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.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=120893
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