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Fuzzy Sets

Information and Control 8 (1):338--53 (1965)

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  1. Hybrid Extensional Prototype Compositionality.Jussi Jylkkä - 2011 - Minds and Machines 21 (1):41-56.
    It has been argued that prototypes cannot compose, and that for this reason concepts cannot be prototypes (Osherson and Smith in Cognition 9:35–58, 1981; Fodor and Lepore in Cognition 58:253–270, 1996; Connolly et al. in Cognition 103:1–22, 2007). In this paper I examine the intensional and extensional approaches to prototype compositionality, arguing that neither succeeds in their present formulations. I then propose a hybrid extensional theory of prototype compositionality, according to which the extension of a complex concept is determined as (...)
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  • Stacks not fuzzy sets: An ordinal basis for prototype theory of concepts.Gregory V. Jones - 1982 - Cognition 12 (3):281-290.
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  • Adjustable and Mean Potentiality Approach on Decision Making.J. Martina Jency & I. Arockiarani - 2015 - Neutrosophic Sets and Systems 11:12-20.
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  • A Developmental Review of the Philosophical and Conceptual Foundations of Grey Systems Theory.Ehsan Javanmardi, Sifeng Liu & Naiming Xie - forthcoming - Foundations of Science:1-47.
    Every scientific or intellectual movement rests on central premises and assumptions that shape its philosophy. The purpose of this study is to review a brief account of the main philosophical bases of grey systems theory (GST) and the paradigm governing its principles. So, the recent studies on the philosophical foundations of GST have been reviewed and tried to pay attention to some key ambiguities in the previous studies and give more and clearer explanations in this paper. Also, this paper tries (...)
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  • Exploring the Human Cognitive Capacity in Understanding Systems: A Grey Systems Theory Perspective.Ehsan Javanmardi & Sifeng Liu - 2020 - Foundations of Science 25 (3):803-825.
    The main purpose of this study is to probe into the human capacity of understanding systems and defects in human knowledge of the world. The study addresses the greyness levels and systems levels and explains why the world cannot be perceived as a purely white or black structure. It also clarifies why human knowledge of systems always remains grey. The investigation relies on logical and deductive reasoning and uses the theoretical foundations of systems thinking and Boulding’s systems hierarchy. The most (...)
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  • Elicitation and modelling of imprecise utility of health states.Michał Jakubczyk & Dominik Golicki - 2020 - Theory and Decision 88 (1):51-71.
    Utilities of health states are often estimated to support public decisions in health care. People’s preferences may be imprecise, for lack of actual trade-off experience. We show how to elicit the utilities accounting for imprecision, discover the main drivers of imprecision, and compare several approaches to modelling health state utility data in the fuzzy setting. We extended the time trade-off questionnaire, to elicit utilities of states defined in the EQ-5D-3L descriptive system in184 respondents. Our study demonstrates that respondents are capable (...)
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  • Multi-Objective Portfolio Selection Model with Diversification by Neutrosophic Optimization Technique.Sahidul Islam & Partha Ray - 2018 - Neutrosophic Sets and Systems 21:74-83.
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  • The Problem of Universals from the Scientific Point of View: Thomas Aquinas Should Be More Appreciated.Shiro Ishikawa - 2022 - Open Journal of Philosophy 12 (1):86-104.
    Recently we proposed the linguistic Copenhagen interpretation of quantum mechanics, which is called quantum language or measurement theory. This theory is valid for both quantum and classical systems. Thus, we think that quantum language is one of the most powerful scientific theories, like statistics, and thus, it is the scientific completion (i.e., the destination) of dualistic idealism. If so, we can introduce the concept “progress” in the dualistic idealism. For example, we can assert that [Plato → Descartes → Kant → (...)
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  • On Structural Properties of ξ -Complex Fuzzy Sets and Their Applications.Aneeza Imtiaz, Umer Shuaib, Hanan Alolaiyan, Abdul Razaq & Muhammad Gulistan - 2020 - Complexity 2020:1-13.
