International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 163 - 182

A dynamic multi-attribute group emergency decision making method considering experts’ hesitation

Authors
Liang Wang1, 2, wangliangg322@hotmail.com, Rosa M. Rodríguez3, rosam.rodriguez@decsai.ugr.es, Ying-Ming Wang1, *, msymwang@hotmail.com
1Decision Sciences Institute, Fuzhou University, No. 2, Xueyuan Road, University Town, Fuzhou 350116, PR China
2Department of Computer Science, University of Jaén, Campus Las Lagunillas, s/n, Jaén, 23071, Spain
3Department of Computer Science and A.I., University of Granada, Periodista Daniel Saucedo Aranda, s/n, Granada, 18071, Spain
*Corresponding author. Tel.:+86 591 22866677; E-mail: msymwang@hotmail.com
Corresponding Author
Ying-Ming Wangmsymwang@hotmail.com
Received 9 March 2017, Accepted 24 September 2017, Available Online 1 January 2018.
DOI
10.2991/ijcis.11.1.13How to use a DOI?
Keywords
Multi-attribute group decision making; Emergency situation; Dynamic evolution; Experts’hesitation
Abstract

Multi-attribute group emergency decision making (MAGEDM) has become a valuable research topic in the last few years due to its effectiveness and reliability in dealing with real-world emergency events (EEs). Dynamic evolution and uncertain information are remarkable features of EEs. The former means that information related to EEs is usually changing with time and the development of EEs. To make an effective and appropriate decision, such an important feature should be addressed during the emergency decision process; however, it has not yet been discussed in current MAGEDM problems. Uncertain information is a distinct feature of EEs, particularly in their early stage; hence, experts involved in a MAGEDM problem might hesitate when they provide their assessments on different alternatives concerning different criteria. Their hesitancy is a practical and inevitable issue, which plays an important role in dealing with EEs successfully, and should be also considered in real world MAGEDM problems. Nevertheless, it has been neglected in existing MAGEDM approaches. To manage such limitations, this study intends to propose a novel MAGEDM method that deals with not only the dynamic evolution of MAGEDM problems, but also takes into account uncertain information, including experts’ hesitation. A case study is provided and comparisons with current approaches and related discussions are presented to illustrate the feasibility and validity of the proposed method.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
163 - 182
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.13How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Liang Wang
AU  - Rosa M. Rodríguez
AU  - Ying-Ming Wang
PY  - 2018
DA  - 2018/01/01
TI  - A dynamic multi-attribute group emergency decision making method considering experts’ hesitation
JO  - International Journal of Computational Intelligence Systems
SP  - 163
EP  - 182
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.13
DO  - 10.2991/ijcis.11.1.13
ID  - Wang2018
ER  -