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What is Sugeno Fuzzy Integral

Handbook of Research on Fuzzy Information Processing in Databases
Aggregate operator which can be viewed as a compromise between two aspects: (1) a certain quantity (a fuzzy measure) and (2) a quality of information (a fuzzy set).
Published in Chapter:
Evaluation of Quantified Statements Using Gradual Numbers
Ludovic Liétard (IRISA/IUT & IRISA/ENSSAT, France) and Daniel Rocacher (IRISA/IUT & IRISA/ENSSAT, France)
Copyright: © 2008 |Pages: 24
DOI: 10.4018/978-1-59904-853-6.ch010
Abstract
This chapter is devoted to the evaluation of quantified statements which can be found in many applications as decision making, expert systems, or flexible querying of relational databases using fuzzy set theory. Its contribution is to introduce the main techniques to evaluate such statements and to propose a new theoretical background for the evaluation of quantified statements of type “Q X are A” and “Q B X are A.” In this context, quantified statements are interpreted using an arithmetic on gradual numbers from Nf, Zf, and Qf. It is shown that the context of fuzzy numbers provides a framework to unify previous approaches and can be the base for the definition of new approaches.
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