Information Processing and Management of Uncertainty in Knowledge-Based Systems - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Fuzzy Logic, Formal Concept Analysis and Rough Sets -- (Ir)relevant T-norm Joint Distributions in the Arithmetic of Fuzzy Quantities -- 1 Introduction -- 2 Preliminary Lemmas -- 3 Two Cases of Irrelevance -- A Montecatini Lemma -- B Computations for Examples 5 and 6 -- References -- Knowledge Extraction from L-Fuzzy Hypercontexts -- 1 Introduction -- 1.1 Formal Concept Analysis and L-Fuzzy Concept Analysis -- 1.2 OWA Operators -- 2 L-Fuzzy Hypercontexts -- 2.1 General Study -- 2.2 Study of a Particular Case -- 3 Conclusions and Future Lines -- References -- A Semantical Approach to Rough Sets and Dominance-Based Rough Sets -- 1 Introduction -- 2 Semantics of Rough Set Models -- 3 Different Characterizations for the Lower Approximation Operator Based on a Reflexive and Transitive Neighborhood Operator -- 4 Decision Rules in a Dominance-Based Rough Set Model -- 5 Conclusion and Future Work -- References -- Graded Generalized Hexagon in Fuzzy Natural Logic -- 1 Introduction -- 2 Preliminaries -- 2.1 The Basic Formal System -- 2.2 Theories of Evaluative Expressions and Intermediate Quantifiers -- 3 Graded Aristotle Hexagon -- 3.1 From Aristotle Square to Graded Square -- 3.2 From Graded Aristotle Square to Graded Aristotle Hexagon -- 3.3 From Graded Generalized Peterson's Square to Graded Generalized Hexagon -- 3.4 Example of the Graded Generalized Hexagon -- 4 Conclusion -- References -- On a Category of Extensional Fuzzy Rough Approximation L-valued Spaces -- 1 Introduction and Motivation -- 2 Prerequisites: The Context of the Work -- 2.1 Cl-Monoids and Residuated Lattices -- 2.2 GL-monoids -- 2.3 L-Equivalences and L-valued Sets -- 2.4 Extensional Fuzzy Sets -- 3 Fuzzy Rough Approximation Structure of L-valued Sets

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