    Complex fuzzy sets are the novel extension of Zadeh’s fuzzy sets. In this paper, we comprise the introduction to the concept of ξ -complex fuzzy sets and proofs of their various set theoretical properties. We define the notion of α, δ -cut sets of ξ -complex fuzzy sets and justify the representation of an ξ -complex fuzzy set as a union of nested intervals of these cut sets. We also apply this newly defined concept to a physical situation in which (...)
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  • Redundancy Optimization of an Uncertain Parallel-Series System with Warm Standby Elements.Linmin Hu, Wei Huang, Guofang Wang & Ruiling Tian - 2018 - Complexity 2018:1-10.
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  • Intelligent Diagnosis Systems.K. Balakrishnan & V. Honavar - 1998 - Journal of Intelligent Systems 8 (3-4):239-290.
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  • Mathematical Fuzzy Logic – What It Can Learn from Mostowski and Rasiowa.Petr Hájek - 2006 - Studia Logica 84 (1):51-62.
    Important works of Mostowski and Rasiowa dealing with many-valued logic are analyzed from the point of view of contemporary mathematical fuzzy logic.
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  • Can Uncertainty Be Quantified?Sven Ove Hansson - 2022 - Perspectives on Science 30 (2):210-236.
    In order to explore the quantifiability and formalizability of uncertainty a wide range of uncertainties are investigated. They are summarized under eight main categories: factual, possibilistic, metadoxastic, agential, interactive, value, structural, and linguistic uncertainty. This includes both classical uncertainty and the uncertainties commonly called great, deep, or radical. For five of the eight types of uncertainty, both quantitative and non-quantitative formalizations are meaningful and available. For one of them (interactive uncertainty), only non-quantitative formalizations seem to be meaningful, and for two (...)
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  • Typicality, Graded Membership, and Vagueness.James A. Hampton - 2007 - Cognitive Science 31 (3):355-384.
    This paper addresses theoretical problems arising from the vagueness of language terms, and intuitions of the vagueness of the concepts to which they refer. It is argued that the central intuitions of prototype theory are sufficient to account for both typicality phenomena and psychological intuitions about degrees of membership in vaguely defined classes. The first section explains the importance of the relation between degrees of membership and typicality (or goodness of example) in conceptual categorization. The second and third section address (...)
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  • A demonstration of intransitivity in natural categories.James A. Hampton - 1982 - Cognition 12 (2):151-164.
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  • Fuzzy closure systems on L-ordered sets.Lankun Guo, Guo-Qiang Zhang & Qingguo Li - 2011 - Mathematical Logic Quarterly 57 (3):281-291.
    In this paper, notions of fuzzy closure system and fuzzy closure L—system on L—ordered sets are introduced from the fuzzy point of view. We first explore the fundamental properties of fuzzy closure systems. Then the correspondence between fuzzy closure systems and fuzzy closure operators is established. Finally, we study the connections between fuzzy closure systems and fuzzy Galois connections. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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  • What Is Fuzzy Probability Theory?S. Gudder - 2000 - Foundations of Physics 30 (10):1663-1678.
    The article begins with a discussion of sets and fuzzy sets. It is observed that identifying a set with its indicator function makes it clear that a fuzzy set is a direct and natural generalization of a set. Making this identification also provides simplified proofs of various relationships between sets. Connectives for fuzzy sets that generalize those for sets are defined. The fundamentals of ordinary probability theory are reviewed and these ideas are used to motivate fuzzy probability theory. Observables (fuzzy (...)
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  • LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications.Dangis Gudelis, Andrius Utka, Linas Selmistraitis, Renata Povolná, Marcin Trojszczak, Slavko Žitnik, Giedrė Valūnaitė Oleškevičienė, Chaya Liebeskind, Olga Dontcheva-Navrátilová, Anna Bączkowska & Barbara Lewandowska-Tomaszczyk - 2023 - Lodz Papers in Pragmatics 19 (2):301-324.
    The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categories underwent the definitional revision, and the present typology was tested in (...)
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  • Mereology then and now.Rafał Gruszczyński & Achille C. Varzi - 2015 - Logic and Logical Philosophy 24 (4):409–427.
