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 proponents and opponents consider the argu- ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa- per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave.," . . . Why then the "logic" in "fuzzy logic"? I don't...
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 adm...
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 proponents and opponents consider the argu- ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa- per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave.," . . . Why then the "logic" in "fuzzy logic"? I don't...
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 adm...
A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition
The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004. Dr. Kuncheva has plucked from the rich landscape of recent classifier ensemble literature the topics, methods, and algorithms that will guide the reader toward a deeper understanding of the fundamentals, design, and applications of...
A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now i...