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The Resource Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource)
Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource)
Resource Information
The item Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 For more than four decades of its existence, the scientific "Fuzzy Group" has grown from a few engineers, working either alone or in small groups to a large scientific community. From the perspective of the history of science, it is quite normal over the course of time for such research programs to adapt themselves to the phenomena of branching out and differentiation into special projects and penetrating other disciplines. This applies not only to the distribution of research projects, the number of researchers, and the benefits of various research funding programs but also in the high profile of the subject in widely diverse fields of science, technology and business. For more than forty years fuzzy logic and fuzzy mathematics have been continuously developed, resulting in important theoretical expansions of this mathematical theory of unsharp amounts or logic of unsharp statements, which have often very quickly led to new application systems. At the same time, the areas of artificial neural networks and of evolutionary and genetic algorithms emerged as independent research disciplines and beginning in the 1980s new developments arose that were hardly foreseeable: the theory of fuzzy sets and systems was combined with these new scientific theories and methods and the use of "hybrid systems" became more and more common in all types of applications. In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life
 Language
 eng
 Contents

 Fuzzy Sets and Systems and Philosophy of Science
 Fuzzy Systems and Scientific Method – Metalevel Reflections and Prospects
 Fuzzy Logic and Science
 Fuzzy Logic, Concepts and Semantic Transformers
 Phenomenology as a Criterion for Formalism Choice
 Computational Theory of Meaning Articulation: A Human Estimation Approach to Fuzzy Arithmetic
 Power Sets, Implications and Set Inclusions Revisited – Retrospect and Prospect: A Review of Bandler and Kohout’s Paper and a Survey of 30 Years of Subsequent Developments
 Probability and Fuzziness – Echoes from 30 Years Back
 On a Model for the Meaning of Predicates – A Naïve Approach to the Genesis of Fuzzy Sets
 Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions
 Dialogue Games as Foundation of Fuzzy Logics
 Connecting a Tenable Mathematical Theory to Models of Fuzzy Phenomena
 ManyValuation, Modality, and Fuzziness
 Fuzzy Thinking in Sociology
 Fuzzy Set Theory and the Philosophical Foundations of Medicine
 Fuzzy Preferences as a Convenient Tool in Group Decision Making and a Remedy for Voting Paradoxes
 What We Are Learning from Neurosciences about DecisionMaking: A Quest for Fuzzy Set Technology
 Postmodernism and Control Engineering
 Fuzzy Mechanisms for Qualitative Causal Relations
 On the Relation between Fuzzy and Quantum Logic
 Fuzzy Cluster Analysis from the Viewpoint of Robust Statistics
 On the Usefulness of Fuzzy Sets in Data Mining
 The Uncertainty Associated with a Type2 Fuzzy Set
 Fuzziness – Representation of Dynamic Changes by Ordered Fuzzy Numbers
 Meta Sets – Another Approach to Fuzziness
 Regression Model Based on Fuzzy Random Variables
 Optimal Workers’ Placement in an Industrial Environment
 Isbn
 9783540938026
 Label
 Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications
 Title
 Views on Fuzzy Sets and Systems from Different Perspectives
 Title remainder
 Philosophy and Logic, Criticisms and Applications
 Statement of responsibility
 edited by Rudolf Seising
 Language
 eng
 Summary
 For more than four decades of its existence, the scientific "Fuzzy Group" has grown from a few engineers, working either alone or in small groups to a large scientific community. From the perspective of the history of science, it is quite normal over the course of time for such research programs to adapt themselves to the phenomena of branching out and differentiation into special projects and penetrating other disciplines. This applies not only to the distribution of research projects, the number of researchers, and the benefits of various research funding programs but also in the high profile of the subject in widely diverse fields of science, technology and business. For more than forty years fuzzy logic and fuzzy mathematics have been continuously developed, resulting in important theoretical expansions of this mathematical theory of unsharp amounts or logic of unsharp statements, which have often very quickly led to new application systems. At the same time, the areas of artificial neural networks and of evolutionary and genetic algorithms emerged as independent research disciplines and beginning in the 1980s new developments arose that were hardly foreseeable: the theory of fuzzy sets and systems was combined with these new scientific theories and methods and the use of "hybrid systems" became more and more common in all types of applications. In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life
 http://library.link/vocab/creatorName
 Seising, Rudolf
 Image bit depth
 0
 LC call number

