We present an approach to matchmaking in P2P e-marketplaces, which mixes in a formal and principled way Datalog, fuzzy sets and utility theory, in order to determine most promising matches between perspective counterparts. Use of Datalog ensures the scalability of our approach to large marketplaces, while Fuzzy Logic provides a neat connection with logical specifications and allows to model sof...

An approach to predict from a data stream of real estate sales transactions based on ensembles of genetic fuzzy systems was presented. The proposed method relies on incremental expanding an ensemble by models built over successive chunks of a data stream. The output of aged component models produced for current data is updated according to a trend function reflecting the changes of premises pri...

How well do you know your favorite computational model of cognition? Most likely your knowledge of its behavior has accrued from tests of its ability to mimic human data, what we call local analyses because performance is assessed in a speciÞc testing situation. Global model analysis by landscaping is an approach that “sketches” out the performance of a model at all of its parameter values, cre...

I will not discuss here the alleged equivalence between fuzzy and two-valued logic; by choosing criteria established for the more restricted two-valued formalism, Elkan does not have a suitable framework for a meaningful comparison. To point out prerequisites for the practical usefulness of knowledge representation formalisms, I will focus on the role of fuzzy logic in linking two formally inco...

The popular linear PID controller is mostly e3ective for linear or nearly linear control problems. Nonlinear PID controllers, however, are needed in order to satisfactorily control (highly) nonlinear plants, time-varying plants, or plants with signi5cant time delay. This paper extends our previous papers in which we show rigorously that some fuzzy controllers are actually nonlinear PI, PD, and ...

The paper presents a preliminary investigation of potential methods for extracting semantic views of text contents, which go beyond standard statistical indexation. The aim is to build kinds of fuzzily weighted structured images of semantic contents. A preliminary step consists in identifying the different types of relations (is-a, part-of, related-to, synonymy, domain, glossary relations) that...

In this paper, a quadratic programming (FFQP) problem is considered in which all of the cost coefficients, constraints coefficients, and right hand side of the constraints are characterized by L-R fuzzy numbers. Through this paper, the concept of α- level of fuzzy numbers for the objective function, and the order relations on the fuzzy numbers for the constraints are considered.  To optimize th...

Differentiable renderers provide a direct mathematical link between an object’s 3D representation and images of that object. In this work, we develop approximate differentiable renderer for compact, interpretable representation, which call Fuzzy Metaballs. Our focuses on rendering shapes via depth maps silhouettes. It sacrifices fidelity utility, producing fast runtimes high-quality gradient in...

The widespread use of the Internet has significantly changed the behavior of homebuyers. Using information technology, homebuyers can rapidly find an appropriate house that meets their needs. Although online real estate agents can screen out first based on homebuyers’ requirements, however, most of current online housing systems are of limited abilities, particularly without considering homebuy...

Most information discovery processes need to understand the reasons of the success of the inference methods or the usability of the new information, which can sometimes be somehow explained with a few useful measures on the premises or on the chosen relations, logics and implications. This chapter presents a state of art on the latest concepts of measure, from the additive measures, to monotone...