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Application of Fuzzy Expert system in Estimating LaborProductivity

Deepak Sharma1 , GarimaSolanki 2 , Anjali Upadhyay3

Section:Survey Paper, Product Type: Journal-Paper
Vol.7 , Issue.4 , pp.35-39, Dec-2020


Online published on Dec 31, 2020


Copyright © Deepak Sharma, GarimaSolanki, Anjali Upadhyay . 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: Deepak Sharma, GarimaSolanki, Anjali Upadhyay, “Application of Fuzzy Expert system in Estimating LaborProductivity,” World Academics Journal of Engineering Sciences, Vol.7, Issue.4, pp.35-39, 2020.

MLA Style Citation: Deepak Sharma, GarimaSolanki, Anjali Upadhyay "Application of Fuzzy Expert system in Estimating LaborProductivity." World Academics Journal of Engineering Sciences 7.4 (2020): 35-39.

APA Style Citation: Deepak Sharma, GarimaSolanki, Anjali Upadhyay, (2020). Application of Fuzzy Expert system in Estimating LaborProductivity. World Academics Journal of Engineering Sciences, 7(4), 35-39.

BibTex Style Citation:
@article{Sharma_2020,
author = {Deepak Sharma, GarimaSolanki, Anjali Upadhyay},
title = {Application of Fuzzy Expert system in Estimating LaborProductivity},
journal = {World Academics Journal of Engineering Sciences},
issue_date = {12 2020},
volume = {7},
Issue = {4},
month = {12},
year = {2020},
issn = {2347-2693},
pages = {35-39},
url = {https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2203},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2203
TI - Application of Fuzzy Expert system in Estimating LaborProductivity
T2 - World Academics Journal of Engineering Sciences
AU - Deepak Sharma, GarimaSolanki, Anjali Upadhyay
PY - 2020
DA - 2020/12/31
PB - IJCSE, Indore, INDIA
SP - 35-39
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract :
Fuzzy expert system have been utilized to tackle complex issues productively for the situation where data accessible is in spellbinding structure as opposed to quantitative number. This examination has intended to utilize Fuzzy expert system to assess the work creation rates through joining the impact of subjective and quantitative factor. In this examination, to assess the Work Efficiency in any industry we have utilized wide information assortment, poll study and by talking industry personals. This task works fundamental expects to distinguish the variables influencing the Work Profitability in any industry. The 50 components of assessing Work Efficiency are browsed the modern tasks. The review was done through wide information assortment, poll overview and specialists sees which are then positioned through RII scale. The positioning is done through RII and afterward it is utilized for choosing highest level components which are answerable for Work Efficiency.

Key-Words / Index Term :
Labor Productivity, fuzzy logic, simulation, Prediction, decision-making, soft computing, MATLAB

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