Data fusion to synthesise quantitative evidence, value and socio-economic factors: a framework and example of Dempster-Shafer theory

Conference item

Abstract:: This paper presents a framework and example of how fuzzy data fusion processes can support decision making for energy efficiency in historic buildings. Dempster-Shafer (DS) theory is a framework of reasoning that deals with uncertainty, allowing one to combine evidence from different sources. DS theory can handle conflicting information, with the aim to provide a representation of the appropriateness and uncertainty for each option. The theory starts with a set of possibilities: for example, ...
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Files:: Orr, SA, (2019) - Energy Efficiency in Historic Buildings pape...

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Institution:

University of Oxford

Division:

SSD

Department:

SOGE

Oxford college:

St Cross College

Role:

Author

Publisher:: Uppsala University
Host title:: Conference Report: The 3rd International Conference on Energy Efficiency in Historic Buildings
Journal:: 3rd International Conference on Energy Efficiency in Historic Buildings More from this journal
Pages:: 163-171
Publication date:: 2019-03-11
Acceptance date:: 2018-06-13
ISBN:: 9789151908380

Keywords:: decision making

conflict resolution

artificial intelligence

data fusion

uncertainty
Pubs id:: pubs:857875
UUID:: uuid:eb1f4f71-eda2-4fc4-a60f-3eb4709a11c6
Local pid:: pubs:857875
Source identifiers:: 857875
Deposit date:: 2018-06-18

Copyright holder:: Scott Orr
Notes:: This paper presented at the 3rd International Conference on Energy Efficiency in Historic Buildings, Visby, Sweden, September 26-27, 2018.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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