This paper discusses the interval fuzzy Geometric Programming problems where

the exponents of decision variables in the objective function ,the cost and the constraint coefficients,

and right-hand sides are interval fuzzy data...

. In this paper, first we use the Dp,q -distance for the point estimation of process capability index Cpm based on fuzzy data and use this estimation for constructing confidence interval for Cpm and present a membership function for Cpm. A numerical example has...

Fuzzy data is considered as an imprecise type of

data with a source of uncertainty. Fuzzy numbers allow us to

model uncertainty of data in an easy way which justifies the

increasing interest on theoretical and practical aspects...

This research aims at proposing a new method for discovering frequent temporal itemsets in continuous subsets of a dataset with quantitative transactions. It is important to note that although these temporal itemsets may ...

, first, a new method for ranking fuzzy numbers using Dp;q metric was proposed. We used this metric for separating fuzzy data to separate classes and then placed fuzzy data in certain classes. Then, we have defined an extension of the empirical...

Abstract— One of the main problems when handling the real

world problems is the uncertainty degree of input data.

Uncertainty factor can be a result of random variables

existence, incomplete or inaccurate ...

This paper presents fuzzy clustering algorithm for fuzzy data

based on alpha-cuts. A new suitable definition for distance

between two arbitrary fuzzy numbers based on alpha-cuts is

proposed. We then reformulate fuzzy c...

This paper presents a new approach to clustering fuzzy data, called Extensional Tree (ET) clustering algorithm by defining a dendrogram over fuzzy data and using a new metric between fuzzy numbers based on α-cuts. All the similar previous methods...

cluster

tree with inconsistency coefficient or other useful measures. All

the similar previous methods extended FCM (Fuzzy Clustering

Method) to support fuzzy data. On contrary, the present work

is based on hierarchical method...