
Fuzzy Similarity Measures
FUZZY SIMILARITY MEASURES
LAP Lambert Academic Publishing
Published on 13. December 2010
Book
Paperback/Softback
84 pages
978-3-8433-7641-9 (ISBN)
Description
Similarity is a basic concept in in many research areas such as biology, chemistry, image retrieval, information retrieval, machine learning, psychology, cluster analysis, data mining, statistics etc. To make a general purpose definition of similarity measure as a mathematical concept is still a challenging task. Reflexivity and Symmetry are accepted as fundamental properties of similarity measures whreas there is a lack of consensus on the axioms of Monotonicity or Transitivity. In this monograph we focus on the study of relationship between concept of monotonicity of the fuzzy similarity relations with the concept of strong and weak fuzzy transitivity.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
143 gr
ISBN-13
978-3-8433-7641-9 (9783843376419)
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Schweitzer Classification
Persons
Dr. Samina Mazhar currently works as Asistant Professor Mathematics in Comsats Institute of Informaton Technology Lahore Campus, Pakistan. She completed her PhD in 2008. Her major area of research is Fuzzy Logic. She has several publications in international jounals and is coauthor of a book on Fuzzy Realtions already published with Lambart.