Results for 'vagueness, vague sets, rough sets, vague knowledge, approximation, sharp terms, vague terms, denotation, fuzzy sets, multisets, algebraic operations'

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  1. Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Sixth volume: Various New Uncertain Concepts (Collected Papers).Takaaki Fujita & Florentin Smarandache - 2025 - Gallup, NM, USA: NSIA Publishing House.
    This book is the sixth volume in the series of Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Building upon the foundational contributions of previous volumes, this edition focuses on the exploration and development of Various New Uncertain Concepts, further enriching the study of uncertainty and complexity through innovative theoretical advancements and practical applications. The volume is meticulously organized into 15 chapters, each presenting unique perspectives and contributions to the (...)
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  2.  25
    Some algebras and logics from quasiorder-generated covering-based approximation spaces.Arun Kumar & Mohua Banerjee - 2024 - Journal of Applied Non-Classical Logics 34 (2):248-268.
    In A. Kumar, & M. Banerjee [(2012). Definable and rough sets in covering-based approximation spaces. In T. Li. (eds.), Rough sets and knowledge technology (pp. 488–495). Springer-Verlag], A. Kumar, & M. Banerjee [(2015). Algebras of definable and rough sets in quasi order-based approximation spaces. Fundamenta Informaticae, 141(1), 37–55], authors proposed a pair of lower and upper approximation operators based on granules generated by quasiorders. This work is an extension of algebraic results presented therein. A characterisation has (...)
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  3.  47
    Vagueness and Formal Fuzzy Logic: Some Criticisms.Giangiacomo Gerla - 2017 - Logic and Logical Philosophy 26 (4):431-460.
    In the common man reasoning the presence of vague predicates is pervasive and under the name “fuzzy logic in narrow sense” or “formal fuzzy logic” there are a series of attempts to formalize such a kind of phenomenon. This paper is devoted to discussing the limits of these attempts both from a technical point of view and with respect the original and principal task: to define a mathematical model of the vagueness. For example, one argues that, since (...)
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  4.  11
    Multilattice as the set of truth values for fuzzy rough sets.G. Nguepy Dongmo, B. B. Koguep Njionou, L. Kwuida & M. Onabid - forthcoming - Journal of Applied Non-Classical Logics:1-20.
    Radzikowska and Kerre developed L-fuzzy rough set as a fuzzy generalisation of the notion of rough sets. Specifically, they have taken a residuated lattice L as the underlying set of truth degrees. However, in real life, we may encounter situations where truth degrees are not always linear, or where the existence of the least upper bound of two elements is no longer required. Instead, there may be the possibility of having minimal upper bounds, and dually, maximal (...)
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  5. Logic of vague concepts.E. S. Orlowska - 1982 - Bulletin of the Section of Logic 11 (3-4):115-126.
    This paper contains a logic enabling us to reason in the presence of vague- ness phenomena. We consider an epistemological vagueness of concepts caused by the unavailability of total information about a continuous world which we describe in observational terms. Lack of information is manifested by the existence of borderline cases for concepts. Since we are unable to perceive concepts exactly, we cannot establish a sharp boundary between an extension of a concept and its complement. Some results for (...)
     
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  6.  54
    Information Completeness in Nelson Algebras of Rough Sets Induced by Quasiorders.Jouni Järvinen, Piero Pagliani & Sándor Radeleczki - 2013 - Studia Logica 101 (5):1073-1092.
    In this paper, we give an algebraic completeness theorem for constructive logic with strong negation in terms of finite rough set-based Nelson algebras determined by quasiorders. We show how for a quasiorder R, its rough set-based Nelson algebra can be obtained by applying Sendlewski’s well-known construction. We prove that if the set of all R-closed elements, which may be viewed as the set of completely defined objects, is cofinal, then the rough set-based Nelson algebra determined by (...)
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  7.  40
    Calculus of Contextual Rough Sets in Contextual Spaces.Edward Bryniarski & Urszula Wybraniec-Skardowska - 1998 - Journal of Applied Non-Classical Logics 8 (1):9-26.
