Choice, similarity, and the context theory of classification.

Measuring the Similarity of Trajectories Using Fuzzy Theory

In recent years, with the advancement of positioning systems, access to a large amount of movement data is provided. Among the methods of discovering knowledge from this type of data is to measure the similarity of trajectories resulting from the movement of objects. Similarity measurement has also been used in other data mining methods such as classification and clustering and is currently, an...

American I'sychoIQ8ic:a1AsIociation. Inc:. Choice, Similarity, and the Context Theory of Classification

Rediefining the Government-University Relationship using the Principal-Agent Theory

Government–university relationship has always been challenging. Many theories have emerged to explain this relationship. Among them, the principal-agent theory (PAT) has mainly developed in recent decades. This research aims to utilize PAT as a theoretical framework to redefine the government-university relationship to discover the insights agency theory can offer in this context. From the view...

On the use of Heronian means in a similarity classifier

This paper introduces new similarity classifiers using the Heronian mean, and the generalized Heronian mean operators. We examine the use of these operators at the aggregation step within the similarity classifier. The similarity classifier was earlier studied with other operators, in particular with an arithmetic mean, generalized mean, OWA operators, and many more. The two classifiers here ar...

Classification based on 3-similarity

Similarity concept, finding the resemblance or classifying some groups of objects and study their common properties has been the interest of many researchers. Basically, in the studies the similarity between two objects or phenomena, 2-similarity in our words, has been discussed. In this paper, we consider the case when the resemblance or similarity among three objects or phenomena of a set, 3-...