Results for 'Fuzzy description logics'

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  1.  5
    The limits of decidability in fuzzy description logics with general concept inclusions.Stefan Borgwardt, Felix Distel & Rafael Peñaloza - 2015 - Artificial Intelligence 218 (C):23-55.
  2. Fuzzy Networks for Modeling Shared Semantic Knowledge.Farshad Badie & Luis M. Augusto - 2023 - Journal of Artificial General Intelligence 14 (1):1-14.
    Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy (...) logic as an adequate medium for the representation of human semantic knowledge and propose a means to couple it with fuzzy semantic networks via the propositional Łukasiewicz fuzzy logic such that these suffice for decidability for queries over a semantic-knowledge base such as “to what degree of sharedness does it entail the instantiation C(a) for some concept C” or “what are the roles R that connect the individuals a and b to degree of sharedness ε.” . (shrink)
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  3. Richard Routley postscript: Some setbacks on the choice and descriptions adventure.Descriptions Adventure - 1974 - In Edgar Morscher, Johannes Czermak & Paul Weingartner (eds.), Problems in Logic and Ontology. Akadem. Druck- U. Verlagsanst.. pp. 223.
     
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  4.  30
    On the Decidability Status of Fuzzy A ℒ C with General Concept Inclusions.Franz Baader, Stefan Borgwardt & Rafael Peñaloza - 2015 - Journal of Philosophical Logic 44 (2):117-146.
    The combination of Fuzzy Logics and Description Logics has been investigated for at least two decades because such fuzzy DLs can be used to formalize imprecise concepts. In particular, tableau algorithms for crisp Description Logics have been extended to reason also with their fuzzy counterparts. It has turned out, however, that in the presence of general concept inclusion axioms this extension is less straightforward than thought. In fact, a number of tableau algorithms (...)
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  5.  65
    Principios de programación lógica con información incierta. Descripción de algunos de los sistemas más relevantes (Principles of Logic Programming with Uncertain Information. Description of Some of the Most Relevant Systems).Alejandro Sobrino - 1996 - Theoria 11 (3):123-148.
    EI objetivo de este artículo es presentar los principios de la programación lógica borrosa y de sus principales variantes, ilustrándolas a través de un conjunto de aproximaciones que, a nuestro entender, son representativas de los avances en esta área. También incluimos la descripción de otros sistemas de programación lógica que se sustentan en lógicas de la incertidumbre diferentes de la lógica borrosa. En esta presentación presuponemos que la mayoría de los lectores no son expertos en programación lógica; para seguirla sólo (...)
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  6.  63
    Logical Options: An Introduction to Classical and Alternative Logics.John L. Bell, David DeVidi & Graham Solomon - 2001 - Peterborough, CA: Broadview Press.
    Logical Options introduces the extensions and alternatives to classical logic which are most discussed in the philosophical literature: many-sorted logic, second-order logic, modal logics, intuitionistic logic, three-valued logic, fuzzy logic, and free logic. Each logic is introduced with a brief description of some aspect of its philosophical significance, and wherever possible semantic and proof methods are employed to facilitate comparison of the various systems. The book is designed to be useful for philosophy students and professional philosophers who (...)
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  7.  55
    On the place of fuzzy health in medical theory.Lennart Nordenfelt - 2000 - Journal of Medicine and Philosophy 25 (5):639 – 649.
    This commentary on Sadegh-Zadeh's article 'Fuzzy health, illness and disease,' has its focus on the philosophical background for applying fuzzy logic to medical theory. I concentrate on four issues. First, I contest some of Sadegh-Zadeh's statements on the present state of the theory of medicine, in particular with regard to assumptions ascribed to contemporary theorists. Second, I consider Sadegh-Zadeh's interesting idea that a person can have a disease to varying degrees, from not having it at all to having (...)
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  8. Philosophy of Logics.Susan Haack - 1978 - London and New York: Cambridge University Press.
