1,720,972 research outputs found
ON CLUSTER ANALYSIS BASED ON FUZZY RELATIONS BETWEEN SPATIAL DATA
No full textMethods like DBSCAN are widely used in the analysis of spatial data. These methods are based on the neighborhood relations which use distance between points. However, these neighborhood relations consider to have at least a certain number of neighbors within a definite boundary. In this proposed work such a neighborhood analysis is done by using the benefits of fuzzy sets theory. Usage of fuzzy logic gives more sensitive and realistic results. In this paper, Fuzzy Joint Points (FJP) based on this theory is handled and sonic theoretical properties used in neighborhood analysis are investigated
A NEW C x K - NEAREST NEIGHBOR LINKAGE APPROACH TO THE CLASSIFICATION PROBLEM
No full textA new C x K nearest neighbor algorithm with a new point of view is proposed. In this algorithm K neighbors from each of the classes are taken into account instead of the well-known K neighbor algorithm in which only the total number of neighbors are considered. After experiments with well-known classification datasets, we conclude that K -NN, weighted K -NN, and average linkage neighbors results are between the single-linkage and complete-linkage algorithms. After the evaluation of the average accuracy results, we realized that the best results are obtained for the values of K between 1 and 10. On the other hand, it is determined that using single-linkage strategy provides high values of the results at most of the times
An Extension of Fuzzy L-R Data Classification with Fuzzy OWA Distance
No full textK-Nearest neighbor (K-NN) algorithm is a classification algorithm widely used in machine learning, statistical pattern recognition, data mining, etc. Ordered weighted averaging (OWA) distance based CxK nearest neighbor algorithm is a kind of K-NN algorithm based on OWA distance. In this study, the aim is two-fold: i) to perform the algorithm with two different fuzzy metric measures, which are Diamond distance, and weighted dissimilarity measure composed by spread distances and center distances, and ii) to evaluate the effects of different metric measures. K neighbors are searched for each class, and OWA distance is used to aggregate the information. The OWA distance can behave as intercluster distance approaches single, complete, and average linkages by using different weights. The experimental study is performed on well-known three classification data sets (iris, glass, and wine). N-fold cross-validation is used for the evaluation of performances. It is seen that single linkage approach by using two different metric measures has significant different results
Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review
No full textThe aim of this paper has twofold: i) to explore the fundamental concepts and methods of neighborhood-based cluster analysis with its roots in statistics and decision theory, ii) to provide a compact tool for researchers. Since DBSCAN is the first method which uses the concept of neighborhood and it has many successors, we started our discussion by exploring it. Then we compared some of the successors of DBSCAN algorithm and other crisp and fuzzy methods on the basis of neighborhood strategy
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Air Cargo Competition with Modern Layout Methods
No full textThe global demand for air transport is rising in both current and emerging markets for the transport of goods. The air transport industry has become more dependent on technology, so it requires the adoption of modern layouts that keep pace with this development, because we are not far from our global surroundings. Therefore, leading companies are working on developing and evaluating their marketing strategy for survival, and this is done by keeping pace with the rapid changes in the world of air transport because it is a dynamic and competitive environment. That is why companies realize the complexity of the external and internal competitive situation. Therefore, air ports are considered an economic power, therefore, countries seek to improve and develop services and facilitate procedures in all joints of their airports, including air cargo. In the case of the presented paper, we worked on preparing the appropriate ground by developing proposals and recommendations, and then working on proposing internal and external layouts for the air cargo area. The aim, that to clarify the aspects of competition in air freight and develop its joints through modern layouts and designs that reduce global warming through green designs that give comfort in the work environment. This is done through the use of ENVI-met software, which provides solutions by providing 2D and 3D designs. One of the advantages of this program is addresses the problem, of global warming during the long daylight hours of concrete structures, roads, especially in the summer, which the heat load increases. And the heat emissions are reflected at sunset, this reflected increase the global warming in this area. These modern layouts and the ground services provided, that well be environmentally friendly are considered a strength factor in the competitive environment. Through practical experience, improving air freight in the case of the Baghdad International Airport does not depend only on the use of modern layouts. There are several factors are involved that contribute to developing and improving the performance of air freight and making it a pivotal center for transporting goods between countries of the world. One of the most important factors is the financial aspect, the planning aspect, the creative human resources that implement the plan, and the method of exploiting the available land spaces that help planners implement the modern development vision to improve performance
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Optimizing Thyroid Disease Classification: A Fuzzy OWA Distance-Based CxK-NN Approach
No full textInternational Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 16-18, 2024 -- Istanbul Tech Univ, Canakkale, TURKEYFuzzy OWA Distance-Based CxK-NN (F-OWA-CKNN) Algorithm is an advanced version of the OWA Distance-Based CxK-NN Algorithm. It's a fuzzy classification technique that relies on Fuzzy LR Data. This approach specifically looks at K neighbors from each class to make its classifications. It utilizes the OWA Distance metric to calculate the distance between a fuzzy point being classified and its K-nearest class. A fuzzy metric is chosen to measure dissimilarity, and this metric is constructed from both spread distances and center distances, incorporating weights for enhanced accuracy. Thyroid dysfunction has led to the exploration of alternative methods that go beyond traditional statistical approaches. One such promising avenue is the integration of fuzzy logic with advanced classification techniques. In this study, F-OWA-CKNNmethod is used to optimize thyroid disease classification. Bycombining the Fuzzy OrderedWeighted Averaging (OWA) concept with a distance-based CxK-NN approach, we aim to enhance the accuracy and reliability of thyroid dysfunction diagnosis. F-OWA-CKNN method is applied to real-life thyroid data comprising 80 samples collected in 2014. To enhance the robustness of our results, we employed the bootstrapping technique, increasing the sample size from 80 to 1000. The increased sample size facilitates a more robust evaluation of the proposed approach. Setting the value of k to 3, we observed accuracy rates of 79% for the single linkage approach, 70% for the average linkage approach, and 60% for the complete linkage approach.Canakkale Onsekiz Mart Uni
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