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Authors: Yixing Shan ; Lili Yang and Roy Kalawsky

Affiliation: Loughborough University, United Kingdom

ISBN: 978-989-8425-31-7

Keyword(s): Multiple Attribute Decision Making (MADM), Evidential Reasoning (ER), Open systems, Architecture assessment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Soft Computing

Abstract: A key issue in successful developing complex systems is how to assess the performance of architecture model during the development process. Traditional assessment techniques are subjective and usually highlight weaknesses rather than provide quantitative and objective results. In addition, the increasing complexity of systems nowadays; has led to a move from federated systems which were closed and target unique to embedded open systems, which extends new criteria to be considered in the assessment. This paper provides an insight into how Evidential Reasoning (ER) approach as the specific Multi-Attribute Decision Making (MADM) method can be used as a type of system assessment technique. The theory and implementation details of ER with an initial case study are presented.

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Paper citation in several formats:
Shan, Y.; Yang, L. and Kalawsky, R. (2010). EXPLORATION OF QUANTITATIVE ASSESSMENT IN SYSTEMS ARCHITECTURE USING EVIDENTIAL REASONING.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 146-152. DOI: 10.5220/0003062901460152

@conference{icec10,
author={Yixing Shan. and Lili Yang. and Roy Kalawsky.},
title={EXPLORATION OF QUANTITATIVE ASSESSMENT IN SYSTEMS ARCHITECTURE USING EVIDENTIAL REASONING},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={146-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003062901460152},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - EXPLORATION OF QUANTITATIVE ASSESSMENT IN SYSTEMS ARCHITECTURE USING EVIDENTIAL REASONING
SN - 978-989-8425-31-7
AU - Shan, Y.
AU - Yang, L.
AU - Kalawsky, R.
PY - 2010
SP - 146
EP - 152
DO - 10.5220/0003062901460152

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