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Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence

Sangita A. Jaju1 , Sudhir B Jagtap2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 860-865, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.860865

Online published on Dec 31, 2018

Copyright © Sangita A. Jaju, Sudhir B Jagtap . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sangita A. Jaju, Sudhir B Jagtap, “Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.860-865, 2018.

MLA Style Citation: Sangita A. Jaju, Sudhir B Jagtap "Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence." International Journal of Computer Sciences and Engineering 6.12 (2018): 860-865.

APA Style Citation: Sangita A. Jaju, Sudhir B Jagtap, (2018). Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence. International Journal of Computer Sciences and Engineering, 6(12), 860-865.

BibTex Style Citation:
@article{Jaju_2018,
author = {Sangita A. Jaju, Sudhir B Jagtap},
title = {Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {860-865},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3429},
doi = {https://doi.org/10.26438/ijcse/v6i12.860865}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.860865}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3429
TI - Fuzzy Logic: A method to Develop Human like Capabilities for Artificial Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Sangita A. Jaju, Sudhir B Jagtap
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 860-865
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

Education of forthcoming century is entirely based on technology. This technology enhances the power and style of learning. This leads to either achieve the desired aim or precede in the learning. The technology based education always offers dynamic adaptation to individual student. However the revolution in learning process has changed the entire traditional concept of learning. E-learning provides a personalized educational environment, which may give complexity in learning and decision making process. Researcher had attempted to focus on this complexity and endeavors to find out more appropriate method for its illustration by taking review of various published research articles. This paper throws light on fuzzy inference system and its mechanism by applying fuzzy logic soft computing tool. Researcher has taken care of measure attribute of fuzzy logic for getting minimal and uncertain data. It also revels prediction in e-learning, empowerment of individual and behavioral learner for making it ease and providing cost benefit to ratio.

Key-Words / Index Term

Fuzzy logic, Learning Style, Learning model, visual, verbal, behavioral

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