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

TítuloA dynamic multi-attribute group emergency decision making method considering experts’ hesitation
Tipo de publicaciónRevista Internacional
Año de publicación2018
AutoresL. Wang, R. M. Rodríguez and Y-M. Wang
RevistaInternational Journal of Computational Intelligence Systems
Fecha Publicación2018
EditorialAtlantis press
Lugar de publicaciónNetherland
ISSN Number1875-6883

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 aMAGEDM
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.

Índice de impacto 
Hot paper 
Altamente citado