Results for 'Fuzzy congruence'

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  1.  18
    Good fuzzy preorders on fuzzy power structures.Hongliang Lai & Dexue Zhang - 2010 - Archive for Mathematical Logic 49 (4):469-489.
    This paper deals with good fuzzy preorders on fuzzy power structures. It is shown that a fuzzy preorder R on an algebra ${(X,\mathbb{F})}$ is compatible if and only if it is Hoare good, if and only if it is Smyth good.
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  2.  40
    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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  3.  31
    Fuzzy power structures.George Georgescu - 2008 - Archive for Mathematical Logic 47 (3):233-261.
    Power structures are obtained by lifting some mathematical structure (operations, relations, etc.) from an universe X to its power set ${\mathcal{P}(X)}$ . A similar construction provides fuzzy power structures: operations and fuzzy relations on X are extended to operations and fuzzy relations on the set ${\mathcal{F}(X)}$ of fuzzy subsets of X. In this paper we study how this construction preserves some properties of fuzzy sets and fuzzy relations (similarity, congruence, etc.). We define the (...)
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  4.  30
    On the algebraic structure of linear, relevance, and fuzzy logics.Francesco Paoli - 2002 - Archive for Mathematical Logic 41 (2):107-121.
    Substructural logics are obtained from the sequent calculi for classical or intuitionistic logic by suitably restricting or deleting some or all of the structural rules (Restall, 2000; Ono, 1998). Recently, this field of research has come to encompass a number of logics - e.g. many fuzzy or paraconsistent logics - which had been originally introduced out of different, possibly semantical, motivations. A finer proof-theoretical analysis of such logics, in fact, revealed that it was possible to subsume them under the (...)
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  5. On some properties of quasi-MV algebras and $\sqrt{^{\prime }}$ quasi-MV algebras.Francesco Paoli, Antonio Ledda, Roberto Giuntini & Hector Freytes - 2009 - Reports on Mathematical Logic:31-63.
    We investigate some properties of two varieties of algebras arising from quantum computation - quasi-MV algebras and $\sqrt{^{\prime }}$ quasi-MV algebras - first introduced in \cite{Ledda et al. 2006}, \cite{Giuntini et al. 200+} and tightly connected with fuzzy logic. We establish the finite model property and the congruence extension property for both varieties; we characterize the quasi-MV reducts and subreducts of $\sqrt{^{\prime }}$ quasi-MV algebras; we give a representation of semisimple $\sqrt{^{\prime }}$ quasi-MV algebras in terms of algebras (...)
     
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  6. Fuzzy time”, a Solution of Unexpected Hanging Paradox (a Fuzzy interpretation of Quantum Mechanics).Farzad Didehvar - manuscript
    Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast literature about it, yet the use of Fuzzy issues like Fuzzy sets and Fuzzy numbers was relatively rare in time concept. This could be seen in the Fuzzy time series. In addition, some attempts are done in fuzzing Turing Machines but seemingly there is no need to fuzzy time. Throughout this article, we try to change this picture and (...)
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  7.  41
    A Fuzzy-Cognitive-Maps Approach to Decision-Making in Medical Ethics.Alice Hein, Lukas J. Meier, Alena Buyx & Klaus Diepold - 2022 - 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
    Although machine intelligence is increasingly employed in healthcare, the realm of decision-making in medical ethics remains largely unexplored from a technical perspective. We propose an approach based on fuzzy cognitive maps (FCMs), which builds on Beauchamp and Childress’ prima-facie principles. The FCM’s weights are optimized using a genetic algorithm to provide recommendations regarding the initiation, continuation, or withdrawal of medical treatment. The resulting model approximates the answers provided by our team of medical ethicists fairly well and offers a high (...)
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  8. 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 description (...)
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  9.  85
    Fuzzy Galois Connections.Radim Bêlohlávek - 1999 - Mathematical Logic Quarterly 45 (4):497-504.
