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    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2012 Vol.4(6): 911-916 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.605

Enterprise Architecture Analysis Using AHP and Fuzzy AHP

Mahsa Razavi Davoudi and Kourosh Sheykhvand

Abstract—Enterprise Architecture (EA) as a discipline that manages large amount of models and information about different aspects of the enterprise can support decision making on enterprise-wide issues. In order to provide such support, EA information should be amenable to analysis of various utilities and quality attributes. In this regard, this paper provides an approach based on Fuzzy Analytical Hierarchy Process (AHP) towards EA analysis. It proposes an extended quantitative method of assessing quality attribute achievement of different scenarios using AHP and Fuzzy AHP based on the knowledge and experience of EA experts and domain experts. Due to the uncertainty in the judgments of participants, the crisp pair-wise comparison in the conventional AHP is insufficient and imprecise to capture the right judgments. Therefore, a fuzzy logic is introduced in the pair-wise comparison of AHP in one of steps of the method. The applicability of the proposed approach is demonstrated using a practical case study.

Index Terms—Enterprise architecture analysis, quality attribute, analytical hierarchy process, fuzzy logic, fuzzy AHP.

Mahsa Razavi Davoudi is with the Islamic Azad University, Central Tehran Branch. And also works as IT consultant.
Kourosh Sheykhvand is with the Computer Engineering at Politecnico di Milano.

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Cite: Mahsa Razavi Davoudi and Kourosh Sheykhvand, "Enterprise Architecture Analysis Using AHP and FuzzyAHP," International Journal of Computer Theory and Engineering vol. 4, no. 6, pp. 911-916, 2012.


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