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Reseach Article

Article:Capability Evaluation of Embedded Systems, Cell Phone Case Study

by Hamid Reza Naji, Hossein Farahmand, Masoud RashidiNejad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 10
Year of Publication: 2010
Authors: Hamid Reza Naji, Hossein Farahmand, Masoud RashidiNejad
10.5120/1526-1696

Hamid Reza Naji, Hossein Farahmand, Masoud RashidiNejad . Article:Capability Evaluation of Embedded Systems, Cell Phone Case Study. International Journal of Computer Applications. 9, 10 ( November 2010), 41-47. DOI=10.5120/1526-1696

@article{ 10.5120/1526-1696,
author = { Hamid Reza Naji, Hossein Farahmand, Masoud RashidiNejad },
title = { Article:Capability Evaluation of Embedded Systems, Cell Phone Case Study },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 10 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number10/1526-1696/ },
doi = { 10.5120/1526-1696 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:16.782964+05:30
%A Hamid Reza Naji
%A Hossein Farahmand
%A Masoud RashidiNejad
%T Article:Capability Evaluation of Embedded Systems, Cell Phone Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 10
%P 41-47
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a generic technique for the evaluation and comparison of the capability of Embedded Systems (ESs) as decision-making aid. The major issue in this area is conducted by comparing and evaluating success factors and the risks associated with each ES. In this regards decision-making modelling concepts are based on the identification of capability factors and finding mathematical models to describe or to prescribe best choice. 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.

References
  1. Ossadnik, W. and Lange, O. 1999 Theory and Methodology, AHP-based evaluation of AHP-Software, European Journal of Operational Research, 118, pp. 578-588.
  2. Zadeh. L. A. 1965 Fuzzy Sets, Information and Control, 8, pp. 338-353.
  3. Yager, R. R. 1981 A New Methodology for Ordinal Multi-Objective Decisions Based on Fuzzy Sets, Decision Sciences, 12:4, pp. 589-600.
  4. Zimmermann H. J. 1987 Fuzzy Sets, Decision Making, and Expert Systems, Kluwer Academic Publisher.
  5. Bellman R, Zadeh L. 1970 Decision-making in a fuzzy environment. Manage Sci 17:141–164
  6. Saaty, TL. 1997 A scaling method for priorities in hierarchical structure. J Math Psychol 15:234–281
  7. Flood RL, Jackson MC. 1991 Creative problem solving. Total systems intervention.Wiley, Chichester, pp 14
  8. Yager RR 1988 An order-weighted averaging aggregation operators in multi-criteria decisions. IEEE Trans Syst Man Cybern 8(1):183–190
  9. Di Nuovo, A., Palesi,M., Patti, M. 2006 Fuzzy Decision making in Embedded System Design, Proceedings of the 4th International Conference on Hardware/Software Codesign and System Synthesis, p. 223-228 October 22- 25, Seoul, Korea
  10. Ascia, G., Catania, V., Palesi. M. 2005 multi-objective genetic approach for system-level exploration in parameterized systems-on-a-chip. IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, 24(4):635--645
  11. Chakraborty, B., Chen, T., Mitra , T., Roychoudhury, T. 2006 Handling Constraints in Multi- Objective GA for Embedded System Design, Proceedings of the 19th International Conference on VLSI Design held jointly with 5th International \ Conference on Embedded Systems Design, p.305-310, January 03-07
  12. Eisenring, M., Thiele, l., Zitzler, E., 2000 Conflicting Criteria in Embedded System Design, IEEE Design & Test, v.17 n.2, p.51-59
  13. Eyerman, S., Eeckhout, L., Bosschere, K.2006 Efficient design space exploration of high performance embedded out-of-order processors, Proceedings of the conference on Design, automation and test in Europe: Proceedings, March 06-10, Munich, Germany
  14. Fornaciari, W., Sciuto, D., Silvano, C., Zaccaria, V. 2002 A sensitivity-based design space exploration methodology for embedded systems. Design Automation for Embedded Systems, 7:7--33
  15. Givargis, T., Vahid, F., Platune 2002 A tuning framework for system-on-a-chip platforms, IEEE Trans. on Computer Aided Design of Integrated Circuits and Systems, 21(11):1317—327
  16. Wang, L. 1997 A Course in Fuzzy Systems and Control 1997 Prentice Hall, chap. 2.
  17. Dombi, J. 1982 A general class of fuzzy operators, the DeMorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators. Fuzzy Sets Syst 8:149–163
  18. Mousavi, A., Bahmanyar, M., Sarhadi, M. Rashidinejad, M. 2007 A technique for advanced manufacturing systems capability evaluation and comparison (ACEC), International Journal of Advanced Manufacturing Technology.
  19. O’Hagan M. 2000 A fuzzy Decision Maker, Technical Report in Fuzzy Logic, http://wwwfuzzysys.com/fdmtheor.pdf.
  20. Nikoukaran, J. 1999 Using software to select simulation modelling packages, PhD thesis, Brunel University.
  21. Saaty, T. 1980 The analytic hierarchy process, planning, priority setting and resource allocation.” McGraw-Hill, pp 1–85.
Index Terms

Computer Science
Information Sciences

Keywords

Embedded Systems Capability Evaluation Multiple Criteria Decision-Making Fuzzy Logic Cell Phone