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Books on the topic 'Fuzzy concepts'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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1

Concepts and fuzzy logic. Cambridge, Mass: MIT Press, 2011.

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2

Fuzzy set theory: Basic concepts, techniques, and bibliography. Dordrecht: Kluwer Academic Publishers, 1996.

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3

Verma, Tina, and Amit Kumar. Fuzzy Solution Concepts for Non-cooperative Games. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-16162-0.

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4

Lughofer, Edwin. Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18087-3.

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5

Lowen, R. Fuzzy Set Theory: Basic Concepts, Techniques and Bibliography. Dordrecht: Springer Netherlands, 1996.

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6

service), SpringerLink (Online, ed. Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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7

Reghiș, Mircea. Classical and fuzzy concepts in mathematical logic and applications. Boca Raton: CRC Press, 1998.

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8

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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9

Council, IEEE Neural Networks, ed. Understanding neural networks and fuzzy logic: Basic concepts and applications. New York: Institute of Electrical and Electronics Engineers, 1996.

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10

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29520-1.

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11

Chan, Hing Kai. Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications. London: Springer London, 2013.

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12

Filip, Mulier, ed. Learning from data: Concepts, theory, and methods. New York: Wiley, 1998.

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13

Learning from data: Concepts, theory, and methods. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2008.

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14

Brabazon, Tony. Fuzzy logic: A useful concept for systems modelling : y Tony Brabazon. Dublin: University College Dublin, Department of Accountancy, 1997.

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15

Machery, Edouard, George J. Klir, and Radim Belohlavek. Concepts and Fuzzy Logic. MIT Press, 2011.

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16

Machery, Edouard, George J. Klir, Radim Belohlavek, and Radim Belohlavek. Concepts and Fuzzy Logic. MIT Press, 2011.

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17

Belohlavek, Radim, and George J. Klir, eds. Concepts and Fuzzy Logic. The MIT Press, 2011. http://dx.doi.org/10.7551/mitpress/8842.001.0001.

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18

Kumar, Amit, and Tina Verma. Fuzzy Solution Concepts for Non-cooperative Games: Interval, Fuzzy and Intuitionistic Fuzzy Payoffs. Springer, 2019.

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19

Dadios, Elmer, ed. Fuzzy Logic - Controls, Concepts, Theories and Applications. InTech, 2012. http://dx.doi.org/10.5772/2662.

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20

Advanced Concepts In Fuzzy Logic And Systems With Membership Uncertainty. Springer, 2012.

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21

Lughofer, Edwin. Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications. Springer, 2013.

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22

de, Caluwe Rita, ed. Fuzzy and uncertain object-oriented databases: Concepts and models. Singapore: World Scientific, 1997.

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23

Berrah, Lamia, Vincent Clivillé, and Laurent Foulloy. Industrial Objectives and Industrial Performance: Concepts and Fuzzy Handling. Wiley-ISTE, 2018.

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24

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Springer, 2012.

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25

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Springer, 2014.

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26

Caluwe, Rita De. Fuzzy and Uncertain Object-Oriented Databases: Concepts and Models (Advances in Fuzzy Systems - Applications and Theory , Vol 13). World Scientific Publishing Company, 1998.

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27

Wang, Xiaojun, and Hing Kai Chan. Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications. Springer, 2015.

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28

Reghis, Mircea S., and Eugene Roventa. Classical and Fuzzy Concepts in Mathematical Logic and Applications, Professional Version. CRC, 1998.

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29

Kayacan, Erdal, and Mojtaba Ahmadieh Khanesar. Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning. Elsevier Science & Technology Books, 2015.

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30

Cherkassky, Vladimir, and Filip M. Mulier. Learning from Data: Concepts, Theory, and Methods. Wiley & Sons, Incorporated, John, 2009.

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31

Cherkassky, Vladimir, and Filip M. Mulier. Learning from Data: Concepts, Theory, and Methods. Wiley & Sons, Incorporated, John, 2007.

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32

Computing With Words Principal Concepts And Ideas. Springer, 2012.

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33

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Significance of Fuzzy Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0007.

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The aim of this chapter is to assess the significance of fuzzy logic based on its developments and its impact on mathematics and other areas of human affairs over its fifty-year history. For this purpose, the well-established concepts of a paradigm and a paradigm shift in science as well as their counterparts in mathematics and other areas of human affairs are employed as useful metaphors. Authors’ views regarding future prospects of fuzzy logic are also discussed. The prospects for a wider awareness of fuzzy logic depend on the development of specialist forums for discussion of its application, as well as on the availability of general-purpose textbooks. Fuzzy logic offers contributions to thinking about a large number of disciplines, and their acceptance will depend on how well the claims made for it materialize.
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34

Soucek, Branko, and Vito Leonardo Plantamura. Frontier Decision Support Concepts: Help Desk, Learning, Fuzzy Diagnoses, Quality Evaluation, Prediction, Evolution. Wiley-Interscience, 1994.

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35

Castillo, Oscar, and Luis T. Aguilar. Type-2 Fuzzy Logic in Control of Nonsmooth Systems: Theoretical Concepts and Applications. Springer, 2018.

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36

Leonardo, Plantamura Vito, Souček Branko, and Visaggio Giuseppe, eds. Frontier decision support concepts: Help desk, learning, fuzzy diagnoses, quality evaluation, prediction, evolution. New York: Wiley, 1994.

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37

Sessa, Salvatore, and Ferdinando Di Martino. Fuzzy Transforms for Image Processing and Data Analysis: Core Concepts, Processes and Applications. Springer, 2020.

