2011Unpublished venueRequires access

Application of Case-based reasoning for ship turning emergency to prevent collision

Deepak Dixena, Baisakhi Chakraborty, Narayan Chandra Debnath

Open publisher page 9 citations

Abstract

Ships and naval vessels are significant expensive properties of the nation. They transport expensive goods and often contribute to country's security. They may face many critical emergency cases in sea that lead to accidents, collision, ship overturn leading to a destructive effect on life, property and environment. One of the major reasons for ship accidents is due to human error. To reduce accidents and ship collisions during ocean navigation, application of automated navigational aids in terms of intelligent decision taking facilities are on the rise. Case-based reasoning (CBR) is a problem solving technique that solves present problem taking reference from variety of similar problem situations. It can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, a Case-based reasoning system for handling ship turning problem has been proposed. The system's accuracy depends on the efficient retrieval of possible solutions, and the proposed algorithm improves the effectiveness of solving the similarity to a new case at the other hand.

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What this paper is about

Ships and naval vessels are significant expensive properties of the nation. They transport expensive goods and often contribute to country's security. They may face many critical emergency cases in sea that lead to accidents, collision, ship overturn leading to a destructive effect on life, property and environment. One of the major reasons for ship accidents is due to human error. To reduce accidents and ship collisions during ocean navigation, application of automated navigational aids in terms of intelligent decision taking facilities are on the rise. Case-based reasoning (CBR) is a problem solving technique that solves present problem taking reference from variety of similar problem situations. It can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, a Case-based reasoning system for handling ship turning problem has been proposed. The system's accuracy depends on the efficient retrieval of possible solutions, and the proposed algorithm improves the effectiveness of solving the similarity to a new case at the other hand.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Ships and naval vessels are significant expensive properties of the nation. They transport expensive goods and often contribute to country's security. They may face many critical emergency cases in sea that lead to accidents, collision, ship overturn leading to a destructive effect on life, property and environment. One of the major reasons for ship accidents is due to human error. To reduce accidents and ship collisions during ocean navigation, application of automated navigational aids in terms of intelligent decision taking facilities are on the rise. Case-based reasoning (CBR) is a problem solving technique that solves present problem taking reference from variety of similar problem situations. It can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, a Case-based reasoning system for handling ship turning problem has been proposed. The system's accuracy depends on the efficient retrieval of possible solutions, and the proposed algorithm improves the effectiveness of solving the similarity to a new case at the other hand.

Key concepts: Case-based reasoning, Collision, Computer science, Order (exchange), Similarity (geometry), Variety (cybernetics), Reasoning system, Operations research

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