    The first systematic exposition of all the central topics in the philosophy of logic, Susan Haack's book has established an international reputation for its accessibility, clarity, conciseness, orderliness, and range as well as for its thorough scholarship and careful analyses. Haack discusses the scope and purpose of logic, validity, truth-functions, quantification and ontology, names, descriptions, truth, truth-bearers, the set-theoretical and semantic paradoxes, and modality. She also explores the motivations for a whole range of non-classical systems of logic, including many-valued (...), fuzzy logic, moddal and tense logics, and relevance logics. Persupposing only an elementary knowledge of formal logic, this book includes many useful summary tables and diagrams, as well as a helpful glossary of technical terms. Wide-ranging, informative, and eminently readable, this book has proven a valuable resource for generations of students and scholars in a variety of disciplines outside philosophy needing guidance on the philosophy of logic. (shrink)
  9.  23
    Vagueness in Medicine: On Disciplinary Indistinctness, Fuzzy Phenomena, Vague Concepts, Uncertain Knowledge, and Fact-Value-Interaction.Bjørn Hofmann - 2022 - Axiomathes 32 (6):1151-1168.
    This article investigates five kinds of vagueness in medicine: disciplinary, ontological, conceptual, epistemic, and vagueness with respect to descriptive-prescriptive connections. First, medicine is a discipline with unclear borders, as it builds on a wide range of other disciplines and subjects. Second, medicine deals with many indistinct phenomena resulting in borderline cases. Third, medicine uses a variety of vague concepts, making it unclear which situations, conditions, and processes that fall under them. Fourth, medicine is based on and produces uncertain knowledge and (...)
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  10. A Logical Analysis Of Singular Terms.Jean-Yves Béziau - 1999 - Sorites 10:6-14.
    We analyse the behaviour of definite descriptions and proper names terms in mathematical logic. We show that in formal arithmetic, wether some axioms are fixed or not, proper names cannot be considered rigid designators and have the same behaviour as definite descriptions. In set theory, sometimes two names for the same object are introduced. It seems that this can be explained by the notion of meaning. The meaning of such proper names can be considered as fuzzy sets of equivalent (...)
     
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  11.  8
    Providing a Multiproduct and Multiperiodic Model for Closed-Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market.Leila Lagzaie & Ali Hamzehee - 2022 - Complexity 2022:1-11.
    Many organizations must adjust their supply chains and business environments to remain competitive and retain market share. However, despite the benefits of such developments for organizations, they can lead to supply chain disruptions in many cases. An essential aspect of modern organizations is closed-loop supply chain management, which reduces risk by coordinating processes. This paper presents a mathematical model of a closed-loop green supply chain under uncertain conditions. A detailed description of the model and current assumptions for a specific (...)
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  12. A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics.Antonio Lieto & Gian Luca Pozzato - 2019 - Journal of Experimental and Theoretical Artificial Intelligence:1-39.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality (...)
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  13. A Description Logic of Typicality for Conceptual Combination.Antonio Lieto & Gian Luca Pozzato - 2018 - In Antonio Lieto & Gian Luca Pozzato (eds.), Proceedings of ISMIS 18. Springer.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive (...)
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  14.  62
    Fuzzy Horn logic I.Radim Bělohlávek & Vilém Vychodil - 2006 - Archive for Mathematical Logic 45 (1):3-51.
    The paper presents generalizations of results on so-called Horn logic, well-known in universal algebra, to the setting of fuzzy logic. The theories we consider consist of formulas which are implications between identities (equations) with premises weighted by truth degrees. We adopt Pavelka style: theories are fuzzy sets of formulas and we consider degrees of provability of formulas from theories. Our basic structure of truth degrees is a complete residuated lattice. We derive a Pavelka-style completeness theorem (degree of provability (...)
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  15.  42
    Fuzzy equational logic.Radim Bělohlávek - 2002 - Archive for Mathematical Logic 41 (1):83-90.
    Presented is a completeness theorem for fuzzy equational logic with truth values in a complete residuated lattice: Given a fuzzy set Σ of identities and an identity p≈q, the degree to which p≈q syntactically follows (is provable) from Σ equals the degree to which p≈q semantically follows from Σ. Pavelka style generalization of well-known Birkhoff's theorem is therefore established.
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  16.  7
    Description Logic Handbook.Franz Baader (ed.) - 2003 - Cambridge University Press.
    The Description Logic Handbook covers all aspects of the research in the field of knowledge representation. Written by some of the most prominent researchers in the field, and covering the basic technical material and implementational aspects, it is both a unique reference and a self-study guide.
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  17. Fuzzy Horn logic II.R. B.? Lohl├ Ívek & V. M. Vychodil - 2006 - Archive for Mathematical Logic 45 (2):149.
     
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  18. Fuzzy equational logic.Radim B.& X. B.. Lohl& X. 000 E. 1 vek - 2002 - Archive for Mathematical Logic 41 (1):83-90.