    The work broadens – to a considerable extent – Z. Pawlak’s original method (1982, 1992) of approximation of sets. The approximation of sets included in a universum U goes on in the contextual approximation space CAS which consists of: 1) a sequence of Pawlak’s approximation spaces (U,Ci), where indexes i from set I are linearly ordered degrees of contexts (I, <), and Ci is the universum partition U, 2) a sequence of binary relations on sets included in U, relations called (...)
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  8.  41
    Fuzzy modal-like approximation operators based on double residuated lattices.Anna Maria Radzikowska - 2006 - Journal of Applied Non-Classical Logics 16 (3-4):485-506.
    In many applications we have a set of objects together with their properties. Since the available information is usually incomplete and/or imprecise, the true knowledge about subsets of objects can be determined approximately only. In this paper, we discuss a fuzzy generalisation of two pairs of relation-based operators suitable for fuzzy set approximations, which have been recently investigated by Düntsch and Gediga. Double residuated lattices, introduced by Orlowska and Radzikowska, are taken as basic algebraic structures. Main properties (...)
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  9.  19
    Roughness of Filters in Equality Algebras.Gholam Reza Rezaei, Rajab Ali Borzooei, Mona Aaly Kologani & Young Bae Jun - 2023 - Bulletin of the Section of Logic 52 (1):1-18.
    Rough set theory is an excellent mathematical tool for the analysis of a vague description of actions in decision problems. Now, in this paper by considering the notion of an equality algebra, the notion of the lower and the upper approximations are introduced and some properties of them are given. Moreover, it is proved that the lower and the upper approximations define an interior operator and a closure operator, respectively. Also, using D-lower and D-upper approximation, conditions for a (...)
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  10. Algebraic structures of neutrosophic triplets, neutrosophic duplets, or neutrosophic multisets. Volume II.Florentin Smarandache, Xiaohong Zhang & Mumtaz Ali - 2019 - Basel, Switzerland: MDPI.
    The topics approached in this collection of papers are: neutrosophic sets; neutrosophic logic; generalized neutrosophic set; neutrosophic rough set; multigranulation neutrosophic rough set (MNRS); neutrosophic cubic sets; triangular fuzzy neutrosophic sets (TFNSs); probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; neutro-homomorphism; neutrosophic computation; quantum computation; neutrosophic association rule; data mining; big data; oracle Turing machines; recursive enumerability; oracle computation; interval number; dependent degree; possibility degree; power aggregation operators; multi-criteria group decision-making (MCGDM); expert set; soft sets; LA-semihypergroups; single (...)
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  11.  38
    Granular knowledge and rational approximation in general rough sets – I.A. Mani - 2024 - Journal of Applied Non-Classical Logics 34 (2):294-329.
    Rough sets are used in numerous knowledge representation contexts and are then empowered with varied ontologies. These may be intrinsically associated with ideas of rationality under certain conditions. In recent papers, specific granular generalisations of graded and variable precision rough sets are investigated by the present author from the perspective of rationality of approximations (and the associated semantics of rationality in approximate reasoning). The studies are extended to ideal-based approximations (sometimes referred to as subsethood-based approximations). It is additionally (...)
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  12. Algebraic structures of neutrosophic triplets, neutrosophic duplets, or neutrosophic multisets. Volume I.Florentin Smarandache, Xiaohong Zhang & Mumtaz Ali - 2018 - Basel, Switzerland: MDPI. Edited by Florentin Smarandache, Xiaohong Zhang & Mumtaz Ali.
    The topics approached in the 52 papers included in this book are: neutrosophic sets; neutrosophic logic; generalized neutrosophic set; neutrosophic rough set; multigranulation neutrosophic rough set (MNRS); neutrosophic cubic sets; triangular fuzzy neutrosophic sets (TFNSs); probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; neutro-homomorphism; neutrosophic computation; quantum computation; neutrosophic association rule; data mining; big data; oracle Turing machines; recursive enumerability; oracle computation; interval number; dependent degree; possibility degree; power aggregation operators; multi-criteria group decision-making (MCGDM); expert set; soft (...)
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  13.  29
    Kripke Contexts, Double Boolean Algebras with Operators and Corresponding Modal Systems.Prosenjit Howlader & Mohua Banerjee - 2023 - Journal of Logic, Language and Information 32 (1):117-146.