 TA329348
 TA640643
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName
 SpringerLink
 Series statement
 Studies in Fuzziness and Soft Computing,
 Series volume
 243
 http://library.link/vocab/subjectName

 Engineering
 Science
 Artificial intelligence
 Engineering mathematics
 Engineering
 Appl.Mathematics/Computational Methods of Engineering
 Artificial Intelligence (incl. Robotics)
 Philosophy
 History of Science
 Label
 Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Fuzzy Sets and Systems and Philosophy of Science  Fuzzy Systems and Scientific Method – Metalevel Reflections and Prospects  Fuzzy Logic and Science  Fuzzy Logic, Concepts and Semantic Transformers  Phenomenology as a Criterion for Formalism Choice  Computational Theory of Meaning Articulation: A Human Estimation Approach to Fuzzy Arithmetic  Power Sets, Implications and Set Inclusions Revisited – Retrospect and Prospect: A Review of Bandler and Kohout’s Paper and a Survey of 30 Years of Subsequent Developments  Probability and Fuzziness – Echoes from 30 Years Back  On a Model for the Meaning of Predicates – A Naïve Approach to the Genesis of Fuzzy Sets  Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions  Dialogue Games as Foundation of Fuzzy Logics  Connecting a Tenable Mathematical Theory to Models of Fuzzy Phenomena  ManyValuation, Modality, and Fuzziness  Fuzzy Thinking in Sociology  Fuzzy Set Theory and the Philosophical Foundations of Medicine  Fuzzy Preferences as a Convenient Tool in Group Decision Making and a Remedy for Voting Paradoxes  What We Are Learning from Neurosciences about DecisionMaking: A Quest for Fuzzy Set Technology  Postmodernism and Control Engineering  Fuzzy Mechanisms for Qualitative Causal Relations  On the Relation between Fuzzy and Quantum Logic  Fuzzy Cluster Analysis from the Viewpoint of Robust Statistics  On the Usefulness of Fuzzy Sets in Data Mining  The Uncertainty Associated with a Type2 Fuzzy Set  Fuzziness – Representation of Dynamic Changes by Ordered Fuzzy Numbers  Meta Sets – Another Approach to Fuzziness  Regression Model Based on Fuzzy Random Variables  Optimal Workers’ Placement in an Industrial Environment
 Dimensions
 unknown
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783540938026
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783540938026
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783540938026
 Label
 Views on Fuzzy Sets and Systems from Different Perspectives : Philosophy and Logic, Criticisms and Applications, edited by Rudolf Seising, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Fuzzy Sets and Systems and Philosophy of Science  Fuzzy Systems and Scientific Method – Metalevel Reflections and Prospects  Fuzzy Logic and Science  Fuzzy Logic, Concepts and Semantic Transformers  Phenomenology as a Criterion for Formalism Choice  Computational Theory of Meaning Articulation: A Human Estimation Approach to Fuzzy Arithmetic  Power Sets, Implications and Set Inclusions Revisited – Retrospect and Prospect: A Review of Bandler and Kohout’s Paper and a Survey of 30 Years of Subsequent Developments  Probability and Fuzziness – Echoes from 30 Years Back  On a Model for the Meaning of Predicates – A Naïve Approach to the Genesis of Fuzzy Sets  Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions  Dialogue Games as Foundation of Fuzzy Logics  Connecting a Tenable Mathematical Theory to Models of Fuzzy Phenomena  ManyValuation, Modality, and Fuzziness  Fuzzy Thinking in Sociology  Fuzzy Set Theory and the Philosophical Foundations of Medicine  Fuzzy Preferences as a Convenient Tool in Group Decision Making and a Remedy for Voting Paradoxes  What We Are Learning from Neurosciences about DecisionMaking: A Quest for Fuzzy Set Technology  Postmodernism and Control Engineering  Fuzzy Mechanisms for Qualitative Causal Relations  On the Relation between Fuzzy and Quantum Logic  Fuzzy Cluster Analysis from the Viewpoint of Robust Statistics  On the Usefulness of Fuzzy Sets in Data Mining  The Uncertainty Associated with a Type2 Fuzzy Set  Fuzziness – Representation of Dynamic Changes by Ordered Fuzzy Numbers  Meta Sets – Another Approach to Fuzziness  Regression Model Based on Fuzzy Random Variables  Optimal Workers’ Placement in an Industrial Environment
 Dimensions
 unknown
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783540938026
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783540938026
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783540938026
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