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Computational Intelligence in Data Mining—Volume 2 pp 363–371Cite as

Implementation of Operating System Selection Using AHP-Entropy Model

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 411))

Abstract

Operating system selection problem is to choose the optimum OS based on user preferences on different factors. Functionality is one such attribute selected from software quality model which comprises several other sub factors preferred to analyse the quality of system. Analysis is done using AHP approach for weight calculations and results are validated using Entropy method on Functionality factors of Software quality model ISO 9126. This analysis helps in decision making for users which concerns about how well outcomes of any execution are achieved. A model AHP-Entropy is proposed which can be used to rank alternatives on both subjective and quantitative factors.

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Authors and Affiliations

  1. Amity University, Sec-125, Noida, U.P., India

    Neha Yadav, S.K. Divyaa & Sanjay Kumar Dubey

Authors
  1. Neha Yadav
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  2. S.K. Divyaa
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  3. Sanjay Kumar Dubey
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Corresponding author

Correspondence to Neha Yadav .

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Editors and Affiliations

  1. Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

    Durga Prasad Mohapatra

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Yadav, N., Divyaa, S., Dubey, S.K. (2016). Implementation of Operating System Selection Using AHP-Entropy Model. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_34

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  • DOI: https://doi.org/10.1007/978-81-322-2731-1_34

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2729-8

  • Online ISBN: 978-81-322-2731-1

  • eBook Packages: EngineeringEngineering (R0)

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