu ◽  
Ugur Ozdemir ◽  
Guliz Tokadli ◽  
Ziya Bahcivan ◽  
Gokhan Inalhan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Collision Avoidance ◽  
Support System

Decision support system for collision avoidance of vessels

2014 ◽  
Vol 25 ◽  
pp. 369-378 ◽  
Author(s):  
Ugur Simsir ◽  
Mehmet Fatih Amasyalı ◽  
Mert Bal ◽  
Ugur Bugra Çelebi ◽  
Seniz Ertugrul
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Collision Avoidance ◽  
Support System

scholarly journals Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

2013 ◽  
Vol 25 (6) ◽  
pp. 555-564 ◽  
Author(s):  
Tanja Brcko ◽  
Jelenko švetak
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Collision Avoidance ◽  
Support System ◽  
Human Error ◽  
Human Factor ◽  
Fuzzy Reasoning ◽  
Scientific Discipline ◽  
The World ◽  
Collision Avoidance System

Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

Planning Emergency Manoeuvres

2008 ◽  
Vol 62 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Rafal Szlapczynski
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Collision Avoidance ◽  
Support System ◽  
Visualization Tool ◽  
Collision Risk ◽  
The Real ◽  
Target Behaviour ◽  
Avoidance Manoeuvre

The paper addresses the issue of planning emergency manoeuvres and re-planning ship trajectories in case of unpredicted target behaviour. It introduces two methods. The first is responsible for monitoring other ships parameters, estimating the probability of illegal target behaviour and re-planning own trajectory in case of unpredicted events. The second is a visualization tool that enables the navigator to assess collision risk in an encounter situation and choose a collision avoidance manoeuvre if necessary. This tool is based on the Collision Threat Parameters Area display and offers new features: fuzzy sectors of forbidden speed and course values and the possibility to use any given ship domain. Both methods are fast enough to be applied in the real-time decision-support system.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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