We develop a new concept to extend a static interactive visualization package to a time-dependent animation environment by reusing as many as possible of the existing static classes and methods. The discussion is based on an object-oriented mathematical programming environment and is applied to parameter-dependent structures, time-dependent adaptive geometries and ow computations but most of th...

Executive Overview The term evidence-based management (EBMgt) is relatively new, though the idea of using research evidence to help make managerial decisions is not. In this paper we identify and clarify a number of common misconceptions about EBMgt. Rather than a single rigid method, EBMgt is a family of approaches that support decision making. It is something done by practitioners, not schola...

Concept maps have been extensively used in education, especially in science teaching. There is strong evidence that their use is associated with increased knowledge transfer and retention across several instructional conditions, settings and methodological features. However, constructing a concept map is complex and difficult for students, especially newbies. Consequently, there is a necessity ...

Concept lattices (also called Galois lattices) have been applied in numerous areas, and several algorithms have been proposed to construct them. Generally, the input for lattice construction algorithms is a binary matrix with size |G||M | representing binary relation I ⊆ G×M . In this paper, we consider polynomial delay algorithms for building concept lattices. Although the concept lattice may ...

In the last few years, the complexity of reasoning in fuzzy description logics has been studied in depth. Surprisingly, despite being arguably the simplest form of fuzzy semantics, not much is known about the complexity of reasoning in fuzzy description logics using the Gödel t-norm. It was recently shown that in the logic G-IALC under witnessed model semantics, all standard reasoning problems ...

Detecting and adapting to concept drift makes learning data stream classifiers a difficult task. It becomes even more complex when the distribution of classes in the stream becomes imbalanced. Currently, proper assessment of classifiers for such data is still a challenge, as existing evaluation measures either do not take into account class imbalance or are unable to indicate class ratio change...

In the present communication, the existing measures of fuzzy entropy are reviewed. A generalized parametric exponential fuzzy entropy is defined.Our study of the four essential and some other properties of the proposed measure, clearly establishes the validity of the measure as an entropy. Keywords—fuzzy sets, fuzzy entropy, exponential entropy, exponential fuzzy entropy.

This paper introduces a new concept learning system. Its main features are presented and discussed. The controlled use of redundancy is one of the main characteristics of the program. Redundancy, in this system, is used to deal with several types of uncertainty existing in real domains. The problem of the use of redundancy is addressed, namely its influence on accuracy and comprehensibility. Ex...

One of the most critical issues in many applications of fuzzy sets is the successful evaluation of membership values. A method based on pairwise comparisons provides an interesting way for evaluating membership values. That method was proposed by Saaty, almost 20 years ago, and since then it has captured the interest of many researchers around the world. However, recent investigations reveal th...

A new fast defuzzification method is presented. It is based on estimating the centroid position by fitting the fuzzy output shape into one single triangle. In regard to the computational time, this method is comparable to the “Bisector” method and provides better dynamical behavior. This new method was tested to control a second order plant and a benchmark Continuous Stirred Tank Reactor (CSTR).