     
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  19.  46
    Fuzzy Horn logic II.Radim Bělohlávek & Vilém Vychodil - 2006 - Archive for Mathematical Logic 45 (2):149-177.
    The paper studies closure properties of classes of fuzzy structures defined by fuzzy implicational theories, i.e. theories whose formulas are implications between fuzzy identities. We present generalizations of results from the bivalent case. Namely, we characterize model classes of general implicational theories, finitary implicational theories, and Horn theories by means of closedness under suitable algebraic constructions.
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  20.  41
    Fuzzy propositional logic. Algebraic approach.Slava Meskhi - 1977 - Studia Logica 36 (3):189 - 194.
    The present paper contains some technical results on a many-valued logic with truth values from the interval of real numbers [0; 1]. This logic, discussed originally in [1], latter in [2] and [3], was called the logic of fuzzy concepts. Our aim is to give an algebraic axiomatics for fuzzy propositional logic. For this purpose the variety of L-algebras with signature en- riched with a unary operation { involution is stud- ied. A one-to-one correspondence between congruences on an (...)
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  21. Fuzzy description: discovery and invention in sociology.Philip Manning - 1994 - History of the Human Sciences 7 (1):117-123.
  22. Fuzzy Horn logic I.Radim Lohlavek & Vilem Vychodil - 2006 - Archive for Mathematical Logic 45 (1):3-52.
     
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  23. Fuzzy Horn logic II.Radim Lohlavek & Vilem Vychodil - 2006 - Archive for Mathematical Logic 45 (2):149-178.
     
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  24.  15
    A description logic framework for advanced accessing and reasoning over normative provisions.Enrico Francesconi - 2014 - Artificial Intelligence and Law 22 (3):291-311.
    A model of normative provisions and related axioms represented by using RDF/owl are presented as a contribution to implement the semantic web in the legal domain. In particular, a pattern able to implement the Hohfeldian legal fundamental relations between provisions using OWL-DL expressivity is proposed. Moreover, a query-based approach able to deal with relations between provision instances is described. An example of advanced access and reasoning over provisions using the proposed approach, as well as a prototype architecture of a provision (...)
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  25.  25
    A Description Logic Based Knowledge Representation Model for Concept Understanding.Farshad Badie - 2017 - In Jasper van den Herik, A. Rocha & J. Filipe (eds.), Agents and Artificial Intelligence. Springer.
    This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure (...)
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  26.  12
    An Algebraic Proof of Completeness for Monadic Fuzzy Predicate Logic.Jun Tao Wang & Hongwei Wu - forthcoming - Review of Symbolic Logic:1-27.
    Monoidal t-norm based logic $\mathbf {MTL}$ is the weakest t-norm based residuated fuzzy logic, which is a $[0,1]$ -valued propositional logical system having a t-norm and its residuum as truth function for conjunction and implication. Monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ that consists of the formulas with unary predicates and just one object variable, is the monadic fragment of fuzzy predicate logic $\mathbf {MTL\forall }$, which is indeed the predicate version of monoidal t-norm based logic $\mathbf (...)
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  27.  85
    Substructural Fuzzy-Relevance Logic.Eunsuk Yang - 2015 - Notre Dame Journal of Formal Logic 56 (3):471-491.
    This paper proposes a new topic in substructural logic for use in research joining the fields of relevance and fuzzy logics. For this, we consider old and new relevance principles. We first introduce fuzzy systems satisfying an old relevance principle, that is, Dunn’s weak relevance principle. We present ways to obtain relevant companions of the weakening-free uninorm systems introduced by Metcalfe and Montagna and fuzzy companions of the system R of relevant implication and its neighbors. The (...)
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  28.  31
    An Application of Peircean Triadic Logic: Modelling Vagueness.Asim Raza, Asim D. Bakhshi & Basit Koshul - 2019 - Journal of Logic, Language and Information 28 (3):389-426.
    Development of decision-support and intelligent agent systems necessitates mathematical descriptions of uncertainty and fuzziness in order to model vagueness. This paper seeks to present an outline of Peirce’s triadic logic as a practical new way to model vagueness in the context of artificial intelligence. Charles Sanders Peirce was an American scientist–philosopher and a great logician whose triadic logic is a culmination of the study of semiotics and the mathematical study of anti-Cantorean model of continuity and infinitesimals. After presenting Peircean semiotics (...)
