Fuzzy logic-based Student Placement Evaluation and Analysis

Meenu Gupta; Rakesh Kumar; Abhishek Arora; Jasveen Kaur

doi:10.1109/icac3n56670.2022.10074547

Fuzzy logic-based Student Placement Evaluation and Analysis

Meenu Gupta
, Rakesh Kumar
, Abhishek Arora
, Jasveen Kaur

Chandigarh University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

ICT and AI have been widely used in the field of education. Non-classical methods like fuzzy logic are increasingly being used for evaluation. The primary objective of this analysis is to propose and support the usage of fuzzy logic in the process of evaluating test results for placements in engineering colleges with Computer Science. The contributing attributes that have been brought into consideration for the research are CGPA, Aptitude, English, and Coding score. A sample analysis is provided in which both the average method and the fuzzy logic are applied and compared for evaluation. The outcomes from this case study are presented and reviewed. The flexibility, transparency, and objectivity of using fuzzy logic as an evaluation method provide it an edge over the other classical methods and hence a new evaluation method is proposed.

Original language	English
Title of host publication	Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
Editors	Vishnu Sharma, Vishnu Sharma, Manjeet Singh, Manjeet Singh, Jaya Sinha
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1503-1507
Number of pages	5
ISBN (Electronic)	9781665474368
DOIs	https://doi.org/10.1109/icac3n56670.2022.10074547
State	Published - 2022
Externally published	Yes
Event	4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022 - Greater Noida, India Duration: 16 Dec 2022 → 17 Dec 2022

Publication series

Name	Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

Conference

Conference	4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
Country/Territory	India
City	Greater Noida
Period	16/12/22 → 17/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Assessment
Evaluation
Fuzzy Logic
Linguistic Variable
Placement

Access to Document

10.1109/icac3n56670.2022.10074547

Cite this

Gupta, M., Kumar, R., Arora, A., & Kaur, J. (2022). Fuzzy logic-based Student Placement Evaluation and Analysis. In V. Sharma, V. Sharma, M. Singh, M. Singh, & J. Sinha (Eds.), Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022 (pp. 1503-1507). (Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icac3n56670.2022.10074547

Gupta, Meenu ; Kumar, Rakesh ; Arora, Abhishek et al. / Fuzzy logic-based Student Placement Evaluation and Analysis. Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022. editor / Vishnu Sharma ; Vishnu Sharma ; Manjeet Singh ; Manjeet Singh ; Jaya Sinha. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1503-1507 (Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022).

@inproceedings{cb86778cebbd46d39599889c5fc357f5,

title = "Fuzzy logic-based Student Placement Evaluation and Analysis",

abstract = "ICT and AI have been widely used in the field of education. Non-classical methods like fuzzy logic are increasingly being used for evaluation. The primary objective of this analysis is to propose and support the usage of fuzzy logic in the process of evaluating test results for placements in engineering colleges with Computer Science. The contributing attributes that have been brought into consideration for the research are CGPA, Aptitude, English, and Coding score. A sample analysis is provided in which both the average method and the fuzzy logic are applied and compared for evaluation. The outcomes from this case study are presented and reviewed. The flexibility, transparency, and objectivity of using fuzzy logic as an evaluation method provide it an edge over the other classical methods and hence a new evaluation method is proposed.",

keywords = "Assessment, Evaluation, Fuzzy Logic, Linguistic Variable, Placement",

author = "Meenu Gupta and Rakesh Kumar and Abhishek Arora and Jasveen Kaur",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022 ; Conference date: 16-12-2022 Through 17-12-2022",

year = "2022",

doi = "10.1109/icac3n56670.2022.10074547",

language = "אנגלית",

series = "Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1503--1507",

editor = "Vishnu Sharma and Vishnu Sharma and Manjeet Singh and Manjeet Singh and Jaya Sinha",

booktitle = "Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022",

address = "ארצות הברית",

}

Gupta, M, Kumar, R, Arora, A & Kaur, J 2022, Fuzzy logic-based Student Placement Evaluation and Analysis. in V Sharma, V Sharma, M Singh, M Singh & J Sinha (eds), Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022. Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1503-1507, 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, Greater Noida, India, 16/12/22. https://doi.org/10.1109/icac3n56670.2022.10074547

Fuzzy logic-based Student Placement Evaluation and Analysis. / Gupta, Meenu; Kumar, Rakesh; Arora, Abhishek et al.
Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022. ed. / Vishnu Sharma; Vishnu Sharma; Manjeet Singh; Manjeet Singh; Jaya Sinha. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1503-1507 (Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy logic-based Student Placement Evaluation and Analysis

AU - Gupta, Meenu

AU - Kumar, Rakesh

AU - Arora, Abhishek

AU - Kaur, Jasveen

PY - 2022

Y1 - 2022

N2 - ICT and AI have been widely used in the field of education. Non-classical methods like fuzzy logic are increasingly being used for evaluation. The primary objective of this analysis is to propose and support the usage of fuzzy logic in the process of evaluating test results for placements in engineering colleges with Computer Science. The contributing attributes that have been brought into consideration for the research are CGPA, Aptitude, English, and Coding score. A sample analysis is provided in which both the average method and the fuzzy logic are applied and compared for evaluation. The outcomes from this case study are presented and reviewed. The flexibility, transparency, and objectivity of using fuzzy logic as an evaluation method provide it an edge over the other classical methods and hence a new evaluation method is proposed.

AB - ICT and AI have been widely used in the field of education. Non-classical methods like fuzzy logic are increasingly being used for evaluation. The primary objective of this analysis is to propose and support the usage of fuzzy logic in the process of evaluating test results for placements in engineering colleges with Computer Science. The contributing attributes that have been brought into consideration for the research are CGPA, Aptitude, English, and Coding score. A sample analysis is provided in which both the average method and the fuzzy logic are applied and compared for evaluation. The outcomes from this case study are presented and reviewed. The flexibility, transparency, and objectivity of using fuzzy logic as an evaluation method provide it an edge over the other classical methods and hence a new evaluation method is proposed.

KW - Assessment

KW - Evaluation

KW - Fuzzy Logic

KW - Linguistic Variable

KW - Placement

UR - https://www.scopus.com/pages/publications/85152198965

U2 - 10.1109/icac3n56670.2022.10074547

DO - 10.1109/icac3n56670.2022.10074547

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85152198965

T3 - Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

SP - 1503

EP - 1507

BT - Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

A2 - Sharma, Vishnu

A2 - Singh, Manjeet

A2 - Sinha, Jaya

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

Y2 - 16 December 2022 through 17 December 2022

ER -

Gupta M, Kumar R, Arora A, Kaur J. Fuzzy logic-based Student Placement Evaluation and Analysis. In Sharma V, Sharma V, Singh M, Singh M, Sinha J, editors, Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1503-1507. (Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022). doi: 10.1109/icac3n56670.2022.10074547

Fuzzy logic-based Student Placement Evaluation and Analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this