Distances and Similarities in Intuitionistic Fuzzy Sets

• Main Author: Szmidt, Eulalia (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Studies in Fuzziness and Soft Computing, 307
• Subjects: Engineering.; Artificial intelligence.; Operations research.; Management science.; Computational intelligence.; Computational Intelligence.; Operations Research, Management Science.; Artificial Intelligence (incl. Robotics).

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers...

Table of Contents:

• Intuitionistic Fuzzy Sets as a Generalization of Fuzzy Sets
• Distances
• Similarity Measures between Intuitionistic Fuzzy Sets.