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A Rough Set Based Total Quality Management Approach in Higher Education

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Complex System Modelling and Control Through Intelligent Soft Computations

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 319))

Abstract

Contrary to the popular belief that TQM is a poor fit in higher education sector, this research proposes a Rough Set Theory (RST) based model for grading educational institution using TQM parameters. It is a well established fact that TQM needs major reshaping before it can be effectively applied in higher education sector for quality assessment and improvement. This chapter takes a balance view by employing RST approach in TQM architecture and eliminating the much publicized shortcomings of TQM approach. RST theory has advantage of working on a small size of data containing vague and imprecise information which is widely prevalent in education sector. A carefully drafted questionnaire, containing nine attributes, is used for generating research data from the different stake holders in higher educational institutes of India. Nine modified condition attributes are selected on the basis of literature survey and expert views which are subsequently treated with RST analysis. One decision parameter ‘Grade’ depends on nine independent condition attributes. The resultant model contains only two significant attributes namely, ‘Effective Learning and Teaching’ and ‘Administrative Setup’ which can effectively determine the grading of educational institutions. Results of this study may be utilized to improve the higher education quality through appropriate grading mechanism based on self assessment of quality parameters by the different stakeholders of the education sector. The study confirms that TQM can be useful to enhance both quasi-academic areas such as ‘administrative setup’ along with core academic area ‘effective teaching and learning’.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Informations, Benha University, Benha, Egypt

    Ahmad Taher Azar

  2. Faculty of Computer Science, Shri Mata Vaishno Devi University, Katra, (J & K), India

    Renu Vashist

  3. Faculty of Management, Shri Mata Vaishno Devi University, Katra, (J & K), India

    Ashutosh Vashishtha

Authors
  1. Ahmad Taher Azar
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  2. Renu Vashist
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  3. Ashutosh Vashishtha
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Correspondence to Ahmad Taher Azar .

Editor information

Editors and Affiliations

  1. Department of Engineering Design and Mathematics, University of the West of England, Bristol, United Kingdom

    Quanmin Zhu

  2. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Azar, A.T., Vashist, R., Vashishtha, A. (2015). A Rough Set Based Total Quality Management Approach in Higher Education. In: Zhu, Q., Azar, A. (eds) Complex System Modelling and Control Through Intelligent Soft Computations. Studies in Fuzziness and Soft Computing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-12883-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-12883-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12882-5

  • Online ISBN: 978-3-319-12883-2

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