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2018 | OriginalPaper | Buchkapitel

Optimal Academic Ranking of Students in a Fuzzy Environment: A Case Study

verfasst von : Satish S. Salunkhe, Yashwant Joshi, Ashok Deshpande

Erschienen in: Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Verlag: Springer International Publishing

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Abstract

Traditionally, academic ranking of students’ performance is based on test score which can be interpreted in linguistic terms such as ‘very good’, ‘good’, ‘poor’, ‘very poor’ with varying degree of certainty attached to each description. There could be several students in a school having ‘very poor’ performance with varying degree of certainty. The authorities would certainly like to improve students’ academic performance based on their ranking. The case study relates to the combination of Zadeh-Deshpande formalism with Bellman-Zadeh method to arrive at an optimal ranking of especially ‘very poor’ students based on well-defined performance shaping factors.

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Vorheriges Kapitel Decomposable Graphical Models on Learning, Fusion and Revision

Nächstes Kapitel Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies

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Titel: Optimal Academic Ranking of Students in a Fuzzy Environment: A Case Study
verfasst von: Satish S. Salunkhe
Yashwant Joshi
Ashok Deshpande
Verlag: Springer International Publishing
Buch: Recent Developments and the New Direction in Soft-Computing Foundations and Applications
Print ISBN: 978-3-319-75407-9

Electronic ISBN: 978-3-319-75408-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75408-6_35

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