نتایج جستجو برای: fuzzy e

تعداد نتایج: 1103823  

Journal: :Expert Syst. Appl. 2011
Xiaobing Yu Shunsheng Guo Jun Guo Xiaorong Huang

E-alliance is the union of e-commerce and its success and efficiency is related to comprehensive quality of e-commerce. Thus, ranking e-commerce websites in e-alliance is of importance, which is a multi-criteria decision-making (MCDM) problem. This paper proposes an evaluation model based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal ...

Journal: :Cybernetics and Systems 1997
Shyi-Ming Chen Ming-Shiow Yeh

This paper pre sents a new algorithm for constructing fuzzy de cision tree s from relational database systems and gene rating fuzzy rule s from the constructed fuzzy de cision tre es. We also pre sent a me thod for dealing with the comple tene ss of the constructed fuzzy decision tree s. Based on the gene rated fuzzy rule s, we also pre sent a method for e stimating null values in re lational d...

In the present paper, we introduce and study a fuzzy vector equilibrium problem and prove some existence results with and without convexity assumptions by using some particular forms of results of textit{Kim} and textit{Lee} [W.K. Kim and K.H. Lee, Generalized fuzzy games and fuzzy equilibria, Fuzzy Sets and Systems, 122 (2001), 293-301] and textit{Tarafdar} [E. Tarafdar, Fixed point theorems i...

Journal: :Int. J. Approx. Reasoning 1997
Adolfo R. de Soto Enric Trillas Susana Cubillo

By the representation's theorem it is known that a fuzzy relation R is a preorder if and only if R = inf~ e so If, where -~ is the set of logical states of I~ In this paper it is shown how, in almost all cases, both for the t-norm Min and archimedean t-norms T, it is possible to consider that the fuzzy sets I~ are normalized. Furthermore a partial order between logical states, defined from the ...

2005
CHENG-JIAN LIN CHENG-HUNG CHEN

K e y w o r d s C o m p e n s a t o r y , Fuzzy similarity measure, Inverted wedge system, Backpropagation algorithm. 1. I N T R O D U C T I O N Recently, the neural fuzzy approach to system modeling has become a popular research topic [110]. Moreover, the neural fuzzy method possesses the advantages of both the pure neural and the fuzzy methods; it brings the low-level learning and computation...

Journal: :Int. J. Computational Intelligence Systems 2010
Tolga Kaya

Success of an e-business company is strongly associated with the relative quality of its website compared to that of its competitors. The purpose of this study is to propose a multi-attribute e-business website quality evaluation methodology based on a modified fuzzy TOPSIS approach. In the proposed methodology, weights of the evaluation criteria are generated by a fuzzy AHP procedure. In perfo...

Journal: :Fuzzy Sets and Systems 1999
Derek A. Linkens Min-You Chen

A simple and e!ective method for selecting signi"cant input variables and determining optimal number of fuzzy rules when building a fuzzy model from data is proposed. In contrast to the existing clustering-based methods, in this approach both input selecting and partition validating are determined on the basis of a class of sub-clusters created by a self-organising network instead of on the dat...

Journal: :Kybernetika 1980
Siegfried Gottwald

In last years, a variety of papers on fuzzy sets and other fuzzy topics was concerned with set-algebraic operations for and properties of fuzzy sets. However, only few remarks are devoted to fuzzy cardinals. In classical set theory the cardinality of a set is a measure of its size or "power". In the fuzzy case one has to differentiate: there are measures of fuzziness and measures of power. Here...

Journal: :Semina: Ciências Biológicas e da Saúde 1986

2007
Jürgen Beringer

• J. Beringer and E. Hüllermeier. Efficient instance based learning on data streams. Adaptive optimization of the number of clusters in fuzzy clustering. Fuzzy clustering of parallel data streams. Adaptive optimization of the number of clusters in fuzzy clustering.

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