    The notion of a context in formal concept analysis and that of an approximation space in rough set theory are unified in this study to define a Kripke context. For any context (G,M,I), a relation on the set G of objects and a relation on the set M of properties are included, giving a structure of the form ((G,R), (M,S), I). A Kripke context gives rise to complex algebras based on the collections of protoconcepts and semiconcepts of the underlying (...)
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  14.  45
    Generalized rough sets (preclusivity fuzzy-intuitionistic (BZ) lattices).Gianpiero Cattaneo - 1997 - Studia Logica 58 (1):47-77.
    The standard Pawlak approach to rough set theory, as an approximation space consisting of a universe U and an equivalence (indiscernibility) relation R U x U, can be equivalently described by the induced preclusivity ("discernibility") relation U x U \ R, which is irreflexive and symmetric.We generalize the notion of approximation space as a pair consisting of a universe U and a discernibility or preclusivity (irreflexive and symmetric) relation, not necessarily induced from an equivalence relation. In this case the (...)
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  15. Fuzzy logic and approximate reasoning.L. A. Zadeh - 1975 - Synthese 30 (3-4):407-428.
    The term fuzzy logic is used in this paper to describe an imprecise logical system, FL, in which the truth-values are fuzzy subsets of the unit interval with linguistic labels such as true, false, not true, very true, quite true, not very true and not very false, etc. The truth-value set, , of FL is assumed to be generated by a context-free grammar, with a semantic rule providing a means of computing the meaning of each linguistic truth-value in (...)
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  16. Rough Standard Neutrosophic Sets: An Application on Standard Neutrosophic Information Systems.Nguyen Xuan Thao, Bui Cong Cuong & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 14:80-92.
    A rough fuzzy set is the result of the approximation of a fuzzy set with respect to a crisp approximation space. It is a mathematical tool for the knowledge discovery in the fuzzy information systems. In this paper, we introduce the concepts of rough standard neutrosophic sets and standard neutrosophic information system, and give some results of the knowledge discovery on standard neutrosophic information system based on rough standard neutrosophic sets.
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  17. Fuzzy-set representation and processing of fuzzy images: non-linguistic vagueness as representation, approximation and scientific practice.Jordi Cat - 2015 - Archives for the Philosophy and History of Soft Computing 2015 (1).
    This is the first part of a two-part paper in which I conclude the process, initiated elsewhere, of tracking objective conditions of vagueness of representation from language to pictures, from philosophy to imaging science, from vagueness to approximation, from representation to reasoning, with a focus on the application of fuzzy set theory and its challenges.
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  18.  91
    Introduction:" Abominable Clearness".Jeffrey M. Perl & Natalie Zemon Davis - 2011 - Common Knowledge 17 (3):441-449.
    In this introduction to Part 1 of the Common Knowledge symposium, “Fuzzy Studies,” the journal's editor discusses four essays from the 1980s by Richard Rorty, in which Rorty chose to associate himself with various neopragmatists, Continental thinkers, and “left-wing Kuhnians” under the rubric of the “new fuzziness.” The term had been introduced as an insult by a philosopher of science with positivist leanings, but Rorty took it up as an “endearing” compliment, arguing that “to be less fuzzy” was (...)
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  19. Fuzzy Logic.Kazem Sadegh-Zadeh - 2011 - In Handbook of Analytic Philosophy of Medicine. Dordrecht, Heidelberg, New York, London: Springer.
    Medical knowledge as well as clinical practice are characterized by inescapable uncertainty. There are many reasons this is the case, but foremost among them is that almost everything in medicine is inevitably vague, be it something linguistic such as the term “illness”, or something extra-linguistic such as the condition referred to as illness. If we ask ourselves, then, what the term “illness” means exactly, on the one hand; and how we may precisely delimit the condition illness, on the other; (...)
     
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  20.  3
    Crypto-preorders, topological relations, information and logic.Piero Pagliani International Rough Set Society, Rome & Italy - 2024 - Journal of Applied Non-Classical Logics 34 (2):330-367.
    As is well known, any preorder R on a set U induces an Alexandrov topology on U. In some interesting cases related to data mining an Alexandrov topology can be transformed into different types of logico-algebraic models. In some cases, (pre)topological operators provided by Pointless Topology may define a topological space on U even if R is not a preorder. If this is the case, then we call R a crypto-preorder. The paper studies the conditions under which a relation (...)
