In this paper we propose a general procedure to represent a fuzzy set that may be non-normal and/or non-convex. This representation will be offered by an interval and a crisp value. This idea is useful either in optimization and decision making problems or in defuzzification step of a fuzzy inference system. This proposal, depending on some parameters, either offers new methods or contains previous ones present in literature
It is known that interval-valued fuzzy sets [m(x)] provide a more adequate description of expert unc...
Standard (type-1) fuzzy sets were introduced to resemble human reasoning in its use of approximate i...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
In this paper we deal with the problem of evaluating an interval-valued fuzzy set, that is a fuzzy q...
We consider here fuzzy quantities, i.e., fuzzy sets without any hypothesis about normality nor conv...
[[abstract]]This paper presents a new method for fuzzy decision making based on ranking generalized ...
A fuzzy set is a mathematical model of a collection of elements (objects) with fuzzy boundaries, whi...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
Fuzzy Logic (FL) facilitates modeling of within-the-event uncertainty. The crisp logic models the '...
AbstractVarious approaches have been proposed for the comparison or ranking of fuzzy sets. However, ...
This book contains the successful invited submissions to a Special Issue of Symmetry in the subject ...
Abstract — Interval-valued fuzzy sets provide a more adequate description of uncertainty than tradit...
It is known that interval-valued fuzzy sets [m(x)] provide a more adequate description of expert unc...
Standard (type-1) fuzzy sets were introduced to resemble human reasoning in its use of approximate i...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
In this paper we deal with the problem of evaluating an interval-valued fuzzy set, that is a fuzzy q...
We consider here fuzzy quantities, i.e., fuzzy sets without any hypothesis about normality nor conv...
[[abstract]]This paper presents a new method for fuzzy decision making based on ranking generalized ...
A fuzzy set is a mathematical model of a collection of elements (objects) with fuzzy boundaries, whi...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
Fuzzy Logic (FL) facilitates modeling of within-the-event uncertainty. The crisp logic models the '...
AbstractVarious approaches have been proposed for the comparison or ranking of fuzzy sets. However, ...
This book contains the successful invited submissions to a Special Issue of Symmetry in the subject ...
Abstract — Interval-valued fuzzy sets provide a more adequate description of uncertainty than tradit...
It is known that interval-valued fuzzy sets [m(x)] provide a more adequate description of expert unc...
Standard (type-1) fuzzy sets were introduced to resemble human reasoning in its use of approximate i...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...