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  29.  49
    Pavelka-style fuzzy justification logics.Meghdad Ghari - 2016 - Logic Journal of the IGPL 24 (5):743-773.
    Justification logics provide a framework for reasoning about justifications and evidence. In this article, we study a fuzzy variant of justification logics in which an agent’s justification for a belief has certainty degree between 0 and 1. We replace the classical base of justification logics with Hájek’s rational Pavelka logic. We introduce fuzzy possible world semantics with crisp accessibility relation and also single world models for our logics. We establish soundness and graded-style completeness for (...)
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  30. An Occurrence Description Logic.Farshad Badie & Hans Götzsche - forthcoming - Logical Investigations:142-156.
    Description Logics (DLs) are a family of well-known terminological knowledge representation formalisms in modern semantics-based systems. This research focuses on analysing how our developed Occurrence Logic (OccL) can conceptually and logically support the development of a description logic. OccL is integrated into the alternative theory of natural language syntax in `Deviational Syntactic Structures' under the label `EFA(X)3' (or the third version of Epi-Formal Analysis in Syntax, EFA(X), which is a radical linguistic theory). From the logical point of (...)
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  31. Towards World Identification in Description Logics.Farshad Badie - forthcoming - Logical Investigations:115–134.
    Logical analysis of the applicability of nominals (which are introduced by hybrid logic) in the formal descriptions of the world (within modern knowledge representation and semantics-based systems) is very important because nominals, as second sorts of propositional symbols, can support logical identification of the described world at specific [temporal and/or spacial] states. This paper will focus on answering the philosophical-logical question of ‘how a fundamental world description in description logic (DL) and a nominal can be related to each (...)
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  32.  30
    Well‐Defined Fuzzy Sentential Logic.Esko Turunen - 1995 - Mathematical Logic Quarterly 41 (2):236-248.
    A many-valued sentential logic with truth values in an injective MV-algebra is introduced and the axiomatizability of this logic is proved. The paper develops some ideas of Goguen and generalizes the results of Pavelka on the unit interval. The proof for completeness is purely algebraic. A corollary of the Completeness Theorem is that fuzzy logic on the unit interval is semantically complete if and only if the algebra of the truth values is a complete MV-algebra. In the well-defined (...) sentential logic holds the Compactness Theorem, while the Deduction Theorem and the Finiteness Theorem in general do not hold. Because of its generality and good-behaviour, MV-valued logic can be regarded as a mathematical basis of fuzzy reasoning. (shrink)
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  33.  41
    Monadic fuzzy predicate logics.Petr Hájek - 2002 - Studia Logica 71 (2):165-175.
    Two variants of monadic fuzzy predicate logic are analyzed and compared with the full fuzzy predicate logic with respect to finite model property (properties) and arithmetical complexity of sets of tautologies, satisfiable formulas and of analogous notion restricted to finite models.
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  34.  34
    Continuous fuzzy Horn logic.Vilém Vychodil - 2006 - Mathematical Logic Quarterly 52 (2):171-186.
    The paper deals with fuzzy Horn logic which is a fragment of predicate fuzzy logic with evaluated syntax. Formulas of FHL are of the form of simple implications between identities. We show that one can have Pavelka-style completeness of FHL w.r.t. semantics over the unit interval [0, 1] with left-continuous t-norm and a residuated implication, provided that only certain fuzzy sets of formulas are considered. The model classes of fuzzy structures of FHL are characterized by closure (...)
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  35.  3
    A Fuzzy Clustering Logic Life Loss Risk Evaluation Model for Dam-Break Floods.Yantao Zhu, Xinqiang Niu, Chongshi Gu, Bo Dai & Lixian Huang - 2021 - Complexity 2021:1-14.
    A dam is a complex and important water-retaining structure. Once the dam is broken, the flood will cause immeasurable damage to the lives and properties of the downstream people, so it is particularly important to have the dam risk management. Since the dam-break flood is a severe-consequence low-frequency event, the corresponding fatalities caused by it are difficult to estimate due to the lack of relevant data and poor data continuity. This paper analyzes the direct and indirect factors affecting the risk (...)
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  36.  22
    An Algebraic Proof of Completeness for Monadic Fuzzy Predicate Logic Mmtl∀ – Erratum.Juntao Wang, W. U. Hongwei, H. E. Pengfei & S. H. E. Yanhong - forthcoming - Review of Symbolic Logic:1-1.
