Michael Winter 0001

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39ranked-venue papers
19as first author
7since 2021 · last 2024
0000-0003-0847-0448ORCID · verified

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Theory of computation · 26 · 12 first-author · 5 since 2021Artificial intelligence and machine learning · 10 · 5 first-author · 2 since 2021Databases, data management, data science and information retrieval · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2024 A relation algebraic approach to universal integrals
abstract
In a series of papers Klement et al. investigated discrete integrals such as the Choquet and Sugeno integral and their axiomatization. As part of their study they showed that universal integrals are based on semicopulas, and they provided lower and upper bounds of the integral operations based on a given semicopula. These real-valued resp. unit interval valued integrals can be considered as proper aggregation tool in the context of fuzzy sets. The aim of the current paper is to generalize this approach to so-called L-fuzzy sets and relations, i.e., fuzzy sets and relations that use an arbitrary Heyting algebra L as membership degree instead of the unit interval. Furthermore, we present the theory within arrow categories, i.e., we abstract from concrete sets and relations and work within a suitable algebraic framework. The current paper also shows that the results of the previous work can be proven without referring to the real numbers and specific measures such as the Lebesque measure and the induced measurable spaces.
Michael Winter 0001
Fuzzy Sets Syst.1
2024 Relational Algebraic Approach to the Real Numbers: The Least-Upper-Bound Property
abstract
In this paper we continue the investigation of a real number object, i.e., an object representing the real numbers, in categories of relations. Our axiomatization is based on a relation algebraic version of Tarski's axioms of the real numbers. It was already shown that the addition of such an object forms a dense, linear ordered abelian group. In the current paper we will focus on the least-upper-bound property of such an object.
Michael Winter 0001
Fundam. Informaticae1
2023 A General Method for Representing Sets of Relations by Vectors
Rudolf Berghammer, Michael Winter 0001
RAMiCS2
2023 Relational Algebraic Approach to the Real Numbers the Additive Group
Michael Winter 0001
RAMiCS1
2023 L-fuzzy concept analysis using fuzzy categories
George Addison, Anahita Izadpanahi, Sajal Saha, Michael Winter 0001
Fuzzy Sets Syst.4
2021 Relational Sums and Splittings in Categories of L-fuzzy Relations
Michael Winter 0001
RAMiCS1
2021 Change of Base Using Arrow Categories
Michael Winter 0001
RAMiCS1
2020 Sharpness in the Fuzzy World
Michael Winter 0001
RAMiCS1
2020 Efficient Computation of the Large Inductive Dimension Using Order- and Graph-theoretic Means
abstract
Finite topological spaces and their dimensions have many applications in computer science, e.g., in digital topology, computer graphics and the analysis and synthesis of digital images. Georgiou et. al. [11] provided a polynomial algorithm for computing the covering dimension dim( X; 𝒯) of a finite topological space (X; 𝒯). In addition, they asked whether algorithms of the same complexity for computing the small inductive dimension ind( X; 𝒯) and the large inductive dimension Ind( X; 𝒯) can be developed. The first problem was solved in a previous paper [4]. Using results of the that paper, we also solve the second problem in this paper. We present a polynomial algorithm for Ind( X; 𝒯), so that there are now efficient algorithms for the three most important notions of a dimension in topology. Our solution reduces the computation of Ind( X; 𝒯), where the specialisation pre-order of ( X; 𝒯) is taken as input, to the computation of the maximal height of a specific class of directed binary trees within the partially ordered set. For the latter an efficient algorithm is presented that is based on order- and graph-theoretic ideas. Also refinements and variants of the algorithm are discussed.
Rudolf Berghammer, Henning Schnoor, Michael Winter 0001
Fundam. Informaticae3
2018 A Modal and Relevance Logic for Qualitative Spatial Reasoning
Pranab Kumar Ghosh, Michael Winter 0001
RAMiCS2
2018 T-Norm Based Operations in Arrow Categories
Michael Winter 0001
RAMiCS1
2017 Type-n Arrow Categories
Michael Winter 0001
RAMiCS1
2017 An algebraic generalization for graph and tensor-based neural networks
abstract
Despite significant effort, there is currently no formal or de facto standard framework or format for constructing, representing, or manipulating general neural networks. In computational neuroscience, there have been some attempts to formalize connectionist notations and generative operations for neural networks, including Connection Set Algebra, but none are truly formal or general. In computational intelligence (CI), though the use of linear algebra and tensor-based models are widespread, graph-based frameworks are also popular and there is a lack of tools supporting the transfer of information between systems. To address these gaps, we exploited existing results about the connection between linear and relation algebras to define a concise, formal algebraic framework that generalizes graph and tensor-based neural networks. For simplicity and compatibility, this framework is purposefully defined as a minimal extension to linear algebra. We demonstrate the merits of this approach first by defining new operations for network composition along with proofs of their most important properties. An implementation of the algebraic framework is presented and applied to create an instance of an artificial neural network that is compatible with both graph and tensor based CI frameworks. The result is an algebraic framework for neural networks that generalizes the formats used in at least two systems, together with an example implementation.
