Grouping DNA sequences with similarity measure and application

Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition

A new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. The proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. The properties of this similaritymeasure are investigated. It is shown that, the proposed measurehas some advantages in c...

A New Similarity Measure among Protein Sequences

Protein sequence analysis is an important tool to decode the logic of life. One of the most important similarity measures in this area is the edit distance between amino acids of two sequences. We believe this criterion should be reconsidered because protein features are probably associated more with small peptide fragments than with individual amino acids. In this paper, we design small patter...

INTERVAL-VALUED INTUITIONISTIC FUZZY SETS AND SIMILARITY MEASURE

In this paper, the problem of measuring the degree of inclusion and similarity measure for two   interval-valued intuitionistic  fuzzy sets is considered. We propose inclusion and similarity measure by using  order on interval-valued intuitionistic fuzzy sets connected with lexicographical order. Moreover, some properties of inclusion and similarity measure and some correlation, between them an...

Ranking of generalized fuzzy numbers using distance measure and similarity measure

A New Similarity/Diversity Measure for the Characterization of DNA Sequences

In this paper, a new similarity/diversity measure is proposed as a new approach to the analysis of sequential data, where useful information can be also obtained by the ordering relationships between the sequence elements. This methodology has been applied to characterize DNA sequences, evaluating their similarity/diversity. The new proposed distance (weighted standardized Hasse distance) is ev...