University of Tasmania
Browse

File(s) not publicly available

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 Khan
The 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 2010

Editors

E. El-Salakawy

Pagination

317-326

ISBN

9781617389061

Department/School

Australian Maritime College

Publisher

Canadian Society for Civil Engineering

Place of publication

Canada

Event title

Annual Conference of the Canadian Society for Civil Engineering 2010, CSCE 2010

Event Venue

Winnipeg, Manitoba, Canada

Date of Event (Start Date)

2010-06-09

Date of Event (End Date)

2010-06-12

Repository Status

  • Restricted

Socio-economic Objectives

Environmentally sustainable mineral resource activities not elsewhere classified