Study on Evidence Reliability Weighting Method Based on Two-tuple Linguistic

DOI

10.2991/icca-16.2016.23How to use a DOI?

Keywords

Evidence reliability, Two-tuple linguistic, Linguistic assessment information, Incomplete linguistic information, Multi-objective programming

Abstract

For evidence reliability weighting under incomplete information, a method is proposed based on two-tuple linguistic. Experts describe the evidence with the indexes which are familiar with, and then assess the evidence based on these indexes and give linguistic assessment information. Subsequently, two-tuple linguistic based on incomplete linguistic information is employed to combine the assessment information from experts and conclude the reliability of the evidence. This method allows the linguistic description of assessment information given by experts, so as to better avoid some problems, such as, information distortion and loss, etc. This method is applicable when incomplete information exists, and able to well solve the practical problem that experts fail to conduct complete assessment due to their limited professional knowledge. This paper illustrates the feasibility and effectiveness of this method with an example.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Hu
AU  - Jianjun Yang
AU  - Jie Yao
PY  - 2016/01
DA  - 2016/01
TI  - Study on Evidence Reliability Weighting Method Based on Two-tuple Linguistic
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 102
EP  - 109
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.23
DO  - 10.2991/icca-16.2016.23
ID  - Hu2016/01
ER  -