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  21.  22
    Fuzzy Logic and Mathematics: A Historical Perspective.Radim Bělohlávek, Joseph W. Dauben & George J. Klir - 2017 - Oxford, England and New York, NY, USA: Oxford University Press. Edited by Joseph Warren Dauben & George J. Klir.
    The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy logic, these classical truth values are not abandoned. However, additional, intermediate truth values between true and false are allowed, which are interpreted as degrees of truth. This (...)
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  22. O konceptualizacji wiedzy nieostrej.Urszula Wybraniec-Skardowska - 1996 - Filozofia Nauki 3.
    In the article the problem of imprecise information and concepts is considered. The theory of rough sets and the theory of fuzzy sets are used to provide an original solution to this problem.
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  23.  37
    On representation of indeterminate identity via vague concepts.M. K. Chakraborty & A. Chatterjee - 1996 - Journal of Applied Non-Classical Logics 6 (2):191-201.
    ABSTRACT Vague concepts are represented by L-fuzzy sets. It is argued that any vague concept carries with it an approximate identity which is a fuzzy equivalence relation. The relation also fulfills the criterion of ? indiscernibility of Identicals ?, which is called ? saturatedness ? in this context. An application in knowledge representation is indicated.
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  24.  19
    Approximate reasoning and the ethnomathematics of cooking.A. Mani - 2023 - Prometeica - Revista De Filosofía Y Ciencias 27:295-305.
    Several methods of approximate reasoning are known, and many remain to be discovered across domains. Some are tied to reasoning with uncertainty. The developments over the last fifty years or so in the development of approximate reasoning methods, and their application across multiple STEM domains, suggest that it is necessary to introduce them early in school. While efforts towards building the infrastructure for the process have been limited, the bigger question is “What should be introduced?”. If concepts are always approximated (...)
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  25.  16
    Constructing a Hoop Using Rough Filters.Rajab Ali Borzooei & Elham Babaei - 2022 - Bulletin of the Section of Logic 51 (3):363-382.
    When it comes to making decisions in vague problems, rough is one of the best tools to help analyzers. So based on rough and hoop concepts, two kinds of approximations (Lower and Upper) for filters in hoops are defined, and then some properties of them are investigated by us. We prove that these approximations- lower and upper- are interior and closure operators, respectively. Also after defining a hyper operation in hoops, we show that by using this hyper (...)
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  26. Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Fifth volume: Various SuperHyperConcepts (Collected Papers).Fujita Takaaki & Florentin Smarandache - 2025 - Gallup, NM, USA: NSIA Publishing House.
    This book is the fifth volume in the series of Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. This volume specifically delves into the concept of Various SuperHyperConcepts, building on the foundational advancements introduced in previous volumes. The series aims to explore the ongoing evolution of uncertain combinatorics through innovative methodologies such as graphization, hyperization, and uncertainization. These approaches integrate and extend core concepts from fuzzy, neutrosophic, soft, and (...)
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  27.  25
    Kleene Algebras and Logic: Boolean and Rough Set Representations, 3-Valued, Rough Set and Perp Semantics.Arun Kumar & Mohua Banerjee - 2017 - Studia Logica 105 (3):439-469.
    A structural theorem for Kleene algebras is proved, showing that an element of a Kleene algebra can be looked upon as an ordered pair of sets, and that negation with the Kleene property is describable by the set-theoretic complement. The propositional logic \ of Kleene algebras is shown to be sound and complete with respect to a 3-valued and a rough set semantics. It is also established that Kleene negation can be considered as a modal operator, due to a (...)
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  28.  37
    Algebraic Structures Arising in Axiomatic Unsharp Quantum Physics.Gianpiero Cattaneo & Stanley Gudder - 1999 - Foundations of Physics 29 (10):1607-1637.
    This article presents and compares various algebraic structures that arise in axiomatic unsharp quantum physics. We begin by stating some basic principles that such an algebraic structure should encompass. Following G. Mackey and G. Ludwig, we first consider a minimal state-effect-probability (minimal SEFP) structure. In order to include partial operations of sum and difference, an additional axiom is postulated and a SEFP structure is obtained. It is then shown that a SEFP structure is equivalent to an effect (...)
