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Decision-Making Model Based on Capability Factors for Embedded Systems

  • Conference paper
Communication and Networking (FGCN 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 120))

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Abstract

In this paper a decision-making modelling concept based on the identification of capability factors and finding mathematical models to describe or to prescribe best choice for evaluation of embedded systems (ES) is presented. The techniques utilize a combination of subjective and qualitative assumptions and mathematical modelling techniques. The digital cell phone as a sample of ES is analyzed as case study to show the application of the proposed approach. The results show the high performance of this methodology for capability evaluation of such systems.

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Author information

Authors and Affiliations

  1. Computer Department, Islamic Azad University, Kerman Branch, Kerman, Iran

    Hamid Reza Naji

  2. Electrical Engineering Department, Shahid Bahonar University, Kerman, Iran

    Hossein Farahmand & Masoud RashidiNejad

Authors
  1. Hamid Reza Naji
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  2. Hossein Farahmand
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  3. Masoud RashidiNejad
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. University of Western Macedonia, Kozani, Greece

    Thanos Vasilakos

  3. Faculty of Information Science and Electrical Engineering, Kyushu University, 6-10-1 Hakozaki, 812-8581, Fukuoka, Japan

    Kouichi Sakurai

  4. The University of Alabama, Tuscaloosa, AL, USA

    Yang Xiao

  5. Sun Yat-sen University, 510275, Guangzhou, P.R. China

    Gansen Zhao

  6. University of Warsaw & Infobright Inc., Poland

    Dominik Ślęzak

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© 2010 Springer-Verlag Berlin Heidelberg

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Naji, H.R., Farahmand, H., RashidiNejad, M. (2010). Decision-Making Model Based on Capability Factors for Embedded Systems. In: Kim, Th., Vasilakos, T., Sakurai, K., Xiao, Y., Zhao, G., Ślęzak, D. (eds) Communication and Networking. FGCN 2010. Communications in Computer and Information Science, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17604-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-17604-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17603-6

  • Online ISBN: 978-3-642-17604-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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