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

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This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.

Open Data:

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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