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Treatment of uncertainty in hydroiogic modeling: Handling conflict using Dempster-Shafer theory of evidence
conference contribution
posted on 2023-05-23, 09:18 authored by Zargar, A, Sadiq, R, Naser, B, Faisal KhanFaisal KhanThe study of uncertainty has become an integral part of water resources research due to its impacts on decision-making. In addition to traditional probabilistic approaches, studies increasingly incorporate newer methods such as the fuzzy set theory for a more comprehensive treatment of uncertainty. Such methods are capable of addressing uncertainties such as vagueness and ambiguity for which probabilistic methods have either been found inappropriate or impossible. The Dempster-Shafer theory (DST) of evidence can handle different types of uncertainty in a formal unified framework. This work uses DST to reduce conflict in hydroiogic data by fusion. Data fusion is carried out using three DST combination rules: Dempster-Shafer, Yager and the sixth proportional conflict redistributing rule (PCR6). This paper is concluded with a number of recommendations regarding the use of DST framework in general, as well as some remarks about the outcome from each combination rule.
History
Publication title
Proceedings of the Annual Conference of the Canadian Society for Civil Engineering 2010, CSCE 2010Editors
E. El-SalakawyPagination
317-326ISBN
9781617389061Department/School
Australian Maritime CollegePublisher
Canadian Society for Civil EngineeringPlace of publication
CanadaEvent title
Annual Conference of the Canadian Society for Civil Engineering 2010, CSCE 2010Event Venue
Winnipeg, Manitoba, CanadaDate of Event (Start Date)
2010-06-09Date of Event (End Date)
2010-06-12Repository Status
- Restricted