    The concept of Galois connection between power sets is generalized from the point of view of fuzzy logic. Studied is the case where the structure of truth values forms a complete residuated lattice. It is proved that fuzzy Galois connections are in one-to-one correspondence with binary fuzzy relations. A representation of fuzzy Galois connections by Galois connections is provided.
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  10.  12
    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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  11.  42
    Value Congruence: A Study of Green Transformational Leadership and Employee Green Behavior.Xingdong Wang, Kong Zhou & Wenxing Liu - 2018 - Frontiers in Psychology 9:317025.
    This study examined the extent to which the impact of green transformational leadership on employee green behavior through follower perceptions of value congruence. Path analyzing on data from 193 subordinate-leader dyads showed that followers’ value congruence with their leader mediated the effects of green transformational leadership on employee green behavior. Results also supported that green identity moderated the indirect effect of green transformational leadership on employee green behavior through value congruence, such that the indirect effect was more (...)
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  12. Values congruence and differences between the interplay of personal and organizational value systems.Barry Z. Posner & Warren H. Schmidt - 1993 - Journal of Business Ethics 12 (5):341 - 347.
    Following the research of Liedtka (1989), this paper examines the impact of her values congruence model on managers'' work attitudes and perceptions of ethical practices within their firms. A nationwide cross-section of managers (N=1,059) provides the sample for the study. Consonance or clarity about both personal value systems and organizational value systems were found to be more important and, in the absence of one or the other, clarity of personal values were shown to have a more positive impact than (...)
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  13.  6
    Fuzzy logic: applications in artificial intelligence, big data, and machine learning.Lefteri H. Tsoukalas - 2023 - New York: McGraw Hill.
    This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills in students and professionals alike. Inside, you will discover how to apply fuzzy logic and migrate to a new man-machine relationship in the context of pervasive digitization and big data across emerging technologies. The book lays (...)
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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.  14
    Enhancing Congruence between Implicit Motives and Explicit Goal Commitments: Results of a Randomized Controlled Trial.Ramona M. Roch, Andreas G. Rösch & Oliver C. Schultheiss - 2017 - Frontiers in Psychology 8:266446.
    Objective: Theory and research suggest that the pursuit of personal goals that do not fit a person's affect-based implicit motives results in impaired emotional well-being, including increased symptoms of depression. The aim of this study was to evaluate an intervention designed to enhance motive-goal congruence and study its impact on well-being. Method: Seventy-four German students (mean age = 22.91, SD = 3.68; 64.9% female) without current psychopathology, randomly allocated to 3 groups: motivational feedback (FB; n = 25; participants learned (...)
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  16.  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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  17.  72
    Fuzzy intuitionistic quantum logics.Gianpiero Cattaneo, Maria L. Dalla Chiara & Roberto Giuntini - 1993 - Studia Logica 52 (3):419 - 442.
    Fuzzy intuitionistic quantum logics (called also Brouwer-Zadeh logics) represent to non standard version of quantum logic where the connective not is split into two different negation: a fuzzy-like negation that gives rise to a paraconsistent behavior and an intuitionistic-like negation. A completeness theorem for a particular form of Brouwer-Zadeh logic (BZL 3) is proved. A phisical interpretation of these logics can be constructed in the framework of the unsharp approach to quantum theory.
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  18.  40
    Negative congruency effects: A test of the inhibition account.Andrea Kiesel, Michael P. Berner & Wilfried Kunde - 2008 - Consciousness and Cognition 17 (1):1-21.
    Masked priming experiments occasionally revealed surprising effects: Participants responded slower for congruent compared to incongruent primes. This negative congruency effect was ascribed to inhibition of prime-induced activation [Eimer, M., & Schlaghecken, F. . Response faciliation and inhibition in subliminal priming. Biological Psychology, 64, 7–26.] that sets in if the prime activation is sufficiently strong. The current study tests this assumption by implementing manipulations designed to vary the amount of prime-induced activation in three experiments. In Experiments 1 and 3, NCEs were (...)
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  19.  38
    Congruence in Corporate Social Responsibility: Connecting the Identity and Behavior of Employers and Employees.Debbie Haski-Leventhal, Lonneke Roza & Lucas C. P. M. Meijs - 2017 - Journal of Business Ethics 143 (1):35-51.
