ABSTRACT Rapid changes in the business environment such us the globalization as well as the incre... more ABSTRACT Rapid changes in the business environment such us the globalization as well as the increasing necessity to make crucial decisions involving a huge range of alternatives in short period of time or even in real time have made that computerized group decision support systems become very useful tools. However in the majority of the cases the panel of experts cannot provide all the information about their preferences due to different reasons such as lack of knowledge, time etc. Therefore different approaches have been presented to deal with the missing preferences in group decision making contexts. In this paper we review and analyse the state-of-the-art research efforts carried out on this topic for incomplete fuzzy preference relations and multiplicative preference relations.
The multi-granular fuzzy linguistic modelling allows the use of several linguistic
term sets in ... more The multi-granular fuzzy linguistic modelling allows the use of several linguistic
term sets in fuzzy linguistic modelling. This is quite useful when the
problem involves several people with di erent knowledge levels since they
could describe each item with di erent precision and they could need more
than one linguistic term set. Multi-granular fuzzy linguistic modelling has
been frequently used in group decision making eld due to its capability of allowing
each expert to express his/her preferences using his/her own linguistic
term set. The aim of this research is to provide insights about the evolution
of multi-granular fuzzy linguistic modelling approaches during the last years
and discuss their drawbacks and advantages. A systematic literature review
is proposed to achieve this goal. Additionally, some possible approaches
that could improve the current multi-granular linguistic methodologies are
presented.
ABSTRACT Rapid changes in the business environment such us the globalization as well as the incre... more ABSTRACT Rapid changes in the business environment such us the globalization as well as the increasing necessity to make crucial decisions involving a huge range of alternatives in short period of time or even in real time have made that computerized group decision support systems become very useful tools. However in the majority of the cases the panel of experts cannot provide all the information about their preferences due to different reasons such as lack of knowledge, time etc. Therefore different approaches have been presented to deal with the missing preferences in group decision making contexts. In this paper we review and analyse the state-of-the-art research efforts carried out on this topic for incomplete fuzzy preference relations and multiplicative preference relations.
The multi-granular fuzzy linguistic modelling allows the use of several linguistic
term sets in ... more The multi-granular fuzzy linguistic modelling allows the use of several linguistic
term sets in fuzzy linguistic modelling. This is quite useful when the
problem involves several people with di erent knowledge levels since they
could describe each item with di erent precision and they could need more
than one linguistic term set. Multi-granular fuzzy linguistic modelling has
been frequently used in group decision making eld due to its capability of allowing
each expert to express his/her preferences using his/her own linguistic
term set. The aim of this research is to provide insights about the evolution
of multi-granular fuzzy linguistic modelling approaches during the last years
and discuss their drawbacks and advantages. A systematic literature review
is proposed to achieve this goal. Additionally, some possible approaches
that could improve the current multi-granular linguistic methodologies are
presented.
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Papers by Raquel Ureña Pérez
term sets in fuzzy linguistic modelling. This is quite useful when the
problem involves several people with di erent knowledge levels since they
could describe each item with di erent precision and they could need more
than one linguistic term set. Multi-granular fuzzy linguistic modelling has
been frequently used in group decision making eld due to its capability of allowing
each expert to express his/her preferences using his/her own linguistic
term set. The aim of this research is to provide insights about the evolution
of multi-granular fuzzy linguistic modelling approaches during the last years
and discuss their drawbacks and advantages. A systematic literature review
is proposed to achieve this goal. Additionally, some possible approaches
that could improve the current multi-granular linguistic methodologies are
presented.
term sets in fuzzy linguistic modelling. This is quite useful when the
problem involves several people with di erent knowledge levels since they
could describe each item with di erent precision and they could need more
than one linguistic term set. Multi-granular fuzzy linguistic modelling has
been frequently used in group decision making eld due to its capability of allowing
each expert to express his/her preferences using his/her own linguistic
term set. The aim of this research is to provide insights about the evolution
of multi-granular fuzzy linguistic modelling approaches during the last years
and discuss their drawbacks and advantages. A systematic literature review
is proposed to achieve this goal. Additionally, some possible approaches
that could improve the current multi-granular linguistic methodologies are
presented.