    This paper offers a critical reconstruction of the motivations that led to the development of mereology as we know it today, along with a brief description of some problems that define current research in the field.
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  • A Multiple Definitions Model of Classification Into Fuzzy Categories.Thomas M. Gruenenfelder - 2019 - Frontiers in Psychology 10.
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  • Fuzzy Membership Mapped onto Intervals and Many‐Valued Quantities.I. Grattan-Guinness - 1976 - Mathematical Logic Quarterly 22 (1):149-160.
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  • Verallgemeinerte Peano‐Systeme.Siegfried Gottwald - 1972 - Mathematical Logic Quarterly 18 (1‐3):19-30.
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  • Verallgemeinerte Peano‐Systeme.Siegfried Gottwald - 1972 - Mathematical Logic Quarterly 18 (1-3):19-30.
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  • Universes of Fuzzy Sets and Axiomatizations of Fuzzy Set Theory. Part I: Model-Based and Axiomatic Approaches.Siegfried Gottwald - 2006 - Studia Logica 82 (2):211-244.
    For classical sets one has with the cumulative hierarchy of sets, with axiomatizations like the system ZF, and with the category SET of all sets and mappings standard approaches toward global universes of all sets. We discuss here the corresponding situation for fuzzy set theory.Our emphasis will be on various approaches toward (more or less naively formed)universes of fuzzy sets as well as on axiomatizations, and on categories of fuzzy sets.
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  • Universes of Fuzzy Sets and Axiomatizations of Fuzzy Set Theory. Part II: Category Theoretic Approaches.Siegfried Gottwald - 2006 - Studia Logica 84 (1):23-50.
    For classical sets one has with the cumulative hierarchy of sets, with axiomatizations like the system ZF, and with the category SET of all sets and mappings standard approaches toward global universes of all sets.We discuss here the corresponding situation for fuzzy set theory. Our emphasis will be on various approaches toward (more or less naively formed) universes of fuzzy sets as well as on axiomatizations, and on categories of fuzzy sets.
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  • Priority Roles of Stakeholders for Overcoming the Barriers to Implementing Education 4.0: An Integrated Fermatean Fuzzy Entropy-Based CRITIC-CODAS-SORT Approach. [REVIEW]Roselyn Gonzales, Rose Mary Almacen, Gamaliel Gonzales, Felix Costan, Decem Suladay, Lynne Enriquez, Emily Costan, Nadine May Atibing, Joerabell Lourdes Aro, Samantha Shane Evangelista, Fatima Maturan, Egberto Selerio & Lanndon Ocampo - 2022 - Complexity 2022:1-23.
    This work defines various stakeholder roles to overcome the barriers to implementing Education 4.0, which were recently identified in the domain literature. The stakeholder roles are evaluated against these barriers, and such evaluation is structured as a multicriteria sorting problem. To this end, an integrated entropy-based CRITIC-CODAS-SORT under a Fermatean fuzzy environment addresses epistemic uncertainties inherent in decision-making. The FF CRITIC assigns the priority weights of the barriers, while the FF CODAS-SORT determines the high-priority stakeholder roles. A case of an (...)
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  • The logic of inexact concepts.J. A. Goguen - 1969 - Synthese 19 (3-4):325-373.
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  • Quantifier scope, linguistic variation, and natural language semantics.David Gil - 1982 - Linguistics and Philosophy 5 (4):421 - 472.
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  • Vagueness and Formal Fuzzy Logic: Some Criticisms.Giangiacomo Gerla - 2017 - Logic and Logical Philosophy 26 (4).
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  • Turing L -machines and recursive computability for L -maps.Giangiacomo Gerla - 1989 - Studia Logica 48 (2):179 - 192.
    We propose the notion of partial recursiveness and strong partial recursiveness for fuzzy maps. We prove that a fuzzy map f is partial recursive if and only if it is computable by a Turing fuzzy machine and that f is strongly partial recursive and deterministic if and only if it is computable via a deterministic Turing fuzzy machine. This gives a simple and manageable tool to investigate about the properties of the fuzzy machines.