    The multi-disciplinary interest in social responsibility on the part of individuals and organizations over the past 30 years has generated several descriptors of corporate social responsibility and employee social responsibility. These descriptors focus largely on socially responsible behavior and, in some cases, on socially responsible identity. Very few authors have combined the two concepts in researching social responsibility. This situation can lead to an oversimplification of the concept of CSR, thereby impeding the examination of congruence between employees and organizations (...)
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  20.  39
    Residuated fuzzy logics with an involutive negation.Francesc Esteva, Lluís Godo, Petr Hájek & Mirko Navara - 2000 - Archive for Mathematical Logic 39 (2):103-124.
    Residuated fuzzy logic calculi are related to continuous t-norms, which are used as truth functions for conjunction, and their residua as truth functions for implication. In these logics, a negation is also definable from the implication and the truth constant $\overline{0}$ , namely $\neg \varphi$ is $\varphi \to \overline{0}$. However, this negation behaves quite differently depending on the t-norm. For a nilpotent t-norm (a t-norm which is isomorphic to Łukasiewicz t-norm), it turns out that $\neg$ is an involutive negation. (...)
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  21. Fuzzy health, illness, and disease.Kazem Sadegh-Zadeh - 2000 - Journal of Medicine and Philosophy 25 (5):605 – 638.
    The notions of health, illness, and disease are fuzzy-theoretically analyzed. They present themselves as non-Aristotelian concepts violating basic principles of classical logic. A recursive scheme for defining the controversial notion of disease is proposed that also supports a concept of fuzzy disease. A sketch is given of the prototype resemblance theory of disease.
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  22. Fuzzy time”, from paradox to paradox (Does it solve the contradiction between Quantum Mechanics & General Relativity?).Farzad Didehvar - manuscript
    Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast literature about it, yet the use of Fuzzy issues like Fuzzy sets and Fuzzy numbers was relatively rare in time concept. This could be seen in the Fuzzy time series. In addition, some attempts are done in fuzzing Turing Machines but seemingly there is no need to fuzzy time. Throughout this article, we try to change this picture and (...)
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  23.  76
    Substructural Fuzzy Logics.George Metcalfe & Franco Montagna - 2007 - Journal of Symbolic Logic 72 (3):834 - 864.
    Substructural fuzzy logics are substructural logics that are complete with respect to algebras whose lattice reduct is the real unit interval [0.1]. In this paper, we introduce Uninorm logic UL as Multiplicative additive intuitionistic linear logic MAILL extended with the prelinearity axiom ((A → B) ∧ t) ∨ ((B → A) ∧ t). Axiomatic extensions of UL include known fuzzy logics such as Monoidal t-norm logic MTL and Gödel logic G, and new weakening-free logics. Algebraic semantics for these (...)
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  24.  7
    Fuzzy Sub-Equality Algebras Based on Fuzzy Points.Rajab Ali Borzooei, Mona Aaly Kologani, Mohammad Mohseni Takallo & Young Bae Jun - 2020 - Bulletin of the Section of Logic:28 pp..
    In this paper, by using the notion of fuzzy points and equality algebras, the notions of fuzzy point equality algebra, equality-subalgebra, and ideal were established. Some characterizations of fuzzy subalgebras were provided by using such concepts. We defined the concepts of \((\in, \in)\) and \((\in, \in\! \vee \, {q})\)-fuzzy ideals of equality algebras, discussed some properties, and found some equivalent definitions of them. In addition, we investigated the relation between different kinds of \((\alpha,\beta)\)-fuzzy subalgebras and (...)
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  25.  18
    When congruence breeds preference: the influence of selective attention processes on evaluative conditioning.Katarina Blask, Eva Walther & Christian Frings - 2017 - Cognition and Emotion 31 (6):1127-1139.