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  29.  30
    Cellularity of Pseudo-Tree Algebras.Jennifer Brown - 2006 - Notre Dame Journal of Formal Logic 47 (3):353-359.
    Recall that for any Boolean algebra (BA) A, the cellularity of A is c(A) = sup{|X| : X is a pairwise-disjoint subset of A}. A pseudo-tree is a partially ordered set (T, ≤) such that for every t in T, the set {r ∊ T : r ≤ t} is a linear order. The pseudo-tree algebra on T, denoted Treealg(T), is the subalgebra of ℘(T) generated by the cones {r ∊ T : r ≥ t}, for t in T. We (...)
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  30.  21
    Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection.Ateeq Ur Rehman, Muhammad Gulistan, Nasreen Kausar, Sajida Kousar, Mohammed M. Al-Shamiri & Rashad Ismail - 2022 - Complexity 2022:1-16.
    The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision-making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set. The algebraic operations based on Dombi norms and co-norms are more flexible than the usual algebraic operations as they involve an operational parameter. First, this paper establishes Dombi algebraic operational laws, score functions, and similarity measures in neutrosophic cubic hesitant fuzzy sets. (...)
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  31.  27
    Mathematics Behind Fuzzy Logic.Esko Turunen - 1999 - Physica-Verlag Heidelberg.
    Many results in fuzzy logic depend on the mathematical structure the truth value set obeys. In this textbook the algebraic foundations of many-valued and fuzzy reasoning are introduced. The book is self-contained, thus no previous knowledge in algebra or in logic is required. It contains 134 exercises with complete answers, and can therefore be used as teaching material at universities for both undergraduated and post-graduated courses. Chapter 1 starts from such basic concepts as order, lattice, equivalence and (...)
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  32.  78
    The logic of Peirce algebras.Maarten De Rijke - 1995 - Journal of Logic, Language and Information 4 (3):227-250.
    Peirce algebras combine sets, relations and various operations linking the two in a unifying setting. This paper offers a modal perspective on Peirce algebras. Using modal logic a characterization of the full Peirce algebras is given, as well as a finite axiomatization of their equational theory that uses so-called unorthodox derivation rules. In addition, the expressive power of Peirce algebras is analyzed through their connection with first-order logic, and the fragment of first-order logic corresponding to Peirce algebras is described (...)
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  33.  42
    The logic of Peirce algebras.Maarten Rijke - 1995 - Journal of Logic, Language and Information 4 (3):227-250.
    Peirce algebras combine sets, relations and various operations linking the two in a unifying setting. This paper offers a modal perspective on Peirce algebras. Using modal logic as a characterization of the full Peirce algebras is given, as well as a finite axiomatization of their equational theory that uses so-called unorthodox derivation rules. In addition, the expressive power of Peirce algebras is analyzed through their connection with first-order logic and the fragment of first-order logic corresponding to Peirce algebras is (...)
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  34.  75
    On sharp boundaries for vague terms.R. Weintraub - 2004 - Synthese 138 (2):233 - 245.
    The postulation by the “epistemic” theory of vagueness of a cut-off point between heaps and non-heaps has made it seem incredible. Surely, the critics argue, a vague predicate doesn’t divide the universe into a set and its complement. I argue in response that an objection of a similar kind can be leveled against most theories of vagueness. The only two which avoid it are untenable. The objection is less compelling than it initially seems. However, even when this obstacle is (...)
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  35.  64
    A New–old Characterisation of Logical Knowledge.Ivor Grattan-Guinness - 2012 - History and Philosophy of Logic 33 (3):245 - 290.
    We seek means of distinguishing logical knowledge from other kinds of knowledge, especially mathematics. The attempt is restricted to classical two-valued logic and assumes that the basic notion in logic is the proposition. First, we explain the distinction between the parts and the moments of a whole, and theories of ?sortal terms?, two theories that will feature prominently. Second, we propose that logic comprises four ?momental sectors?: the propositional and the functional calculi, the calculus of asserted propositions, and rules for (...)
