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...

In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic definitions. Some new formulae to calculate similarity measure, subsethood measure and fuzzy entropy are proposed.

An approach is presented which provides the tune change locations within a set of Irish Traditional tunes. Also provided are semantic labels for each part of each tune within the set. A set in Irish Traditional music is a number of individual tunes played segue. Each of the tunes in the set are made up of structural segments called parts. Musical variation is a prominent characteristic of this ...

Measuring rhythm similarity is relevant for the analysis and generation of music. Existing similarity metrics tend to consider our perception of rhythms as homogeneous in time without discriminating the importance of some regions from others. On a previously reported experiment we observed that measures of similarity may differ given the presence or absence of a pulse inducing sound and the imp...

The single-valued neutrosophic set is a subclass of neutrosophic set, and has been proposed in recent years. An important application for single-valued neutrosophic sets is to solve multicriteria decision-making problems. The key to using neutrosophic sets in decision-making applications is to make a similarity measure between single-valued neutrosophic sets. In this paper, a new method to meas...

Background

Distances and scores are widely used to measure similarity between collections of information, such as preference profiles, belief sets, judgment sets, argument labelings, etc. Defining a function that quantifies the similarity between information sets of logically interrelated information is nontrivial, as witnessed by the shortage of such quantifiers in the literature. We propose a similarity...

We outline a simple way of representing sets of non-normative judgements that makes them look as similar as possible to normative ones. This representation allows us to view certain types of non-normative judgments, such as conjunction fallacies, as arising from a misestimation of the correlation between events, that might arise when decision-makers have no prior information about the frequency...