    We investigated in two experiments whether selective attention processes modulate evaluative conditioning. Based on the fact that the typical stimuli in an EC paradigm involve an affect-laden unconditioned stimulus and a neutral conditioned stimulus, we started from the assumption that learning might depend in part upon selective attention to the US. Attention to the US was manipulated by including a variant of the Eriksen flanker task in the EC paradigm. Similarly to the original Flanker paradigm, we implemented a target-distracter logic (...)
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  26.  45
    Fuzzy Trace Theory and Medical Decisions by Minors: Differences in Reasoning between Adolescents and Adults.E. A. Wilhelms & V. F. Reyna - 2013 - Journal of Medicine and Philosophy 38 (3):268-282.
    Standard models of adolescent risk taking posit that the cognitive abilities of adolescents and adults are equivalent, and that increases in risk taking that occur during adolescence are the result of socio emotional differences in impulsivity, sensation seeking, and lack of self-control. Fuzzy-trace theory incorporates these socio emotional differences. However, it predicts that there are also cognitive differences between adolescents and adults, specifically that there are developmental increases in gist-based intuition that reflects understanding. Gist understanding, as opposed to verbatim-based (...)
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  27.  20
    Congruence Effects in Post-crisis CSR Communication: The Mediating Role of Attribution of Corporate Motives.Sojung Kim & Sejung Marina Choi - 2018 - Journal of Business Ethics 153 (2):447-463.
    Corporate social responsibility has grown on the corporate agenda and is at the heart of today’s corporate culture. While much research has examined CSR strategies and effects, the effects of post-crisis CSR communication have received relatively little academic attention. Therefore, this paper uses two experimental studies to examine several key contingency factors that influence consumers’ responses to post-crisis CSR initiatives. Results suggest that consumers demonstrate more favorable responses when a company launches a CSR initiative congruent with the crisis issue, or (...)
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  28. Fuzzy Time, from Paradox to Paradox.Farzad Didehvar - manuscript
    Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast literature about it, yet the use of Fuzzy issues like Fuzzy sets and Fuzzy numbers was relatively rare in time concept. This could be seen in the Fuzzy time series. In addition, some attempts are done in fuzzing Turing Machines but seemingly there is no need to fuzzy time. Throughout this article, we try to change this picture and (...)
     
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  29.  40
    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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  30.  27
    Congruence Lattices of Semilattices with Operators.Jennifer Hyndman, J. B. Nation & Joy Nishida - 2016 - Studia Logica 104 (2):305-316.
    The duality between congruence lattices of semilattices, and algebraic subsets of an algebraic lattice, is extended to include semilattices with operators. For a set G of operators on a semilattice S, we have \ \cong^{d} {{\rm S}_{p}}}\), where L is the ideal lattice of S, and H is a corresponding set of adjoint maps on L. This duality is used to find some representations of lattices as congruence lattices of semilattices with operators. It is also shown that these (...)
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  31. About Fuzzy time-Particle interpretation of Quantum Mechanics (it is not an innocent one!) version one.Farzad Didehvar - manuscript
    The major point in [1] chapter 2 is the following claim: “Any formalized system for the Theory of Computation based on Classical Logic and Turing Model of Computation leads us to a contradiction.” So, in the case we wish to save Classical Logic we should change our Computational Model. As we see in chapter two, the mentioned contradiction is about and around the concept of time, as it is in the contradiction of modified version of paradox. It is natural to (...)
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  32. Fuzziness in Italy – Traces of a scattered history.Gianpiero Cattaneo, Giulianella Coletti, Antonio Di Nola, Mario Fedrizzi, Giangiacomo Gerla, Gabriella Pasi, Marco Elio Tabacchi, Settimo Termini & Aldo Ventre - 2017 - Archives for the Philosophy and History of Soft Computing 2017 (1).
    The history of Fuzziness in Italy is varied and scattered among a num- ber of research groups. As a matter of fact, “fuzziness” spread in Italy through a sort of spontaneous diffusion, and, also subsequently, no one felt the need to cre- ate some “national” common structure like an Association or similar things. Since a cohesive retelling would be next to impossible, a few members of the Italian fuzzy community have been asked to recount their experience and express their (...)
