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Modeling of Uncertainty in Dose Assessment using Probability-Possibility Transformation

by Tazid Ali, Palash Dutta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 12
Year of Publication: 2012
Authors: Tazid Ali, Palash Dutta
10.5120/7397-9757

Tazid Ali, Palash Dutta . Modeling of Uncertainty in Dose Assessment using Probability-Possibility Transformation. International Journal of Computer Applications. 48, 12 ( June 2012), 1-6. DOI=10.5120/7397-9757

@article{ 10.5120/7397-9757,
author = { Tazid Ali, Palash Dutta },
title = { Modeling of Uncertainty in Dose Assessment using Probability-Possibility Transformation },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 12 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number12/7397-9757/ },
doi = { 10.5120/7397-9757 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:51.774633+05:30
%A Tazid Ali
%A Palash Dutta
%T Modeling of Uncertainty in Dose Assessment using Probability-Possibility Transformation
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 12
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Uncertainty parameters in risk assessment can be modeled by different ways viz. probability distribution, possibility distribution, belief measure, depending upon the nature and availability of the data. Different transformations exist for converting expression of one form of uncertainty to another form. In this paper, we reviewed the consistency principles as given by different researchers. Then we have carried out dose assessment using probability- possibility transformation satisfying consistency conditions.

References
  1. Ali T., Dutta P., Boruah H., (2011), Comparison of a Case Study of Uncertainty Propagation using Possibility - Probability Transformation, International Journal of Computer application, 35:47-55.
  2. Dubois D., Prade H., Sandri S. (1993): On possibility/ probability transformations, in Fuzzy Logic: State of the Art,R. Lowen and M. Lowen, Eds. Boston, MA: Kluwer,pp. 103-112.
  3. Dubois D., Foulloy L., Mauris G., Prade H. ( 2004): Probability-Possibility Transformation, Triangular Fuzzy Sets and Probabilistic Inequalities, in ReliableComput., 10:273-297
  4. Dutta P., Ali T., (2012), A Hybrid Method to deal with aleatory and epistemic uncertainty in risk assessment, International Journal of Computer Applications, 42 :37-44.
  5. Elena Castineira, Susana Cubillo, Enric Trillas (2007): On the Coherence between Probability and Possibility Measures, International Journal “Information & Applications” 14:303-310.
  6. EPA, U.S. (1989) Risk Assessment Guidance for Superfund. Volume I: Human Health Evaluation Manual (Part A). (EPA/540/1-89/002).O_ce of Emergency and Remedial Response. U.S EPA., Washington D.C.
  7. Mouchaweh M.S., Bouguelid M.S., Billaudel P., Riera B. (2006): Variable Probability-possibility Transformation, 25th European Annual Conference on Human Decision-Making and Manual Control (EAM'06), September 27-29, Valenciennes, France.
  8. Oussalah, M. (2000): On the probability /possibility transformations: a comparative analysis, Int. journal of General system, 29:671-718
  9. Pacheco M. A.C., Vellasco M .B. R. (2009): Intelligent Systems in Oil Field Development under Uncertainty. (Springer-Verlag, Berlin Heidelberg.)
  10. Yamada K. (2001): Probability –Possibility Transformation based on Evidence Theory. IEEE, pp (70-76)
Index Terms

Computer Science
Information Sciences

Keywords

Uncertainty Risk Assessment Probability-possibility Transformation

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