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Towards a General Theory of Classifications / by Daniel Parrochia, Pierre Neuville
(Studies in Universal Logic. ISSN:22970290)

1st ed. 2013.
出版者 (Basel : Springer Basel : Imprint: Birkhäuser)
出版年 2013
本文言語 英語
大きさ XXIII, 304 p. 72 illus., 1 illus. in color : online resource
著者標目 *Parrochia, Daniel author
Neuville, Pierre author
SpringerLink (Online service)
件 名 LCSH:Mathematical logic
LCSH:Algebra
LCSH:Logic
LCSH:Game theory
LCSH:Information storage and retrieval systems
FREE:Mathematical Logic and Foundations
FREE:Order, Lattices, Ordered Algebraic Structures
FREE:Logic
FREE:Game Theory
FREE:Information Storage and Retrieval
一般注記 Foreword -- 1 Philosophical problems -- 2 Information data structures -- 3 Empirical Clustering and classic hierarchies -- 4 Algebra of trees -- 5 Generalized Classifications -- 6 Topology of generalized classifications -- 7 Meta-classification -- 8 For an axiomatic theory of classifications -- 9 Alternative theories and higher infinite -- 10 Postscript -- Bibliography.  
This book is an essay on the epistemology of classifications. Its main purpose is not to provide an exposition of an actual mathematical theory of classifications, that is, a general theory which would be available to any kind of them: hierarchical or non-hierarchical, ordinary or fuzzy, overlapping or non-overlapping, finite or infinite, and so on, establishing a basis for all possible divisions of the real world. For the moment, such a theory remains nothing but a dream. Instead, the authors essentially put forward a number of key questions. Their aim is rather to reveal the “state of art” of this dynamic field and the philosophy one may eventually adopt to go further. To this end they present some advances made in the course of the last century, discuss a few tricky problems that remain to be solved, and show the avenues open to those who no longer wish to stay on the wrong track. Researchers and professionals interested in the epistemology and philosophy of science, library science, logic and set theory, order theory or cluster analysis will find this book a comprehensive, original and progressive introduction to the main questions in this field
HTTP:URL=https://doi.org/10.1007/978-3-0348-0609-1
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書誌ID 4000117343
ISBN 9783034806091

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