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Reseach Article

Uncertainty Modeling in Human Health Risk Assessment using Fuzzy Set

by Tabendra Nath Das, Palash Dutta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 12
Year of Publication: 2013
Authors: Tabendra Nath Das, Palash Dutta
10.5120/14169-2287

Tabendra Nath Das, Palash Dutta . Uncertainty Modeling in Human Health Risk Assessment using Fuzzy Set. International Journal of Computer Applications. 82, 12 ( November 2013), 24-28. DOI=10.5120/14169-2287

@article{ 10.5120/14169-2287,
author = { Tabendra Nath Das, Palash Dutta },
title = { Uncertainty Modeling in Human Health Risk Assessment using Fuzzy Set },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 12 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number12/14169-2287/ },
doi = { 10.5120/14169-2287 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:34.529148+05:30
%A Tabendra Nath Das
%A Palash Dutta
%T Uncertainty Modeling in Human Health Risk Assessment using Fuzzy Set
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 12
%P 24-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Risk assessment is an important and popular aid in decision making process. Risk assessment is generally performed using models and model is a function of some parameters. Sometimes model parameters are tainted with uncertainty due to lack of knowledge, imprecision, vagueness, small sample sizes etc. To represent this type of uncertainty generally triangular fuzzy numbers or trapezoidal fuzzy numbers are used. In this paper, we use Gaussian and Cauchy fuzzy numbers to represent uncertainty. Fusion of Gaussian and Cauchy fuzzy number is discussed and then human health risk assessment is carried out in this setting.

References
  1. Ashraf M. A. , Suzan A. , Donald C. W. (2007) Gaussian Versus Cauchy Membership Functions in Fuzzy PSO, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA.
  2. Bojadziev G. and Bojadziev, M. (1995), Fuzzy set, Fuzzy logic, application, (Singapore: world Scientific. )
  3. Dutta P. , Boruah H. and Ali T. (2011), Fuzzy arithmetic with and without using -cut method: a comparative study", International Journal of Latest Trends in Computing, 2 (1): 99-108.
  4. Dutta P. , Ali T. (2012), Uncertainty Modeling in Risk Analysis: A Fuzzy Set Approach, International Journal of Computer Applications, 43 (17): 35-39.
  5. Dutta P. , (2013), Fusion of Cauchy and Triangular Fuzzy Numbers: Application in Human Health Risk Assessment, Elixir Applied Mathematics, 63: 18166-18171.
  6. Jang J. S. R. , Sun C. T. , Mizutani E. (1996) Neuro-Fuzzy and Soft Computing, Prentice-Hall.
  7. US EPA. (2001). Risk Assessment Guidance for Superfund, Volume I: Human Health Evaluation Manual (Part E, Supplemental Guidance for Dermal Risk Assessment). Office of Emergency and Remedial Response, EPA/540/R/99/005, Interim, Review Draft. United States Environmental Protection Agency.
Index Terms

Computer Science
Information Sciences

Keywords

Human Health Risk Assessment Uncertainty Fuzzy Set Gaussian & Cauchy Fuzzy Numbers.