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  • TuringL-machines and recursive computability forL-maps.Giangiacomo Gerla - 1989 - Studia Logica 48 (2):179-192.
    We propose the notion of partial recursiveness and strong partial recursiveness for fuzzy maps. We prove that a fuzzy map f is partial recursive if and only if it is computable by a Turing fuzzy machine and that f is strongly partial recursive and deterministic if and only if it is computable via a deterministic Turing fuzzy machine. This gives a simple and manageable tool to investigate about the properties of the fuzzy machines.
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  • Sample logic.Matthias Gerner - 2022 - Logic Journal of the IGPL 30 (5):728-776.
    The need for a ‘many-valued logic’ in linguistics has been evident since the 1970s, but there was lack of clarity as to whether it should come from the family of fuzzy logics or from the family of probabilistic logics. In this regard, Fine [14] and Kamp [26] pointed out undesirable effects of fuzzy logic (the failure of idempotency and coherence) which kept two generations of linguists and philosophers at arm’s length. (Another unwanted feature of fuzzy logic is the property of (...)
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  • Related intuitions and the mental representation of causative verbs in adults and children.György Gergely & Thomas G. Bever - 1986 - Cognition 23 (3):211-277.
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  • Pavelka's Fuzzy Logic and Free L‐Subsemigroups.Giangiacomo Gerla - 1985 - Mathematical Logic Quarterly 31 (7‐8):123-129.
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  • Pavelka's Fuzzy Logic and Free L-Subsemigroups.Giangiacomo Gerla - 1985 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 31 (7-8):123-129.
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  • Fuzzy Logic Programming and Fuzzy Control.Giangiacomo Gerla - 2005 - Studia Logica 79 (2):231-254.
    We show that it is possible to base fuzzy control on fuzzy logic programming. Indeed, we observe that the class of fuzzy Herbrand interpretations gives a semantics for fuzzy programs and we show that the fuzzy function associated with a fuzzy system of IF-THEN rules is the fuzzy Herbrand interpretation associated with a suitable fuzzy program.
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  • Decidability, partial decidability and sharpness relation for l-subsets.Giangiacomo Gerla - 1987 - Studia Logica 46 (3):227-238.
    If X is set and L a lattice, then an L-subset or fuzzy subset of X is any map from X to L, [11]. In this paper we extend some notions of recursivity theory to fuzzy set theory, in particular we define and examine the concept of almost decidability for L-subsets. Moreover, we examine the relationship between imprecision and decidability. Namely, we prove that there exist infinitely indeterminate L-subsets with no more precise decidable versions and classical subsets whose unique shaded (...)
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  • A common generalization for MV-algebras and Łukasiewicz–Moisil algebras.George Georgescu & Andrei Popescu - 2006 - Archive for Mathematical Logic 45 (8):947-981.
    We introduce the notion of n-nuanced MV-algebra by performing a Łukasiewicz–Moisil nuancing construction on top of MV-algebras. These structures extend both MV-algebras and Łukasiewicz–Moisil algebras, thus unifying two important types of structures in the algebra of logic. On a logical level, n-nuanced MV-algebras amalgamate two distinct approaches to many valuedness: that of the infinitely valued Łukasiewicz logic, more related in spirit to the fuzzy approach, and that of Moisil n-nuanced logic, which is more concerned with nuances of truth rather than (...)
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  • Connecting bilattice theory with multivalued logic.Daniele Genito & Giangiacomo Gerla - 2014 - Logic and Logical Philosophy 23 (1):15-45.
    This is an exploratory paper whose aim is to investigate the potentialities of bilattice theory for an adequate definition of the deduction apparatus for multi-valued logic. We argue that bilattice theory enables us to obtain a nice extension of the graded approach to fuzzy logic. To give an example, a completeness theorem for a logic based on Boolean algebras is proved.
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  • Static output-feedback control for interval type-2 discrete-time fuzzy systems.Yabin Gao, Hongyi Li, Mohammed Chadli & Hak-Keung Lam - 2016 - Complexity 21 (3):74-88.
