IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2000
AbstractThe aim of this paper is to present a decision sup-port system model with two important ... more AbstractThe aim of this paper is to present a decision sup-port system model with two important characteristic: 1) mobile technologies are applied in the decision process and 2) the set of alternatives is not fixed over time to address dynamic decision situations in which the set of solution ...
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.
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2000
AbstractThe aim of this paper is to present a decision sup-port system model with two important ... more AbstractThe aim of this paper is to present a decision sup-port system model with two important characteristic: 1) mobile technologies are applied in the decision process and 2) the set of alternatives is not fixed over time to address dynamic decision situations in which the set of solution ...
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 Nacho Perez
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.