• DocumentCode
    120893
  • Title

    Fuzzy logic based Intelligent Question Paper Generator

  • Author

    Kamya, Suraj ; Sachdeva, Monika ; Dhaliwal, Navdeep ; Singh, Sushil

  • Author_Institution
    Dept. of Electron. & Commun., Lovely Prof. Univ., Phagwara, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    1179
  • Lastpage
    1183
  • Abstract
    Examinations play a vital role in deciding the quality of students. Generating an effective question paper is a task of great importance for any educational institute. Conventionally question papers are developed manually. In this paper, a fuzzy logic based model is proposed for autonomous paper generation, using MATLAB®. Comparative analysis with classical method is done and fuzzy model is found to be more reliable, fast and logical.
  • Keywords
    educational computing; fuzzy logic; MATLAB; autonomous paper generation; educational institute; fuzzy logic based intelligent question paper generator; fuzzy logic based model; Cognition; Conferences; Fuzzy logic; Fuzzy sets; Mathematical model; Reliability; Skeleton; A/D; Classical Method; E/M/D; Fuzzy logic; IQPGS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779494
  • Filename
    6779494
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=120893