A genetic design of linguistic terms for fuzzy rule based classifiers
The determination of fuzzy information granules including the estimation of their membership functions play a significant role in fuzzy system design as well as in the design of fuzzy rule based classifiers (FRBCSs). However, although linguistic terms ...
Towards linguistic descriptions of phenomena
This paper deals with the development of computational systems that are able to provide users with meaningful linguistic descriptions of phenomena, i.e., of occurrences, circumstances, or facts that are perceptible by their senses. Current technology ...
A generalization of Yager's f-generated implications
Since Yager introduced f-generated implications in 2004, this class of fuzzy implications has been extensively investigated. In this paper, we generalize f-generated implications and get a new class of fuzzy implications called (f,g)-implications, which ...
A probabilistic approach to modelling uncertain logical arguments
Argumentation can be modelled at an abstract level using a directed graph where each node denotes an argument and each arc denotes an attack by one argument on another. Since arguments are often uncertain, it can be useful to quantify the uncertainty ...
Argue to agree: A case-based argumentation approach
The capability of reaching agreements is a necessary feature that large computer systems where agents interoperate must include. In these systems, agents represent self-motivated entities that have a social context, including dependency relations among ...
From inconsistency handling to non-canonical requirements management: A logical perspective
As a class of defects in software requirements specification, inconsistency has been widely studied in both requirements engineering and software engineering. It has been increasingly recognized that maintaining consistency alone often results in some ...
Formal approaches to rule-based systems in medicine: The case of CADIAG-2
There is no established formal framework for expert systems based on weighted IF-THEN rules. We discuss three mathematical models that have been recently proposed by the authors for CADIAG-2-a well-known system of this kind. The three frameworks are ...
Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction
Incomplete decision contexts are a kind of decision formal contexts in which information about the relationship between some objects and attributes is not available or is lost. Knowledge discovery in incomplete decision contexts is of interest because ...
The concept lattice functors
This paper is concerned with the relationship between contexts, closure spaces, and complete lattices. It is shown that, for a unital quantale L, both formal concept lattices and property oriented concept lattices are functorial from the category L-Ctx ...
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels
Fuzzy-rough sets have enjoyed much attention in recent years as an effective way in which to extend rough set theory such that it can deal with real-valued data. More recently, fuzzy-rough sets have been employed for the task of classification. This has ...
Model-based clustering of high-dimensional data: Variable selection versus facet determination
Variable selection is an important problem for cluster analysis of high-dimensional data. It is also a difficult one. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data are often ...
Reading dependencies from covariance graphs
The covariance graph (aka bi-directed graph) of a probability distribution p is the undirected graph G where two nodes are adjacent iff their corresponding random variables are marginally dependent in p. (It is worth mentioning that our definition of ...
Generalized information theory for hints
This paper develops a new uncertainty measure for the theory of hints that complies with the established semantics of statistical information theory and further satisfies all classical requirements for such a measure imposed in the literature. The ...