We deal with the problem of evaluating and ranking fuzzy quantitities. We call fuzzy quantity any non-normal and non-convex fuzzy set, defined as the union of two, or more, generalized fuzzy numbers. For this purpose we suggest an evaluation defined by a pair index based on “value” & “ambiguity”. Either value or ambiguity depend on two parameters connected the first with the optimistic/pessimistic point of view of the decision maker and the second on an additive measure that can be used to express the decision maker’s preferences
Abstract:-In the field of engineering and economic studies, mathematical manipulation of fuzzy numbe...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
AbstractVarious approaches have been proposed for the comparison or ranking of fuzzy sets. However, ...
We deal with the problem of evaluating and ranking fuzzy quantities. We call fuzzy quantity any non-...
We deal with the problem of evaluating and ranking intuitionistic fuzzy quantitities (IFQs). We cal...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
We deal with the problem of evaluating and ranking intu- itionistic fuzzy quantitities (IFQs). We ca...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
In this paper we present a new general framework to face the problem of evaluating fuzzy quantities....
In this paper, a new method for comparing fuzzy numbers based on a fuzzy probabilistic preference re...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
Abstract:-In the field of engineering and economic studies, mathematical manipulation of fuzzy numbe...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
AbstractVarious approaches have been proposed for the comparison or ranking of fuzzy sets. However, ...
We deal with the problem of evaluating and ranking fuzzy quantities. We call fuzzy quantity any non-...
We deal with the problem of evaluating and ranking intuitionistic fuzzy quantitities (IFQs). We cal...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
We deal with the problem of evaluating and ranking intu- itionistic fuzzy quantitities (IFQs). We ca...
We consider here fuzzy quantities, i.e. fuzzy sets without any hypothesis about normality nor convex...
In this paper we present a new general framework to face the problem of evaluating fuzzy quantities....
In this paper, a new method for comparing fuzzy numbers based on a fuzzy probabilistic preference re...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
Abstract:-In the field of engineering and economic studies, mathematical manipulation of fuzzy numbe...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
AbstractVarious approaches have been proposed for the comparison or ranking of fuzzy sets. However, ...