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By Doretta Vivona, Maria Divari (auth.), Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.)

ISBN-10: 3642317146

ISBN-13: 9783642317149

ISBN-10: 3642317154

ISBN-13: 9783642317156

These 4 volumes (CCIS 297, 298, 299, three hundred) represent the complaints of the 14th foreign convention on info Processing and administration of Uncertainty in Knowledge-Based platforms, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised complete papers offered including six invited talks have been conscientiously reviewed and chosen from quite a few submissions. The papers are prepared in topical sections on fuzzy laptop studying and online modeling; computing with phrases and selection making; delicate computing in desktop imaginative and prescient; tough units and intricate info research: conception and purposes; clever databases and data process; info fusion structures; philosophical and methodological points of sentimental computing; simple concerns in tough units; fortieth anniversary of the measures of fuziness; SPS11 uncertainty in profiling structures and functions; dealing with uncertainty with copulas; formal how to care for uncertainty of many-valued occasions; linguistic summarization and outline of information; fuzzy implications: concept and functions; sensing and knowledge mining for instructing and studying; thought and functions of intuitionistic fuzzy units; approximate points of information mining and database analytics; fuzzy numbers and their functions; details processing and administration of uncertainty in knowledge-based structures; aggregation capabilities; obscure percentages; probabilistic graphical versions with imprecision: thought and purposes; trust functionality thought: fundamentals and/or purposes; fuzzy uncertainty in economics and company; new developments in De Finetti's technique; fuzzy measures and integrals; multicriteria choice making; uncertainty in privateness and protection; uncertainty within the spirit of Pietro Benvenuti; coopetition; online game conception; probabilistic approach.

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Additional info for Advances in Computational Intelligence: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part II

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Assuming that the decision about whether μi = {xi } or μi = ∅ is independent for each i ∈ {1, . . , n}, then the global difficulty of making a decision can be calculated as the aggregation of the difficulties for each fuzzy singleton. In our view, this is the case for instance in the example posed in [2], in which there is a set of sensory units, each one in charge of detecting the presence of a value 1 or 0 meaning white or black. The collection of values reported by the set of units form a certain detected pattern.

A measure m is a way to state up to which extent elements x show Q. Notice that, – Axiom 1 is essential. Provided that once it is known x ≤Q y, it were not clear if the values m(x) and m(y) always verify either m(x) ≤ m(y), or m(x) ≥ m(y), or both values are not comparable under ≤, the measure will be confusing for what refers the growing of Q. What (1) shows is that m grows with the growing of Q in X, something that, of course, can happen in several ways. – Axioms (2) and (3) show that minimals and maximals do have, respectively, a kind of lowest and a kind of biggest measure.

15–24, 2012. c Springer-Verlag Berlin Heidelberg 2012 16 E. Trillas and D. S´anchez supposed that ≤Q comparatively reflects the quantity Q each two elements show. That is, x ≤Q y expresses that x shows less Q than y. This relation is the less it can be known to compare how elements x, y show Q, and what follows can be seen as a ‘minimal’ definition of measure. A measure of the elements in X respect to Q and (L, ≤) is a mapping m : X → L, such that: 1. If x ≤Q y, then m(x) ≤ m(y) 2. If (X, ≤Q ) at least has a minimal x0 , and (L, ≤) also has minimals, then m(x0 ) is one of these minimals (the minimum provided it exists).

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Advances in Computational Intelligence: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part II by Doretta Vivona, Maria Divari (auth.), Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.)


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