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  36.  37
    Rough Subsumption Reasoning with rOWL.C. Maria Keet - unknown
    There are various recent efforts to broaden applications of ontologies with vague knowledge, motivated in particular by applications of bio(medical)-ontologies, as well as to enhance rough set information systems with a knowledge representation layer by giving more attention to the intension of a rough set. This requires not only representation of vague knowledge but, moreover, reasoning over it to make it interesting for both ontology engineering and rough set information systems. We propose a minor extension (...)
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  37. Some guidelines for fuzzy sets application in legal reasoning.Jacky Legrand - 1999 - Artificial Intelligence and Law 7 (2-3):235-257.
    As an introduction to our work, we emphasize the parallel interpretation of abstract tools and the concepts of undetermined and vague information. Imprecision, uncertainty and their relationships are inspected. Suitable interpretations of the fuzzy sets theory are applied to legal phenomena in an attempt to clearly circumscribe the possible applications of the theory. The fundamental notion of reference sets is examined in detail, hence highlighting their importance. A systematic and combinatorial classification of the relevant subsets of the legal (...)
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  38.  11
    Certain Types of Covering-Based Multigranulation ( ℐ, T )-Fuzzy Rough Sets with Application to Decision-Making.Jue Ma, Mohammed Atef, Shokry Nada & Ashraf Nawar - 2020 - Complexity 2020:1-20.
    As a generalization of Zhan’s method, the present paper aims to define the family of complementary fuzzy β -neighborhoods and thus three kinds of covering-based multigranulation -fuzzy rough sets models are established. Their axiomatic properties are investigated. Also, six kinds of covering-based variable precision multigranulation -fuzzy rough sets are defined and some of their properties are studied. Furthermore, the relationships among our given types are discussed. Finally, a decision-making algorithm is presented based on the proposed (...)
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  39.  31
    The Denoting Century, 1905–2005 [review of Guido Imaguire and Bernard Linsky, eds., “On Denoting”, 1905–2005 ].Michael Scanlan - 2006 - Russell: The Journal of Bertrand Russell Studies 26 (2):167-178.
    In lieu of an abstract, here is a brief excerpt of the content:_Russell_ journal (home office): E:CPBRRUSSJOURTYPE2602\REVIEWS.262 : 2007-01-24 01:12 eviews THE DENOTING CENTURY, 1 19 90 05 5– –2 20 00 05 5 Michael Scanlan Philosophy / Oregon State U. Corvallis, or 97331, usa mscanlan@oregonstate.edu Guido Imaguire and Bernard Linsky, eds. On Denoting: 1905–2005. Munich: Philosophia Verlag, 2005. Pp. 451. 98.00. isbn 3-88405-091-5. his anniversary collection of papers connected with Russell’s 1905 publiTcation of “On Denoting” reflects both the almost (...)
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  40.  17
    On numerical characterizations of the topological reduction of incomplete information systems based on evidence theory.Yanlan Zhang & Changqing Li - 2023 - Journal of Intelligent Systems 32 (1).
    Knowledge reduction of information systems is one of the most important parts of rough set theory in real-world applications. Based on the connections between the rough set theory and the theory of topology, a kind of topological reduction of incomplete information systems is discussed. In this study, the topological reduction of incomplete information systems is characterized by belief and plausibility functions from evidence theory. First, we present that a topological space induced by a pair of approximation operators in (...)
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  41. Generalized plithogenic whole hypersoft set, PFHSS-Matrix, operators and applications as COVID-19 data structures.Shazia Rana, Muhammad Saeed, Madiha Qayyum & Florentin Smarandache - 2023 - Journal of Intelligent and Fuzzy Systems 44.
    This article is a preliminary draft for initiating and commencing a new pioneer dimension of expression. To deal with higher-dimensional data or information flowing in this modern era of information technology and artificial intelligence, some innovative super algebraic structures are essential to be formulated. In this paper, we have introduced such matrices that have multiple layers and clusters of layers to portray multi-dimensional data or massively dispersed information of the plithogenic universe made up of numerous subjects their attributes, and (...)
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  42. Acquiring knowledge from expert agents in a structured argumentation setting.Ramiro Andres Agis, Sebastian Gottifredi & Alejandro Javier García - 2019 - Argument and Computation 10 (2):149-189.
