A fuzzy logic system (FLS) is unique in that it is able to simultaneously handle numerical
data and linguistic knowledge. It is a nonlinear mapping of an input data (feature) vector into …

To facilitate decision support in the ecosystem management, ecological expertise and site-
specific data need to be integrated. Fuzzy logic can deal with highly variable, linguistic …

In retrospect, the year 1990 may well be viewed as the beginning of a new trend in the
design of household appliances, consumer electronics, cameras, and other types of widely …

In this paper, we contribute to the theory and development of defuzzification techniques. First
we define the core of a fuzzy set. Then we formulate a set of criteria for defuzzification in …

From the Publisher:" The emerging, powerful fuzzy control paradigm has led to the
worldwide success of countless commercial products and real-world applications. Fuzzy …

In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN)
associated with assorted membership functions (MF) were explored, considering significant …

In this article three methods are presented to perform the center of gravity (COG)
defuzzification method in the context of linguistic fuzzy models with t-norm-based inference …

Defuzzification is used to transform fuzzy inference results into crisp output. The standard
defuzzification methods fail in some applications. It is, therefore, important to select …

In this article, we envisage the hexagonal number from various distinct rational perspectives
and viewpoints to give it a look of a conundrum. Hexagonal fuzzy number is used as an …

The idea about this book has evolved during the process of its preparation as some of the
results have been achieved in parallel with its writing. One reason for this is that in this area …