Results 301 to 310 of about 500,880 (319)
Some of the next articles are maybe not open access.
Fuzzy Probabilistic Sets and r-Fuzzy Sets
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008In this paper, a connection between the fuzzy probabilistic set and the r-fuzzy set is established. Firstly, a new concept of r-fuzzy nested set is presented and it is pointed that a fuzzy probabilistic set is an equivalent class of a r-fuzzy nested set.
Hongxing Li, Cheng Zhang, Xue-hai Yuan
openaire +2 more sources
2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014), 2014
The fuzzy logic deals incomplete information with belief rather than probability. The fuzzy propositions deal with incomplete information. In this paper, a new representation of fizzy set typ-2, fuzzy set α-cut and fuzzy temporal set occurs in fuzzy propositions.
openaire +2 more sources
The fuzzy logic deals incomplete information with belief rather than probability. The fuzzy propositions deal with incomplete information. In this paper, a new representation of fizzy set typ-2, fuzzy set α-cut and fuzzy temporal set occurs in fuzzy propositions.
openaire +2 more sources
Fuzzy set theory. The concept of fuzzy sets
2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015The article provides information about fuzzy sets: its history, definitions, operations. Review of set theory and is accompanied by a choice task, provides a solution to one of the options.
openaire +2 more sources
2017
This entry presents a definition of fuzzy set theory and an overview of some applications to model flexible information retrieval systems. The entry focuses on a description of fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the representation of structured documents so as to ...
Kraft D, Bordogna G, Pasi G
openaire +4 more sources
This entry presents a definition of fuzzy set theory and an overview of some applications to model flexible information retrieval systems. The entry focuses on a description of fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the representation of structured documents so as to ...
Kraft D, Bordogna G, Pasi G
openaire +4 more sources
1985
Most of our traditional tools for formal modeling, reasoning, and computing are crisp, deterministic, and precise in character. By crisp we mean dichotomous, that is, yes-or-no-type rather than more-or-less type. In conventional dual logic, for instance, a statement can be true or false—and nothing in between.
openaire +2 more sources
Most of our traditional tools for formal modeling, reasoning, and computing are crisp, deterministic, and precise in character. By crisp we mean dichotomous, that is, yes-or-no-type rather than more-or-less type. In conventional dual logic, for instance, a statement can be true or false—and nothing in between.
openaire +2 more sources
Mathematica Applicanda, 1981
From the introduction: "The present article is an elementary introduction to the concept of fuzzy sets. There is a bibliography of 30 items.''
openaire +2 more sources
From the introduction: "The present article is an elementary introduction to the concept of fuzzy sets. There is a bibliography of 30 items.''
openaire +2 more sources
Fuzzy sets are fuzzy-continous [PDF]
22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, 2004 In a classical arrangement we have on the one hand discrete symbolic and on the other hand continous numerical data attributes. The following evident questions arise: How can fuzzy sets be integrated in this classical schema? Are fuzzy sets discrete and/or continous? Can we measure how discrete, or continous, respectively, an attribute is?
openaire +1 more source
Intuitionistic Fuzzy Sets as a Generalization of Fuzzy Sets
2014In the mid-1980s Atanassov introduced the concept of an intuitionistic fuzzy set. Basically, his idea was that unlike the conventional fuzzy sets in which imprecision is just modeled by the membership degree from [0,1], and for which the non-membership degree is just automatically the complementation to 1 of the membership degree, in an intuitionistic ...
openaire +2 more sources
International Journal of General Systems, 1990
The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive ...
openaire +2 more sources
The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive ...
openaire +2 more sources
On Fuzzy Sets Convolution, Fuzzy Lipschitz Sets and Triangular Fuzzy Sets of Rank p
2009In this paper we present some counterexamples to a result related to fuzzy Lipschitz sets and fuzzy sets convolution. Using the concept of fuzzy triangular set of rank p is presented an alternative proof of a interesting density result over fuzzy sets which was previosly proved by using the result belied.
Andrés D. Báez-Sánchez +1 more
openaire +2 more sources