    Information-seeking interactions in multi-agent systems are required for situations in which there exists an expert agent that has vast knowledge about some topic, and there are other agents (questioners or clients) that lack and need information regarding that topic. In this work, we propose a strategy for automatic knowledge acquisition in an information-seeking setting in which agents use a structured argumentation formalism for knowledge representation and reasoning. In our approach, the client conceives the other agent as an expert in a (...)
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  43. Meillassoux’s Virtual Future.Graham Harman - 2011 - Continent 1 (2):78-91.
    continent. 1.2 (2011): 78-91. This article consists of three parts. First, I will review the major themes of Quentin Meillassoux’s After Finitude . Since some of my readers will have read this book and others not, I will try to strike a balance between clear summary and fresh critique. Second, I discuss an unpublished book by Meillassoux unfamiliar to all readers of this article, except those scant few that may have gone digging in the microfilm archives of the École normale (...)
     
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  44.  60
    The Constitution of Rhetoric's Tradition.Maurice Rene Charland - 2003 - Philosophy and Rhetoric 36 (2):119-134.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy and Rhetoric 36.2 (2003) 119-134 [Access article in PDF] The Constitution of Rhetoric's Tradition Maurice Charland Rhetoric is not a discipline. That is to say, as a domain of theoretical and practical knowledge, rhetoric is weakly institutionalized, lacking a centralized arbiter and standardized set of procedures for establishing truth claims. It also lacks the basic characteristics that Michel Foucault defines as disciplinary, for while we can identify "groups (...)
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    Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks.Xiaoling Huang, Lei Li, Hao Wang, Chengxiang Hu, Xiaohan Xu & Changlin Wu - 2022 - Complexity 2022:1-17.
    Labels provide a quick and effective solution to obtain people interesting content from large-scale social network information. The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time-consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set-based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose (...)
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    Emerging advancements in mathematical sciences.Bhagwati Prasad Chamola, Pato Kumari & Lakhveer Kaur (eds.) - 2022 - New York: Nova Science Publishers.
    The present book of proceedings includes chapters related to the areas of pure, applied and inter-disciplinary mathematics reflecting the potential applications in the domains of sciences and engineering. The main areas include algebra and its applications, analysis and approximation theory, cryptography, computational fluid dynamics, continuum mechanics and vibrations, differential equations and applications, graph theory, fuzzy mathematics and logic, numerical analysis, optimization and its applications, wave propagation, etc. The scientists, engineers, academicians and researchers working in the proposed areas of coding (...)
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  47.  7
    A set of five postulates for Boolean algebras in terms of the operation "exception"..James Sturdevant Taylor - 1920 - [Berkeley,: University of California press.
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    Kernel Neighborhood Rough Sets Model and Its Application.Kai Zeng & Siyuan Jing - 2018 - Complexity 2018:1-8.
    Rough set theory has been successfully applied to many fields, such as data mining, pattern recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two important models that differ in terms of granulation. The kernel rough sets model, which has fuzziness, is susceptible to noise in the decision system. The neighborhood rough sets model can handle noisy data well but cannot describe the fuzziness of the samples. In this study, we define a (...)
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    Internal Perception: The Role of Bodily Information in Concepts and Word Mastery.Luigi Pastore & Sara Dellantonio - 2017 - Berlin, Heidelberg: Springer Berlin Heidelberg. Edited by Luigi Pastore.
    Chapter 1 First Person Access to Mental States. Mind Science and Subjective Qualities -/- Abstract. The philosophy of mind as we know it today starts with Ryle. What defines and at the same time differentiates it from the previous tradition of study on mind is the persuasion that any rigorous approach to mental phenomena must conform to the criteria of scientificity applied by the natural sciences, i.e. its investigations and results must be intersubjectively and publicly controllable. In Ryle’s view, philosophy (...)
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    A Note on Strong Axiomatization of Gödel Justification Logic.Nicholas Pischke - 2020 - Studia Logica 108 (4):687-724.
    Justification logics are special kinds of modal logics which provide a framework for reasoning about epistemic justifications. For this, they extend classical boolean propositional logic by a family of necessity-style modal operators “t : ”, indexed over t by a corresponding set of justification terms, which thus explicitly encode the justification for the necessity assertion in the syntax. With these operators, one can therefore not only reason about modal effects on propositions but also about dynamics inside the justifications themselves. We (...)
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