Fuzzy clustering techniques handle the fuzzy relationships among the data points and with the cluster centers (may be termed as cluster fuzziness). On the other hand, distance measures are important to compute the load of such fuzziness. These are the two important parameters governing the quality of the clusters and the run time. Visualization of multidimensional data clusters into lower dimen...

The Kóczy-Hirota Fuzzy Interpolation (“KH” method, Kóczy and Hirota, 1991) is the first method adapting the declarative way of fuzzy function definition and the related “fuzzy dot” rule representation by introducing the concept of Fuzzy Rule Interpolation (FRI). The original KH method had many followers. Most of the FRI methods have difficulties in freely defining the relation of the observatio...

Uncertainty and fuzziness pervade natural language both explicitly and implicitly. The explicit presence of uncertainty and fuzziness is exemplified by statements like "I believe that tomorrow will probably be a bit colder than today", while the presence of implicit uncertainty and/or fuzziness can be referred to background domain knowledge, e.g. in the statement "Tomorrow will be rainy because...

1 . IN T R O D U C T IO N Ergonomics, which focuses on the design of human–machine systems with respect to requisite compatibility between the users, products, systems, and environments, is often faced with the complex and uncertain relationships between human characteristics, various artifacts, and human activity requirements (Karwowski 1991). Investigation of such relationships must take into...

In this paper, I review some techniques used in compilers and runtime systems for parallel and distributed computation, involving aspects of fuzziness. Fuzziness is in a general sense considered as being present if the techniques applied classify, rate or otherwise handle information with some range of tolerance, if they operate with similarities, uncertainties, or do not seek for perfect/optim...

s: Constructivity, Complexity, and Fuzziness (CCF ’99) D.S. Bridges, C.S. Calude and L.S. Dediu (Editors) CDMTCS-110 July 1999 Centre for Discrete Mathematics and Theoretical Computer Science Constructivity, Complexity, and Fuzziness (CCF ’99) University “Dunărea de Jos” Galaţi, România 26–28 August 1999

Judging the quality of any decision making procedure is a key problem whenever there is no possibility of developing a sequence of experiments allowing some kind of ratio relative to good results. It may be the case that we have only chances for a unique experiment or no similar experiences are available, but it may be also the case that no standard experiment allows the observation of such a g...