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Fuzzified Value of the Accidental Conditon on the Road using Fuzzy Expert System

Published on April 2018 by Gopal Singh, Avaneesh Kumar
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IPR, Future Technology, Optimization and Management
Foundation of Computer Science USA
NCIFTOM2016 - Number 1
April 2018
Authors: Gopal Singh, Avaneesh Kumar
493c6e05-ecf4-4803-a3d7-60e796f87261

Gopal Singh, Avaneesh Kumar . Fuzzified Value of the Accidental Conditon on the Road using Fuzzy Expert System. IPR, Future Technology, Optimization and Management. NCIFTOM2016, 1 (April 2018), 21-25.

@article{
author = { Gopal Singh, Avaneesh Kumar },
title = { Fuzzified Value of the Accidental Conditon on the Road using Fuzzy Expert System },
journal = { IPR, Future Technology, Optimization and Management },
issue_date = { April 2018 },
volume = { NCIFTOM2016 },
number = { 1 },
month = { April },
year = { 2018 },
issn = 0975-8887,
pages = { 21-25 },
numpages = 5,
url = { /proceedings/nciftom2016/number1/29190-1606/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 IPR, Future Technology, Optimization and Management
%A Gopal Singh
%A Avaneesh Kumar
%T Fuzzified Value of the Accidental Conditon on the Road using Fuzzy Expert System
%J IPR, Future Technology, Optimization and Management
%@ 0975-8887
%V NCIFTOM2016
%N 1
%P 21-25
%D 2018
%I International Journal of Computer Applications
Abstract

This paper displays a model of fuzzified accidental control system, which is composed by utilizing the idea of fuzzy expert system for the fuzzified accidental condition out and about. Here trapezoidal and triangular membership functions are utilized for input variables and trapezoidal membership function for output variables. This model will give characteristic outcomes to fuzzified accidental conditions and the outcomes from this system will likewise help for the general population , how to drive on the road Assist a contextual analysis is likewise considered to bolster this system.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Fuzzy Validation Expert System Linguistic Variables Weighted Average Method(wam).