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  • Note on the integration of prototype theory and fuzzy-set theory.Gy Fuhrmann - 1991 - Synthese 86 (1):1 - 27.
    Many criticisms of prototype theory and/or fuzzy-set theory are based on the assumption that category representativeness (or typicality) is identical with fuzzy membership. These criticisms also assume that conceptual combination and logical rules (all in the Aristotelian sense) are the appropriate criteria for the adequacy of the above “fuzzy typicality”. The present paper discusses these assumptions following the line of their most explicit and most influential expression by Osheron and Smith (1981). Several arguments are made against the above identification, the (...)
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  • “Prototypes” and “fuzziness” in the logic of concepts.Gy Fuhrmann - 1988 - Synthese 75 (3):317 - 347.
    Prototypes and fuzziness are regarded in this paper as fundamental phenomena in the inherent logic of concepts whose relationship, however, has not been sufficiently clarified. Therefore, modifications are proposed in the definition of both. Prototypes are defined as the elements possessing maximal degree of membership in the given category such thatthis membership has maximal cognitive efficiency in representing theelement. A modified fuzzy set (m-fuzzy set) is defined on aclass (possibly self-contradictory collection) such that its core (the collection of elements with (...)
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  • Fuzziness of concepts and concepts of fuzziness.Gy Fuhrmann - 1988 - Synthese 75 (3):349 - 372.
    It has been a vexing question in recent years whether concepts are fuzzy. In this paper several views on the fuzziness of concepts are pointed out to have stemmed from dubious concepts of fuzziness. The underlying notions of the roles feasibly played byprototype, set, andprobability in modeling concepts strongly suggest that the controversy originates from a vague relation between intuitive and mathematical ideas in the cognitive sciences. It is argued that the application of fuzzy sets cannot resolve this vagueness since (...)
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  • On the notion of concept I.Michael Freund - 2008 - Artificial Intelligence 172 (4-5):570-590.
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  • A philosophical basis for decision aiding.Anthony N. S. Freeling - 1984 - Theory and Decision 16 (2):179-206.
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  • Effects, Observables, States, and Symmetries in Physics.David J. Foulis - 2007 - Foundations of Physics 37 (10):1421-1446.
    We show how effect algebras arise in physics and how they can be used to tie together the observables, states and symmetries employed in the study of physical systems. We introduce and study the unifying notion of an effect-observable-state-symmetry-system (EOSS-system) and give both classical and quantum-mechanical examples of EOSS-systems.
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  • Vagueness, truth and logic.Kit Fine - 1975 - Synthese 30 (3-4):265-300.
    This paper deals with the truth-Conditions and the logic for vague languages. The use of supervaluations and of classical logic is defended; and other approaches are criticized. The truth-Conditions are extended to a language that contains a definitely-Operator and that is subject to higher order vagueness.
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  • A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making.Qinrong Feng & Xiao Guo - 2018 - Complexity 2018:1-12.
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  • Physics is Organized Around Transformations Connecting Contextures in a Polycontextural World.Johannes Falk, Edwin Eichler, Katja Windt & Marc-Thorsten Hütt - 2022 - Foundations of Science 27 (3):1229-1251.
    The rich body of physical theories defines the foundation of our understanding of the world. Its mathematical formulation is based on classical Aristotelian logic. In the philosophy of science the ambiguities, paradoxes, and the possibility of subjective interpretations of facts have challenged binary logic, leading, among other developments, to Gotthard Günther’s theory of polycontexturality. Günther’s theory explains how observers with subjective perception can become aware of their own subjectivity and provides means to describe contradicting or even paradox observations in a (...)
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  • A simple logic for comparisons and vagueness.Theodore J. Everett - 2000 - Synthese 123 (2):263-278.
    This article provides an intuitive semantic account of a new logic for comparisons (CL), in which atomic statements are assigned both a classical truth-value and a “how much” value or extension in the range [0, 1]. The truth-value of each comparison is determined by the extensions of its component sentences; the truth-value of each atomic depends on whether its extension matches a separate standard for its predicate; everything else is computed classically. CL is less radical than Casari’s comparative logics, in (...)
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