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  33. Fuzzy Cooky-Cutter Classes.Hugh S. Chandler - manuscript
    It seems clear that second order fuzziness (indeterminacy) is possible. There can be borderline cases of borderline cases. But how about third order cases? Is there no end of degrees of borderlinehood? I offer a somewhat strange little 'language game' that seems to suggest that the ascension ends with second order cases. (The 'game' is intended to be somewhat like a simplified version of color perception.).
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  34.  34
    Fuzzy Adaptation Algorithms’ Control for Robot Manipulators with Uncertainty Modelling Errors.Yongqing Fan, Keyi Xing & Xiangkui Jiang - 2018 - Complexity 2018:1-8.
    A novel fuzzy control scheme with adaptation algorithms is developed for robot manipulators’ system. At the beginning, one adjustable parameter is introduced in the fuzzy logic system, the robot manipulators system with uncertain nonlinear terms as the master device and a reference model dynamic system as the slave robot system. To overcome the limitations such as online learning computation burden and logic structure in conventional fuzzy logic systems, a parameter should be used in fuzzy logic system, (...)
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  35.  30
    Scene congruency biases Binocular Rivalry.Liad Mudrik, Leon Y. Deouell & Dominique Lamy - 2011 - Consciousness and Cognition 20 (3):756-767.
    Contextual regularities, that is, objects’ tendency to appear with certain other objects, facilitate the processing of visual scenes and confer contextually incongruent objects with a special attentional status. This study was aimed at investigating the mechanisms underlying this attentional advantage using Binocular Rivalry . In two experiments, congruent and incongruent images were pitted against each other, yielding a version of BR in which two objects rival within a given scene. Incongruent objects predominated in awareness longer than congruent ones. This effect (...)
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  36.  9
    Fuzzy Grammar:A Reader: A Reader.Bas Aarts, David Denison, Evelien Keizer & Gergana Popova (eds.) - 2004 - Oxford University Press UK.
    This book brings together classic and recent papers in the philosophical and linguistic analysis of fuzzy grammar, gradience in meaning, word classes, and syntax. Issues such as how many grains make a heap, when a puddle becomes a pond, and so forth, have occupied thinkers since Aristotle and over the last two decades been the subject of increasing interest among linguists as well as in fields such as artificial intelligence and computational linguistics. The work is designed to be of (...)
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  37.  6
    Fuzzy logic-based material selection and synthesis.Mustafa B. Babanli - 2018 - New Jersey: World Scientific.
    This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and selection of materials with desirable characteristics. Such approaches provide the ability of systematic and computationally effective analysis in order to predict composition, structure and related properties of new materials. The volume will be a useful advanced textbook for graduate students. It is also suitable for academicians and practitioners who wish to have fundamental models in (...)
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  38.  23
    Fuzzy modelling and model reference neural adaptive control of the concentration in a chemical reactor.M. Bahita & K. Belarbi - 2018 - AI and Society 33 (2):189-196.
    This simulation study is a fuzzy model-based neural network control method. The basic idea is to consider the application of a special type of neural networks based on radial basis function, which belongs to a class of associative memory neural networks. The novelty of this approach is the use of an RBF neural network controller in a model reference adaptive control architecture, based on a one-step-ahead Takagi–Sugeno fuzzy model. The objective is to control the concentration in a continuous (...)
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  39.  38
    Congruence Coherent Symmetric Extended de Morgan Algebras.T. S. Blyth & Jie Fang - 2007 - Studia Logica 87 (1):51-63.
    An algebra A is said to be congruence coherent if every subalgebra of A that contains a class of some congruence on A is a union of -classes. This property has been investigated in several varieties of lattice-based algebras. These include, for example, de Morgan algebras, p-algebras, double p-algebras, and double MS-algebras. Here we determine precisely when the property holds in the class of symmetric extended de Morgan algebras.
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  40.  24
    Potential congruence.Samuel Scheffler - 2008 - In Paul Bloomfield (ed.), Morality and Self-Interest. New York: Oxford University Press.
