1 Preamble Our article analyzes complexity of extracting information from fuzzy data. Such process can be properly viewed as contributing information, hence also alleviating uncertainty about the result of the process itself. Notion of information has been utilized frequently, both formally and informally. In the formal vein, Shannon entropy of probabilistic distributions is foremost, followed ...

Measurement results contain different kinds of uncertainty. Besides systematic errors andrandom errors individual measurement results are also subject to another type of uncertainty,so-called emph{fuzziness}. It turns out that special fuzzy subsets of the set of real numbers $RR$are useful to model fuzziness of measurement results. These fuzzy subsets $x^*$ are called emph{fuzzy numbers}. The m...

The main aim of this article is to compare the results of classical Shapley value concept with results of the Shapley value extended to the cooperative games with fuzzy coalitions applied on the real data of the cooperative simple game – in this case the data from the voting in the Lower House of the Czech Parliament 20022012. One of the most intriguing tasks is to describe real system problems...

recently, the economic crisis has resulted in instability in stock exchange market and this has caused high volatilities in stock value of exchanged firms. under these conditions, considering uncertainty for a favorite investment is more serious than before. multi-objective portfolio selection (return, liquidity, risk and initial cost of investment objectives) using minmax fuzzy goal programmin...

data obtained in association with many real-life random experiments from different fields cannot be perfectly/exactly quantified.hspace{.1cm}often the underlying imprecision can be suitably described in terms of fuzzy numbers/values. for these random experiments, the scale of fuzzy numbers/values enables to capture more variability and subjectivity than that of categorical data, and more accura...

Information fusion introduces special operators ◦ in probability theory and fuzzy theory. Some serious data certify in each cases these two quite distinct techniques. This communication will show that four postulates are the unique aim of these two theories. Evidence theory and fuzzy set theory replace often probabilities in medicine, economy and control. Fuzzy theory is used for example in Jap...

This work deals with spatial interpolation and problems related to the imprecision and the uncertainty of the data. Previous works led us to define a semantic-based aggregation process, which allows the combination of spatial data defined by fuzzy sets and possibility degrees. This article proposes to modify this aggregation process, in order to take into account a fuzzy variogram describing th...

This paper presents a rational approach to the representation and manipulation of imprecise degrees of belief in the framework of evidence theory. We adopt as a starting point the non probabilistic interpretation of belief functions provided by Smets’ Transferable Belief Model, as well as previous generalizations of evidence theory allowing to deal with fuzzy propositions. We then introduce the...

In this paper the concept of prob'abilistic events is introduced and their closure properties under the operations on the set of all fuzzy events are studied. I t is shown that the mean of probabilistie events is a probabilistie event and the set of all probabilistie events is closed under the transposition and the operation of the convex-combination. A sufficient conditioll for the union and t...