Books on the topic 'Fuzzy TOPSIS'

In the textbook, traditional logic is presented from the point of view of mathematical logic. Mathematization begins with the study of the topic "Concept", continues with the topic "Judgment" and reaches its greatest effectiveness in the study of deductive reasoning. Thus, the most effective part of traditional logic is subjected to mathematization. The issues of the relationship between logic and intuition in thought processes, the role of language in them, as well as plausible conclusions and elements of the theory of fuzzy sets and fuzzy logic are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is addressed primarily to students of mathematical fields of study and specialties of universities, especially future teachers of mathematics and computer science, studying both at the bachelor's and master's level at pedagogical and classical universities. It will also be useful for students of humanities and university specialties — lawyers, philosophers, political scientists, sociologists, economists, historians, philologists, linguists who study traditional logic and want to learn how mathematical methods penetrate into humanitarian fields of knowledge, including the direction of "Applied Informatics".

This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.

In recent years, probabilistic approaches to epistemological questions have become increasingly influential. This chapter surveys a number of the most significant ways in which probability is relevant to contemporary epistemology. Topics surveyed include: the debate surrounding the connection between full and partial beliefs; synchronic rational constraints on credences including probabilism, regularity, reflection, and the principal principle; diachronic rational constraints on credences including conditionalization and de se updating; the application of the requirement of total evidence; evidential probability, focusing on the theories of Henry Kyburg and Timothy Williamson; sharp and fuzzy credences; likelihood arguments, including the fine-tuning argument for Design; dogmatism and its critics; and transmission failure, focusing on the work of Crispin Wright.

The authors present a series of exploratory examples of computer modeling, using a range of computational techniques to illuminate a variety of questions in philosophy and philosophical logic. Topics include self-reference and paradox in fuzzy logics, varieties of epistemic chaos, fractal images of formal systems, and cellular automata models in game theory. Examples in the last category include models for the evolution of generosity, possible causes and cures for discrimination, and the formal undecidability of patterns of social and biological interaction. The cross-platform CD-ROM provided with the book contains a variety of working examples, in color and often operating dynamically, embedded in a text that parallels that of the book. Source code of all major programs is included to facilitate further research. Bradford Books imprint

It is widely recognized that the Hebrew Bible is filled with rape and sexual violence. However, feminist approaches to the topic remain dominated by Phyllis Trible’s 1984 Texts of Terror, which describes feminist criticism as a practice of “telling sad stories.” Pushing beyond Trible, Texts after Terror offers a new framework for reading biblical sexual violence, one that draws on recent work in feminist, queer, and affect theory and activism against sexual violence and rape culture. In the Hebrew Bible as in the contemporary world, sexual violence is frequently fuzzy, messy, and icky. Fuzzy names the ambiguity and confusion that often surround experiences of sexual violence. Messy identifies the consequences of rape, while also describing messy sex and bodies. Icky points out the ways that sexual violence fails to fit into neat patterns of evil perpetrators and innocent victims. Building on these concepts, Texts after Terror offers new feminist strategies and approaches to sexual violence: critiquing the framework of consent, offering new models of sexual harm, emphasizing the importance of relationships between women (even in the context of stories of heterosexual rape), reading biblical rape texts with and through contemporary texts written by survivors, and advocating for “unhappy reading” that makes unhappiness and open-endedness into key feminist sites of possibility. Texts after Terror also discusses a wide range of biblical rape stories, including Dinah (Gen 34), Tamar (2 Sam 13), Lot’s daughters (Gen 19), Bathsheba (2 Sam 11), Hagar (Gen 16 and 21), Daughter Zion (Lam 1 and 2), and the Levite’s concubine (Judg 19).

How to Free Your Inner Mathematician: Notes on Mathematics and Life offers readers guidance in managing the fear, freedom, frustration, and joy that often accompany calls to think mathematically. With practical insight and years of award-winning mathematics teaching experience, DAgostino offers more than 300 hand-drawn sketches alongside accessible descriptions of fractals, symmetry, fuzzy logic, knot theory, Penrose patterns, infinity, the Twin Prime Conjecture, Arrows Impossibility Theorem, Fermats Last Theorem, and other intriguing mathematical topics. Readers are encouraged to embrace change, proceed at their own pace, mix up their routines, resist comparison, have faith, fail more often, look for beauty, exercise their imaginations, and define success for themselves. Mathematics students and enthusiasts will learn advice for fostering courage on their journey regardless of age or mathematical background. How to Free Your Inner Mathematician delivers not only engaging mathematical content but provides reassurance that mathematical success has more to do with curiosity and drive than innate aptitude.

