In this paper I present and defend a definition of vagueness, and draw out some consequences of accepting this definition. §1 asks what we should properly expect of a definition of vagueness, and §2 reviews existing definitions. §3 explains a key background notion necessary to an understanding of the definition to be presented here. §4 presents this definition, and §5 explains its advantages. §...

Closeness measures are crucial to clustering methods. In most traditional clustering methods, the closeness between data points or clusters is measured by the geometric distance alone. These metrics quantify the closeness only based on the concerned data points' positions in the feature space, and they might cause problems when dealing with clustering tasks having arbitrary clusters shapes and ...

The present study examined how the network science measure known as closeness centrality (which measures the average distance between a node and all other nodes in the network) influences lexical processing. In the mental lexicon, a word such as CAN has high closeness centrality, because it is close to many other words in the lexicon. Whereas, a word such as CURE has low closeness centrality be...

We argue that orthodox tools for defining concepts in the framework of description logic should often be augmented with constructors that could allow definitions in terms of similarity (or closeness). We present a corresponding logical formalism with the binary operator ‘more similar or closer to X than to Y ’ and investigate its computational behaviour in different distance (or similarity) spa...

Curve matching is a fundamental problem that occurs in many applications. In this paper, we study the problem of measuring partial similarity between curves. Specifically, given two curves, we wish to maximize the total length of subcurves that are close to each other, where closeness is measured by the Fréchet distance, a common distance measure for curves. The resulting maximal length is call...

We adapt the Higher Criticism (HC) goodness-of-fit test to measure closeness between word-frequency tables. apply this authorship attribution challenges, where goal is identify author of a document using other documents whose known. The method simple yet performs well without handcrafting and tuning; reporting accuracy at state art level in various current challenges. As an inherent side effect...

Adaptive network models arise when describing processes in a wide range of fields and are characterized by some specific effects. One them is mixed dynamics, which the third type chaos addition to conservative dissipative types. In this work, we consider more complex connections between elements—simplex, or higher-order adaptive interactions. Using numerical simulation methods, analyze various ...

A simple formulation to integrate various biological data is presented based on the concept of links, which are classified into three types: factual, similarity, and biological. Factual links are crossreference information of entries among molecular biology databases. Similarity links are neighbor information of sequence entries computed by sequence similarity search programs. Biological links ...

Abstract The similarity measures are essential concepts to discuss the closeness between sets. Fuzzy and intuitionistic fuzzy dealt with incomplete inconsistent data more efficiently. With time in decision-making theory, a complex frame of environment that occurs cannot be specified entirely by these A generalization like Pythagorean set can handle such situation applicability this attracted re...