Flexible Approaches in Data, Information and Knowledge by Didier Dubois, Henri Prade (auth.), Olivier Pivert, Sławomir

By Didier Dubois, Henri Prade (auth.), Olivier Pivert, Sławomir Zadrożny (eds.)

This quantity showcases contributions from internationally-known researchers within the box of knowledge administration. lots of the ways offered the following utilize fuzzy good judgment, brought via L.A. Zadeh nearly 50 years in the past, which represent a robust software to version and deal with slow recommendations. What all of those contributions have in universal is putting the consumer on the middle of the knowledge procedure, be it for supporting him/her to question an information set, to deal with imperfect info, or to find priceless wisdom from an important choice of information.

Researchers operating in info and data administration will tremendously make the most of this choice of up to date reviews. this can be additionally a useful resource of knowledge for postgraduate scholars drawn to complicated info administration techniques.

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Fr D. Rocacher · N. fr N. fr O. Pivert and S. 1007/978-3-319-00954-4_3, © Springer International Publishing Switzerland 2014 45 46 L. Liétard et al. case for the ordinary querying) and a set of ranked answers from the most to the least preferred is obtained (instead of a set of indistinguishable answers). It has been shown that the fuzzy sets theory [15] provides a general framework for the definition and the interpretation of conditions expressing preferences. Atomic conditions are defined by fuzzy sets (to define fuzzy predicates also called fuzzy conditions) and the relational algebra has been extended to such conditions to propose the SQLf language [1, 10].

Default reasoning and possibility theory. Artif. Intell. 35(2), 243–257 (1988) 15. , pp. 45–60. Kluwer Academic Publishers, Norwell (1997) 16. : Bipolarity in flexible querying. Lect. Notes Artif. Intell. 2522, 174–182 (2002) 2 Constraint-Wish and Satisfied-Dissatisfied 43 17. : Handbook of Research on Fuzzy Information Processing in Databases, chap. Handling bipolar queries in Fuzzy Information Processing, pp. 97–114. Information Science Reference, New York (2008) 18. : Gradualness, uncertainty and bipolarity: making sense of fuzzy sets.

400–500 sq. m. or slightly less’. This case is still well suited to be represented in the constraint-wish based approach although only the weak consistency is preserved. A kind of the counterpart of the above in the framework of the satisfied-dissatisfied approach, again in the spirit of Fig. 2a, is shown in Fig. 3a. 2 Constraint-Wish and Satisfied-Dissatisfied 29 3 Ranking of Query Results After evaluating a bipolar query condition for all potential query results, every resulting record Ri will have an associated pair of calculated satisfaction degrees, either a pair (c(Ri ), w(Ri )) or a BSD (s(Ri ), d(Ri )).

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