Part II, ‘Doctrinal Perspectives’, is structured in two chapters: Chapter 3 and Chapter 4. Chapter 4, which is concerned with the state’s compliance with the obligation to adopt a National Human Rights Action Plan (NHRAP), addresses two sets of questions. The first section of Chapter 4 examines the question as to whether states are expected to adopt separate rights-specific action plans or just one global action plan covering all the rights (and rights-related topics) at once. By adopting a mixed methods approach, including a qualitative textual analysis, a quantitative content analysis, and a fuzzy-set method, the second section of this chapter attempts to clarify the ‘obligation to take all appropriate measures’ (OTAAM) from which the obligation to adopt a national human rights action plan is derived. It seeks to address the questions as to what ‘measure’ and ‘appropriateness’ mean in international human rights law? How to determine the degree of appropriateness of each measure taken by the state?

The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network (GESUT) and in database of topographic objects (BDOT500) were analyzed. The results of the research concerned selected aspects of activities in terms of the spatial data quality. These activities include: the assessment of the accuracy of data collected in official spatial databases; determination of the uncertainty of the area of registry parcels, analysis of the risk of damage to the underground infrastructure network due to the quality of spatial data, construction of the quality model of data collected in official databases and visualization of the phenomenon of uncertainty in spatial data. The evaluation of the accuracy of data collected in official, large-scale spatial databases was based on a representative sample of data. The test sample was a set of deviations of coordinates with three variables dX, dY and Dl – deviations from the X and Y coordinates and the length of the point offset vector of the test sample in relation to its position recognized as a faultless. The compatibility of empirical data accuracy distributions with models (theoretical distributions of random variables) was investigated and also the accuracy of the spatial data has been assessed by means of the methods resistant to the outliers. In the process of determination of the accuracy of spatial data collected in public registers, the author’s solution was used – resistant method of the relative frequency. Weight functions, which modify (to varying degree) the sizes of the vectors Dl – the lengths of the points offset vector of the test sample in relation to their position recognized as a faultless were proposed. From the scope of the uncertainty of estimation of the area of registry parcels the impact of the errors of the geodetic network points was determined (points of reference and of the higher class networks) and the effect of the correlation between the coordinates of the same point on the accuracy of the determined plot area. The scope of the correction was determined (in EGiB database) of the plots area, calculated on the basis of re-measurements, performed using equivalent techniques (in terms of accuracy). The analysis of the risk of damage to the underground infrastructure network due to the low quality of spatial data is another research topic presented in the paper. Three main factors have been identified that influence the value of this risk: incompleteness of spatial data sets and insufficient accuracy of determination of the horizontal and vertical position of underground infrastructure. A method for estimation of the project risk has been developed (quantitative and qualitative) and the author’s risk estimation technique, based on the idea of fuzzy logic was proposed. Maps (2D and 3D) of the risk of damage to the underground infrastructure network were developed in the form of large-scale thematic maps, presenting the design risk in qualitative and quantitative form. The data quality model is a set of rules used to describe the quality of these data sets. The model that has been proposed defines a standardized approach for assessing and reporting the quality of EGiB, GESUT and BDOT500 spatial data bases. Quantitative and qualitative rules (automatic, office and field) of data sets control were defined. The minimum sample size and the number of eligible nonconformities in random samples were determined. The data quality elements were described using the following descriptors: range, measure, result, and type and unit of value. Data quality studies were performed according to the users needs. The values of impact weights were determined by the hierarchical analytical process method (AHP). The harmonization of conceptual models of EGiB, GESUT and BDOT500 databases with BDOT10k database was analysed too. It was found that the downloading and supplying of the information in BDOT10k creation and update processes from the analyzed registers are limited. An effective approach to providing spatial data sets users with information concerning data uncertainty are cartographic visualization techniques. Based on the author’s own experience and research works on the quality of official spatial database data examination, the set of methods for visualization of the uncertainty of data bases EGiB, GESUT and BDOT500 was defined. This set includes visualization techniques designed to present three types of uncertainty: location, attribute values and time. Uncertainty of the position was defined (for surface, line, and point objects) using several (three to five) visual variables. Uncertainty of attribute values and time uncertainty, describing (for example) completeness or timeliness of sets, are presented by means of three graphical variables. The research problems presented in the paper are of cognitive and application importance. They indicate on the possibility of effective evaluation of the quality of spatial data collected in public registers and may be an important element of the expert system.