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38

Kartalopoulos, Stamatios V. Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications (IEEE Press Understanding Science & Technology Series). Wiley-IEEE Press, 1995.

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39

Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence). Springer, 2006.

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40

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Aims and Scope of This Book. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0001.

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This chapter is a general introduction to the book and an overview of its content. It describes the aims and scope of the book, and explains why a historical perspective is essential for achieving the aims. It introduces informally the key concepts involved, and the particular challenge fuzzy logic poses to the principle of bivalence in classical logic. It looks at the circumstances that led to the emergence of fuzzy logic in the academic community and as well as at the agendas of two main subareas of fuzzy logic, known as fuzzy logic in the narrow sense and fuzzy logic in the broad sense. The content of each of the subsequent chapters of the book is also briefly described.
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41

Anderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0013.

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The elementary particles of cognition are concepts. Simple, accurate association alone can be misleading. Cognitive concepts work as valuable cognitive data compression, for example, giving a set of related items the same class name: tables, chairs, birds. Cognitive concepts also contain internal structure with good and bad examples and have fuzzy edges. Concepts can be associatively linked in semantic networks to store and retrieve information. Cognition using networks is an active search process and need not require further learning to be useful. Low-level concepts can lead to the formation of higher level abstractions. An experiment by Deidre Gentner involves perception of identity in pairs of items; some pairs the same and some not. Seeing many identical pairs allows the abstraction of “identity.” The abstract relationship “identity” can then become more powerful than the details of any single example pair.
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42

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Fuzzy Logic in the Narrow Sense. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0004.

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The chapter examines the various propositional and predicate many-valued logics that were studied prior to the emergence of the concept of a fuzzy set in the mid-1960s, which led to the genesis of fuzzy logic in broad and narrow senses. Early ideas regarding formal systems of fuzzy logic allowed for deduction from partially true premises to partially true consequences, as suggested first by Goguen in the 1960s and further developed by Pavelka in the 1970s, and these ideas were developed from the 1990s onward. The systematic development of fuzzy logics based on t-norms and their residua, pursued under the leadership of Hájek in the 1990s, is discussed in some detail. An overview is presented of fuzzy logics that are not truth-functional, such as probabilistic, possibilistic and modal fuzzy logic. The chapter concludes by reviewing relevant additional issues, such as issues of computational complexity for fuzzy logic or higher-order fuzzy logics.
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43

Fuzzy Data Warehousing for Performance Measurement: Concept and Implementation. Springer, 2014.

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44

Fasel, Daniel. Fuzzy Data Warehousing for Performance Measurement: Concept and Implementation. Springer, 2016.

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45

Ragin, Charles C. Measurement Versus Calibration: A Set‐Theoretic Approach. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0008.

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This article distinguishes between ‘measurement’ and ‘calibration’. It is organized around the distinction between measurement and calibration. The main message of this article is that fuzzy sets, unlike conventional variables, must be calibrated. It also argues that fuzzy sets provide a middle path between quantitative and qualitative measurement. It explores the common measurement practices in quantitative and qualitative social research. It then further demonstrates that fuzzy sets resonate with both the measurement concerns of qualitative researchers, where the goal often is to recognize between relevant and irrelevant variation, and the measurement concerns of quantitative researchers, where the goal is the precise placement of cases relative to each other. Current practices in quantitative social science undercut serious attention to calibration. Set-theoretic analysis without careful calibration of set membership is an exercise in futility.
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46

Graybill, Rhiannon. Texts after Terror. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190082314.001.0001.

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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).
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47

Wedemeier, Jan. Germany's Creative Sector and Its Impact on Employment Growth : a Theoretical and Empirical Approach to the Fuzzy Concept of Creativity: Richard Florida's Arguments Reconsidered. Lang Publishing, Incorporated, Peter, 2012.

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48

Wedemeier, Jan. Germany's Creative Sector and Its Impact on Employment Growth : A Theoretical and Empirical Approach to the Fuzzy Concept of Creativity: Richard Florida's Arguments Reconsidered. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2012.

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49

Morphy, Howard. Art as Action, Art as Evidence. Edited by Dan Hicks and Mary C. Beaudry. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199218714.013.0011.

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This article is a strong defence of the idea of ‘art’, but it also recognizes its complexity and the fact that as a concept, ‘art’ is fuzzy around the edges. It uses a concept of family resemblance and sees art objects as forming polythetic sets. The category contains within it an immense diversity and includes objects that have little in common with each other and require very different methods of analysis. However, at the heart of this concept of art lies a set of loosely connected features or themes around which the idea of art coalesces: art is a form of action, art production is integral to meaning creating processes and requires a sense of form, and art is associated with aesthetic experience. This article proceeds to explain ideas of art and material culture. An analysis of art as cross-cultural category concludes this article.
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50

Triandafyllidou, Anna, ed. Pluralizing Global Governance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793342.003.0012.

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The concluding chapter summarizes the four main findings of the volume. The first concerns a certain retreat from global governance despite the multilateral and unstable nature of the world order in the early twenty-first century. Second, contributions to this volume highlight the power but also the problems that a regional perspective yields in our efforts to decentralize and pluralize our understanding of global governance. Third, that our critical approach to global governance has to cultivate an element of self-reflexivity. Just as we question the western-centric domination in discussions on global governance, when adopting decentralized, regional views we need to keep this element of self-reflexivity and plurality alive. This is no simple enterprise. And fourth, that the agent of global governance remains elusive. Doing away with the state leaves us with a rather fuzzy constellation of different types of institutions with different levels of aspiration and capacity to govern transnationally.
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