Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering

Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making

Authors
Hai Wang, Zeshui Xu
Corresponding Author
Hai Wang
Available Online October 2015.
DOI
10.2991/seee-15.2015.31How to use a DOI?
Keywords
multi criteria group decision making; linguistic fuzzy rough set; linguistic hedges; resemblance relation
Abstract

Linguistic variables usually take the form of a base term modified by a hedge in qualitative evaluations of multi criteria decision making problems. In this paper, the linguistic fuzzy rough set is presented to objectively model non-inclusive hedges, such as more or less and roughly, with semantics. Based on the predefined resemblance relation, hedges can be represented by some compact formulae whenever the linguistic term set is uniformed distributed or non-uniformed distributed. Then a corresponding multi criteria group decision making approach is supplied for potential application and illustrated by a problem of evaluating new energy technologies.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
October 2015
ISBN
978-94-6252-119-3
ISSN
2352-5401
DOI
10.2991/seee-15.2015.31How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Hai Wang
AU  - Zeshui Xu
PY  - 2015/10
DA  - 2015/10
TI  - Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making
BT  - Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SP  - 125
EP  - 129
SN  - 2352-5401
UR  - https://doi.org/10.2991/seee-15.2015.31
DO  - 10.2991/seee-15.2015.31
ID  - Wang2015/10
ER  -