    Morality can hardly perform a function, which is discussed in this chapter, unless it offers directives that not only can but frequently do differ from those of self-interest itself. The idea of potential congruence asserts that the relation between morality and the interests of the individual agent is characterized by a high degree of mutual accommodation, so that the frequency and severity of conflict between these two perspectives is significantly reduced. Conflicts are nevertheless possible in principle, but the extent (...)
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  41.  58
    Fuzzy logic and arithmetical hierarchy III.Petr Hájek - 2001 - Studia Logica 68 (1):129-142.
    Fuzzy logic is understood as a logic with a comparative and truth-functional notion of truth. Arithmetical complexity of sets of tautologies and satisfiable sentences as well of sets of provable formulas of the most important systems of fuzzy predicate logic is determined or at least estimated.
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  42. 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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  43.  44
    Fuzzy logic and nursing.Eun-Ok Im & Wonshik Chee - 2003 - Nursing Philosophy 4 (1):53-60.
    In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and suggest fuzzy logic as an example of theoretical bases that help transcend the conflicts between objectivity and subjectivity, respect gray zones between black and white answers (...)
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  44.  6
    Congruence of ultrafilters.Boris Šobot - 2021 - Journal of Symbolic Logic 86 (2):746-761.
    We continue the research of the relation $\hspace {1mm}\widetilde {\mid }\hspace {1mm}$ on the set $\beta \mathbb {N}$ of ultrafilters on $\mathbb {N}$, defined as an extension of the divisibility relation. It is a quasiorder, so we see it as an order on the set of $=_{\sim }$ -equivalence classes, where $\mathcal {F}=_{\sim }\mathcal {G}$ means that $\mathcal {F}$ and $\mathcal {G}$ are mutually $\hspace {1mm}\widetilde {\mid }$ -divisible. Here we introduce a new tool: a relation of congruence modulo (...)
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  45. A Fuzzy Application of Techniques from Topological Supersymmetric Quantum Mechanics to Social Choice Theory: A New Insight on Flaws of Democracy.Wilfried Schachter - manuscript
    We introduce a new theorem in social choice theory built on a path integral approach which will show that, under some reasonable conditions, there is a unique way to aggregate individual preferences based on fuzzy sets into a social preference based on probabilities, and that this way is invariant under any permutation of alternatives. We then apply this theorem to the case of democratic decision making with data of the behaviour and voting preferences of voting agents and show that (...)
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  46.  28
    Value Congruence Awareness: Part 1. DNA Testing Sheds Light on Functionalism.Robert Isaac, L. Wilson & Douglas Pitt - 2004 - Journal of Business Ethics 54 (2):191-201.
    This exploratory study examines awareness of the other party''s instrumental, terminal, and work values by members of supervisor and employee dyads. Subjective estimates of value congruence, provided by either member of the dyad, correlated with actual value congruence scores determine conscious awareness levels in all cases. Results demonstrate supervisory awareness of employee terminal values, but not work values or instrumental values, even though these latter value types probably possess the greatest relevance to achieving organizational goals. Further, employees possess (...)
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  47. Fuzzy Concepts and Relations between Them.Vladimir Kuznetsov - 2006 - In М Попович (ed.), Problems of Mentality Theory. pp. 163-197.
    It is proposed to analyze fuzzy concepts and relations between them in the frame of triplet concept modeling. Fuzzy concepts are introduced by means of the so-called fuzzification of dichotomous concepts. The cognitive and psychological aspects of concept possession are separated and studied.
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  48. Super Fuzzy Matrices and Super Fuzzy Models for Social Scientists.W. B. Vasantha Kandasamy, Florentin Smarandache & K. Amal - 2008 - Ann Arbor, MI, USA: ProQuest Information & Learning.
    The concept of supermatrix for social scientists was first introduced by Paul Horst. The main purpose of his book was to introduce this concept to social scientists, students, teachers and research workers who lacked mathematical training. This book introduces the concept of fuzzy super matrices and operations on them. The author has provided only those operations on fuzzy supermatrices that are essential for developing super fuzzy multi expert models. This book will be highly useful to social scientists (...)
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    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 of (...)
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  50. 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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