There are many applications in business process management that require measuring the similarity between business processes, such as workflow retrieval and process mining, etc. However, most existing approaches and models cannot represent variable constraints and achieve data oriented workflow retrieval of considering different QoS requirements, and also fail to allow users to express arbitrary...

background: accurate identification of sheep nematodes is a critical point in epidemiological studies and monitoring of drug resistance in flocks. however, due to a close morphological similarity between the eggs and larval stages of many of these nematodes,such identification is not a trivial task. there are a number of studies showing that molecular targets in ribosomal dna (internal transcri...

This study suggested a new similarity measured method that based on the map distance operator to solve before similarity measurement between interval-valued fuzzy numbers. In addition, some properties of the proposed similarity measure have been demonstrated, and 19 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of...

Why are some pairs of objects (or events) perceived to be more similar to each other than other pairs? A computational level theory of perceived similarity is presented that extends previous geometric and set-theoretic formulations. Like previous approaches, the current account posits that the similarity of two objects is a function of the common and distinctive features of the two objects. Unl...

The task of assessing similarity between data sets is common in hydrological modelling. While this has been widely researched for temporal data sets, the similarity between spatial patterns has been largely ignored. This has been due to a lack of spatial pattern data. Today there is widespread use of distributed hydrological models and increasing availability of observed spatial patterns. These...

Scientific datasets often consist of complex data types such as images. Mining such data presents interesting issues related to semantics. In this paper, we explore the research issues in mining data from the field of nanotechnology. More specifically, we focus on a problem that relates to image comparison of material nanostructures. A significant challenge here relates to the notion of similar...

Scientific datasets often consist of complex data types such as images. Mining such data presents interesting issues related to semantics. In this paper, we explore the research issues in mining data from the field of nanotechnology. More specifically, we focus on a problem that relates to image comparison of material nanostructures. A significant challenge here relates to the notion of similar...

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...

Context-aware computing applications often perform an assessment of similarity between the user’s current situation and the predefined or learned situations in order to trigger appropriate adaptation rules. Because future situations are often not exactly matching with past ones (e.g., time continuously changes), the assessment of similarity between situations is not a straightforward task. This...

in this study, genetic diversity of 30 accessions of the fennel from different cities of iran and other asian and european countries were assessed by using 20 selective aflp primers. totally, from 1127 observed bands, 250 bands were polymorph. e11-m20 primer with 20 bands, also e46-m35 and etg-m20 primers with 8 bands indicated the maximum and minimum numbers of polymorphism, respectively. acco...