Ethan C. Jackson, James Alexander Hughes, Mark Daley, Michael Winter 0001
CIBCB4
2016 Categories of relations for variable-basis fuzziness
Michael Winter 0001, Ethan C. Jackson
Fuzzy Sets Syst.1
2015 L-Fuzzy Databases in Arrow Categories
Evans Adjei, Wazed Chowdhury, Michael Winter 0001
RAMiCS3
2015 Investigating and Computing Bipartitions with Algebraic Means
Rudolf Berghammer, Insa Stucke, Michael Winter 0001
RAMiCS3
2015 Relations among Matrices over a Semiring
Dylan Killingbeck, Milene Santos Teixeira, Michael Winter 0001
RAMiCS3
2015 Membership values in arrow categories
Michael Winter 0001
Fuzzy Sets Syst.1
2014 Refinements of the RCC25 Composition Table
Manas Ghosh, Michael Winter 0001
RAMiCS2
2014 Higher-Order Arrow Categories
Michael Winter 0001
RAMiCS1
2014 Type-2 Fuzzy Controllers in Arrow Categories
Michael Winter 0001, Ethan C. Jackson, Yuki Fujiwara
RAMiCS1
2013 Decomposition of Relations and Concept Lattices
abstract
We introduce the decomposition of an arbitrary relation into a sequential composition of three relations, viz. of a mapping with a partial order and then the transpose of a mapping. After presenting some basic properties, we investigate the specific classes of junkfree, irreducible and minimal decompositions and show that for all relations a minimal decomposition exists. We also study decompositions with regard to DedekindMacNeille completions and concept lattices. These constructions are closely related to decompositions of relations. In our setting the fundamental theorem of concept lattices states that concept lattices are minimal-complete decompositions and all such decompositions are isomorphic. As a further main result we prove that the cutDedekindMacNeille completion of the order that belongs to the minimal decomposition of a relation is isomorphic to the concept lattice of that relation. Instead of considering binary relations on sets, we will work point-free within the general framework of allegories. This complement-free approach implies that the results of the paper can be applied to all models of these algebraic structures, including, for instance, lattice-valued fuzzy relations.
Rudolf Berghammer, Michael Winter 0001
Fundam. Informaticae2
2012 Relation Algebras, Matrices, and Multi-valued Decision Diagrams
Francis Atampore, Michael Winter 0001
RAMiCS2
2011 A First-Order Calculus for Allegories
Bahar Aameri, Michael Winter 0001
RAMiCS2
2011 Splitting Atoms in Relational Algebras
Prathap Siddavaatam, Michael Winter 0001
RAMiCS2
2011 Relation Algebraic Approaches to Fuzzy Relations - (Invited Tutorial)
Michael Winter 0001
RAMiCS1
2011 Dedekind categories with cutoff operators
Hitoshi Furusawa, Yasuo Kawahara, Michael Winter 0001
Fuzzy Sets Syst.3
2010 Embedding mappings and splittings with applications
Rudolf Berghammer, Michael Winter 0001
Acta Informatica2
2009 Timed Contact Algebras
abstract
Timed contact algebras constitute an approach to a temporal version of a region based theory of space. The general theory does not provide a notion of an underlying static world, i.e. it does not explicitly contain a set of non moving regions. Furthermore, the model of time does not have any structure, i.e. time is neither ordered nor required to be discrete or continuous. In this paper we want to investigate two extensions of the basic theory. The first extension considers grounded timed contact algebras that make the underlying static world explicit. In this context we introduce the Axiom of Construction that relates the existence of certain regions and the time structure for the first time. The second addition is given by a betweenness relation on the set of time. In this context we introduce the Axiom of Continuity (CONT), ensuring "smooth'' movement of regions through time. Last but not least, we show that both axioms together do not allow finite models.
Ivo Düntsch, Michael Winter 0001
TIME2
2009 Stonian p-ortholattices: A new approach to the mereotopology RT0
Torsten Hahmann, Michael Winter 0001, Michael Grüninger
Artif. Intell.2
2009 Arrow categories
Michael Winter 0001
Fuzzy Sets Syst.1
2008 Moving Spaces
abstract
Boolean contact algebras constitute a convenient approach to a region based theory of space. In this paper we want to extend this approach to regions moving in time - called timed contact structures. We study their canonical models using topological spaces. As the main contribution we prove a general representation theorem for this kind of algebras.
Ivo Düntsch, Michael Winter 0001
TIME2
2008 A Relation-Algebraic Theory of Bisimulations
Michael Winter 0001
Fundam. Informaticae1
2006 Rough Relation Algebras Revisited
Ivo Düntsch, Michael Winter 0001
Fundam. Informaticae2
2006 On Problems in Polymorphic Object-Oriented Languages With Self Types and Matching
Michael Winter 0001
Fundam. Informaticae1
2005 A representation theorem for Boolean contact algebras
Ivo Düntsch, Michael Winter 0001
Theor. Comput. Sci.2
2003 Representation theory of Goguen categories
Michael Winter 0001
Fuzzy Sets Syst.1
2001 A new algebraic approach to L-fuzzy relations convenient to study crispness
Michael Winter 0001
Inf. Sci.1
1999 A Relation Algebraic Approach to Interaction Categories
Michael Winter 0001
Inf. Sci.1