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Transactions on Rough Sets V
Volume V of the Transactions on Rough Sets (TRS) is dedicated to the monu-mental life and work of Zdzis law Pawlak1. During the past 35 years, This volume continues the traditionbegun with earlier volumes of the TRS series and introduces a number of newadvances in the foundations and application of rough sets. These advances haveprofound implications in a number of research areas such as adaptive learning,approximate reasoning and belief systems, approximation spaces, Boolean rea-soning, classification methods, classifiers, concept analysis, data mining, decisionlogic, decision rule importance measures, digital image processing, recognitionof emotionally-charged gestures in animations, flow graphs, Kansei engineering,movie sound track restoration, multicriteria decision analysis, relational informa-tion systems, rough-fuzzy sets, rough measures, signal processing, variable pre-cision rough set model, and video retrieval.
Transactions on Rough Sets IX
This book providing evidence of the continuing growth of a number of research streams. It includes articles that are extensions of papers included in the first conference on Rough Sets and Intelligent Systems Paradigms.Presented in this volume introduce a number of new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.
Transactions on Rough Sets IV
Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide.
Transactions on Rough Sets III
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.
Transactions on Rough Sets II : Rough Sets and Fuzzy Sets
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.
Transactions on Computational Science II
Transactions on Computational Science II is devoted to the subject of denotational mathematics for computational intelligence. Denotational mathematics, as a counterpart of conventional analytic mathematics, is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, granules, and systems. This volume includes 12 papers covering the following four important areas: foundations and applications of denotational mathematics; rough and fuzzy set theories; granular computing; and knowledge and information modeling.
Topological Data Analysis for Genomics and Evolution : Topology in Biology
Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes.
Toll and Toll-Like Receptors : An Immunologic Perspective
Toll-Like Receptor (TLR) biology would prove to be one of these secrets. Analyses of the evolution of these receptors (Tolls and TLRs) have also helped us to rethink immune system phylogeny. In the first part of this chapter the history of the discovery of Toll and TLR biology is described. The evolution of the TLR genes and theories of immune function are covered in later sections. The remainder of this book presents work from nine groups active in the field. In the first chapter, "The Function of Toll-Like Receptors", Zlatko Dembic sets the stage by introducing us to many of the components of the immune system and their relationships vis a vis Toll receptors. Zlatko finishes his chapter with a discussion about current immune system models and contributes his own 'integrity model'.
Time Series Analysis : With Applications in R
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to time series regression models, models for heteroscedasticity, and threshold models. All of the ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment. The tables and graphical displays are accompanied by the R commands used to produce them. An extensive R package, TSA, which contains many new or revised R functions and all of the data used in the book, accompanies the written text.
Theory of Random Sets
Theory of Random Sets presents a state of the art treatment of the modern theory, but it does not neglect to recall and build on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference of the 1990s. The book is entirely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time, fixes terminology and notation that are often varying in the current literature to establish it as a natural part of modern probability theory, and to provide a platform for future development.
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.
The study of words : An introduction
This book: Provides an overview of words, word components and the rules by which components can and cannot be assembled into words / Introduces the area of morphology with a data-driven approach, exposing readers to sets of words in a variety of languages and prompting them to identify their components and seek patterns / Features exercises and questions throughout to provoke thought and point readers to unresolved morphological issues.
The Puzzle of Granular Computing
The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental bricks of Computational Intelligence in terms of key problems and methods, and discuss their implementation and underlying rationale within a well structured and rigorous conceptual framework as well as carefully related to various application facets. All in all, the main approach advocated in the mono+I241graph consists of a sequence of steps offering solid conceptual fundamentals, presenting a carefully selected collection of design methodologies, discussing a wealth of development guidelines, and exemplifying them with a pertinent, accurately selected illustrative material.
The power of humility in leadership : Influencing as a role model
To many people, the words ‘leader’ and ‘humble’ are not natural bedfellows. Yet once they have grasped the definition most employees desire a humble leader, while a majority of managers believe they already are one. What appears deceptively simple is trickier than expected. Narcissism, lack of perception, fixed mindsets, and neuronal default settings are only a few of the stumbling blocks on the path to humility.
The Palgrave Handbook of Positive Education
This handbook provides a comprehensive overview of the growing field of positive education, featuring a broad range of theoretical, applied, and practice-focused chapters from leading international experts. It demonstrates how positive education offers an approach to understanding learning that blends academic study with life skills such as self-awareness, emotion regulation, healthy mindsets, mindfulness, and positive habits, grounded in the science of wellbeing, to promote character development, optimal functioning, engagement in learning, and resilience.
The Numerate Leader : How to Pull Game-Changing Insights from Statistical Data
The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract information from unfamiliar data sets. Combining introductory statistics with a few ideas from the philosophy of science, this work helps generalists find patterns that may be expected to recur in the future.
The New Accounts Payable Toolkit
You’ll learn the key metrics and analytics needed for the accounts payable process. This comprehensive toolkit provides the best practices, tools, and internal controls that can help safeguard your company’s cash and other assets. You’ll obtain a variety of tools to create the foundation required for current internal controls and compliance to ensure that suppliers are correctly validated in the supplier master file to maintain regulatory compliance.
The Impact of Voluntary Disclosure on Financial Performance : An Applied Study on Banks and Insurance Companies Listed in DSE
The aims of the study were to clarify the impact of voluntary disclosures on the return on assets, clarify the impact of voluntary disclosures on the return on equity and to clarify the impact of voluntary disclosures on financial performance. To achieve the goals, the study used the financial statements of (14) banks and (7) insurance companies listed in Damascus Securities Exchange (DSE), for the period from (2016 till 2020) to measure their level of voluntary disclosure using the 9 main axes. Then calculating the sample’s return on assets and return on equity as a way to measure financial performance.
The impact of the size of the capital on the performance indicators of traditional private bank
The financial performance of banks is affected by many variables, including the size of the capital. The size of the capital was studied for each of the Bank of Jordan, the Bank of France, the Bank of Qatar and the Bank of Trade and Finance, and the impact of that size on the return on total assets, the return on ownership and the liquidity ratio. And standard analysis was used to show that relationship, as the ARDL-J. J . methodology was followed Optimal regression models were developed and the results showed that there was no relationship between the size of capital and the rate of return on assets, while for the relationship between the size of capital and the rate of return on equity, the results showed that there was no relationship between them except in some cases. As for the liquidity index, there is also no connection between it and the size of the capital, except for the Bank of France, which showed the existence of this relationship.
The impact of the abuse of power by Syrian companies on their financial performance : An applied study at Damascus securities exchange
Presents an examination of abusing of power besides some variables impact on financial performance (ROE & ROA). Our test is applied on (22) listed companies at Damascus Securities Cxchange for the period (2019) to (2023). The objective is to determine the firms abusing power through a questioner was used, and to measure other variables as : age, size, employees number, employees benefits, marketing and service benefits, BOD structure and audit report type, and then test their impact on key financial performance indicators, namely return on assets (ROA) and return on equity (ROE).
