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A new approach in dealing with conflict criteria and complex interrelationships using simulation and artificial neural network

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dc.contributor.author M. R. Zoolfakar
dc.contributor.author R. Norman
dc.contributor.author E. Mesbahi
dc.date.accessioned 2016-04-11T07:11:12Z
dc.date.available 2016-04-11T07:11:12Z
dc.date.issued 2015-11
dc.identifier.citation Zoolfakar, M R. 2015. “A NEW APPROACH IN DEALING WITH CONFLICT CRITERIA AND COMPLEX INTERRELATIONSHIPS USING SIMULATION AND” 10 (16): 7175–78. en_US
dc.identifier.issn 1819-6608
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/12671
dc.description M. R. Zoolfakar - UniKL MIMET. This article index by SCOPUS en_US
dc.description.abstract Ship design is complex due to the high degree of interaction among the many disciplines e.g. Naval Architecture, Mechanical and Electrical engineering. In preliminary design stage, major decisions on the dimensions and components should be confirmed. A holistic understanding of the engineering economics is crucial factor in order to make decisions correctly. Thus the aims of this paper is to develop a methodology for selecting a prescriptive combination set of the specific component values that produced the values of the given criteria; and a set of results produced from the above prescriptive values. The multi objective optimisation software created manages to solve many conflicting criteria with complex interrelationships not limited to ship design. It is using combination of mathematical models with LabVIEW and Artificial Neural Network. The benefit of the software is not limited for the ship-owner, shipbuilding companies and shipyard operators, but also very useful for the engineers as an option tool when dealing with Conflict Criteria and Complex Interrelationships problems. en_US
dc.publisher ARPN Journal of Engineering and Applied Sciences en_US
dc.subject conflict criteria en_US
dc.subject complex interrelationships en_US
dc.subject artificial neural network en_US
dc.title A new approach in dealing with conflict criteria and complex interrelationships using simulation and artificial neural network en_US
dc.type Article en_US


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