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  37.  23
    Arithmetical complexity of fuzzy predicate logics—a survey II.Petr Hájek - 2010 - Annals of Pure and Applied Logic 161 (2):212-219.
    Results on arithmetical complexity of important sets of formulas of several fuzzy predicate logics are surveyed and some new results are proven.
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  38.  14
    An Introduction to Description Logic.Franz Baader, Ian Horrocks, Carsten Lutz & Uli Sattler - 2017 - Cambridge, England: Cambridge University Press.
    The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.
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  39.  8
    Description Logics with Concrete Domains- A Survey.Carsten Lutz - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 265-296.
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  40. Dynamic Description Logics.Frank Wolter & Michael Zakharyaschev - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 449-463.
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  41. Dynamic Description Logics.Frank Wolter & Michael Zakharyaschev - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 449-463.
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  42.  28
    Description logics for relative terminologies.Szymon Klarman - 2010 - In T. Icard & R. Muskens (eds.), Interfaces: Explorations in Logic, Language and Computation. Springer Berlin. pp. 124--141.
  43.  23
    A Note on a Description Logic of Concept and Role Typicality for Defeasible Reasoning Over Ontologies.Ivan Varzinczak - 2018 - Logica Universalis 12 (3-4):297-325.
    In this work, we propose a meaningful extension of description logics for non-monotonic reasoning. We introduce \, a logic allowing for the representation of and reasoning about both typical class-membership and typical instances of a relation. We propose a preferential semantics for \ in terms of partially-ordered DL interpretations which intuitively captures the notions of typicality we are interested in. We define a tableau-based algorithm for checking \ knowledge-base consistency that always terminates and we show that it is (...)
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  44.  8
    A non-monotonic Description Logic for reasoning about typicality.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2013 - Artificial Intelligence 195 (C):165-202.
  45. Generalized fuzzy quantum logics.J. Pykacz - forthcoming - Foundations of Physics.
     
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  46.  20
    Unification in modal and description logics.Franz Baader & Silvio Ghilardi - 2011 - Logic Journal of the IGPL 19 (6):705-730.
    Unification was originally introduced in automated deduction and term rewriting, but has recently also found applications in other fields. In this article, we give a survey of the results on unification obtained in two closely related, yet different, application areas of unification: description logics and modal logics.
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  47.  6
    Corrigendum to “A Fuzzy Clustering Logic Life Loss Risk Evaluation Model for Dam-Break Floods”.Yantao Zhu, Xinqiang Niu, Chongshi Gu, Bo Dai & Lixian Huang - 2022 - Complexity 2022:1-1.
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  48. Ontology and medical terminology: Why description logics are not enough.Werner Ceusters, Barry Smith & Jim Flanagan - 2003 - In Proceedings of the Conference: Towards an Electronic Patient Record (TEPR 2003). Boston, MA: Medical Records Institute.
    Ontology is currently perceived as the solution of first resort for all problems related to biomedical terminology, and the use of description logics is seen as a minimal requirement on adequate ontology-based systems. Contrary to common conceptions, however, description logics alone are not able to prevent incorrect representations; this is because they do not come with a theory indicating what is computed by using them, just as classical arithmetic does not tell us anything about the entities (...)
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  49.  62
    On elementary equivalence in fuzzy predicate logics.Pilar Dellunde & Francesc Esteva - 2013 - Archive for Mathematical Logic 52 (1-2):1-17.
    Our work is a contribution to the model theory of fuzzy predicate logics. In this paper we characterize elementary equivalence between models of fuzzy predicate logic using elementary mappings. Refining the method of diagrams we give a solution to an open problem of Hájek and Cintula (J Symb Log 71(3):863–880, 2006, Conjectures 1 and 2). We investigate also the properties of elementary extensions in witnessed and quasi-witnessed theories, generalizing some results of Section 7 of Hájek and Cintula (...)
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  50.  37
    Designing visual languages for description logics.Brian R. Gaines - 2009 - Journal of Logic, Language and Information 18 (2):217-250.
    Semantic networks were developed in cognitive science and artificial intelligence studies as graphical knowledge representation and inference tools emulating human thought processes. Formal analysis of the representation and inference capabilities of the networks modeled them as subsets of standard first-order logic (FOL), restricted in the operations allowed in order to ensure the tractability that seemed to characterize human reasoning capabilities. The graphical network representations were modeled as providing a visual language for the logic. Sub-sets of FOL targeted on knowledge representation (...)
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