Important advances have been made in the fuzzy quantification field. Nevertheless, some problems remain when we face the decision of selecting the most convenient model for a specific application. In the literature, several desirable adequacy properties have been proposed, but theoretical limits impede quantification models from simultaneously fulfilling every adequacy property that has been de...

Web Mining is becoming essential to support the web administrators and web users in multi-ways such as information retrieval; website performance management; web personalization; web marketing and website designing. Due to uncontrolled exponential growth in web data, knowledge base retrieval has become a very challenging task. The one viable solution to the problem is the merging of conventiona...

Data Mining operations and approaches are the improvement over the statistical methods that enables a user to perform the future analysis based on current dataset. One of such analysis provided by data mining approaches is the predication based analysis. In this present work, the heart disease prediction system is designed. The heart disease prediction is actually an expert system application w...

Recent advances in DNA microarray technology have made it possible to measure the expression level of several thousand of genes simultaneously. The gene expression profiles obtained from microarray techniques have provided the opportunity of early diagnosis of cancer with the use of supervised learning algorithms. As a simple, effective and nonparametric classification method, k-Nearest Neighbo...

I Acknowledgments IV List of Figures X List of Tables XIV List of Abbreviations XV Publications Arising from This Work XVIII Chapter 1: Introduction .................................................................................................. 1 1.1 Aims, Significance, Novelty ........................................................................... 6 1.1.1 Aims .............................

2 Zadeh-type fuzzy probability The paper deals with two methods of a fuzzification of the Borel field of events and too the probability measure. The first approach generalizes the Zadeh definition of a crisp probability of fuzzy event. The second method is based on the Yager definition of a fuzzy probability of fuzzy event. The theoretical results obtained can be applied to modeling stochastic ...

ÐA fuzzy decision tree is constructed by allowing the possibility of partial membership of a point in the nodes that make up the tree structure. This extension of its expressive capabilities transforms the decision tree into a powerful functional approximant that incorporates features of connectionist methods, while remaining easily interpretable. Fuzzification is achieved by superimposing a fu...

A new model for neuro-fuzzy (NF) classification systems is proposed. The motivation is to utilize the feature-wise degree of belonging of patterns to all classes that are obtained through a fuzzification process. A fuzzification process generates a membership matrix having total number of elements equal to the product of the number of features and classes present in the data set. These matrix e...

Abstract Modeling forms the basis for optimal control of complex technical processes in context industry 4.0 development and, hence, high product quality as well efficient production. For mechanical joining process self-pierce riveting with 11 input and 5 output variables, two modeling approaches based on (1) experimental data (2) FEM computer simulation are outlined performed. A physical appro...

Myerson treated various situations of cooperation in the field of cooperative games and proposed the communication structure. In this paper, we define and characterize an allocation rule in terms of the position value, called an average spanning tree solution, for communication situations by introducing a concept of cooperation relationship which says that two players are deemed to possess this...