In the relation to the fuzzy conditional probability relations that have a weaker symmetric property, the property can be used to provide two asymmetric similarity classes

Integrating the merits of fuzzy sets and rough sets, different rough-fuzzy clustering algorithms such as the rough fuzzy, c-mean, rough fuzzy possibility c-mean and

Furthermore, fuzzy soft set is employed to granulate the universe of discourse and a more general model called soft fuzzy rough set is established.. The lower and upper

We compare the raw data, Gaussian kernel based fuzzy rough sets, fuzzy information, Pawlak rough sets and neighbor- hood rough sets , triangle similarity based fuzzy rough sets and

XV Congreso Español sobre Tecnologías y Lógica Fuzzy Rough Sets and Fuzzy Rough

By using the outer and inner products of sets, we propose axiomatic systems for lower and upper approximations of Pawlak’s rough set over arbitrary universe, respectively.. In Section

This paper proposes new techniques for classification using rough sets, and fuzzy-rough sets and applied to this mammographic data, incorporating a fuzzy- rough feature

To our knowledge, this is the first attempt to simultaneously test the role of psychological safety as a psychological climate process, and psychological contract fulfillment

Examining the retention of nontraditional Latino(a) students in a career-based learning community. (2002) Participation and exclusion: A comparative analysis of non-traditional

Sets Type-2, Fuzzy Quantifiers Sets and α-Cut Fuzzy Sets Fuzzy Temporal Sets, Fuzzy Granular Sets and Fuzzy rough Sets for Incomplete Information“, iFUZZY 2014, 2014 International

investigated two types of coverings based multigranulation rough fuzzy sets and certain types of soft coverings based rough sets [32, 33, 35].. obtained novel class of fuzzy soft

The following proposition proves that the proposed approach provides a nested sequence of intuitionistic fuzzy rough lower and upper approximations corresponding to each

The source used in this PRCGEM model is the updated 2002 Regional/National I/O table based on “Input-Output Table of China in 1997” (from China’s State Statistical Bureau,

This paper proposes new techniques for classification using rough sets, and fuzzy-rough sets and applied to this mammographic data, incorporating a fuzzy- rough feature

introduced a new robust model of fuzzy rough sets, which are called soft fuzzy rough sets, where soft threshold was used to compute fuzzy lower and upper approximations [11].It has

This information loss is one of the main reasons why we introduce fuzzy sets into the models and why fuzzy rough sets are so interesting for feature selection: rough sets let us

Furthermore, we propose two new ex- tensions of the tight pair: for the first model, we apply the technique of representation by levels to define the approximation operators, while

Intuitionistic fuzzy sets as a generalization of fuzzy sets can be useful in situations when description of a problem by a (fuzzy) linguistic variable, given in