A number of classifier fusion methods have been recently developed opening an alternative
approach leading to a potential improvement in the classification performance. As there is …

Generalized Measure Theory examines the relatively new mathematical area of generalized
measure theory. The exposition unfolds systematically, beginning with preliminaries and …

Multiple classifier fusion may generate more accurate classification than each of the
constituent classifiers. Fusion is often based on fixed combination rules like the product and …

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever
since have been a center of many discussions, fervently admired and condemned. Both …

Ensembles of learning machines constitute one of the main current directions in machine
learning research, and have been applied to a wide range of real problems. Despite of the …

Provides an in-depth and even treatment of the three pillars of computational intelligence
and how they relate to one another This book covers the three fundamental topics that form …

The Choquet and the Sugeno integral provide a useful tool in many problems in engineering
and social choice where the aggregation of data is required. However, their applicability is …

This handbook offers a fresh approach to computer vision. The whole vision process from
image formation to measuring, recognition, or reacting is regarded as an integral process …

Selection of appropriate suppliers in supply chain management strategy (SCMS) is a
challenging issue because it requires battery of evaluation criteria/attributes, which are …

We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier
system. The first GA version selects disjoint feature subsets to be used by the individual …